{"schema_version":1,"catalog_status":"ok","verified_at":"2026-10-17T10:04:19.148Z","source_status":[{"board":"apptronik","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":55},{"board":"nuro","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":82},{"board":"agilityrobotics","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":45},{"board":"figureai","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":57},{"board":"intrinsicrobotics","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":20},{"board":"waymo","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":228},{"board":"torcrobotics","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":39},{"board":"maymobility","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":23},{"board":"pathrobotics","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":33},{"board":"locusrobotics","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":3},{"board":"diligentrobotics","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":6},{"board":"andurilindustries","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":131},{"board":"zoox","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":172},{"board":"shieldai","status":"ok","checkedAt":"2026-10-17T10:04:19.148Z","jobs":75}],"page":1,"page_size":100,"total":75,"next_url":null,"items":[{"id":"shieldai-000362bc-8cc0-4569-8b47-a3c463f67b2f","url":"https://roboticjobs.ai/jobs/shieldai-000362bc-8cc0-4569-8b47-a3c463f67b2f","employer_url":"https://jobs.lever.co/shieldai/000362bc-8cc0-4569-8b47-a3c463f67b2f","title":"Technical Program Manager, Mission Autonomy - V-BAT (R6151)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Dallas, Texas","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$180,000 – $270,000","compensation":[{"min":180000,"max":270000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $180,000 – $270,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Technical Program Manager, V-BAT Mission Autonomy Integration","We are looking for an exceptional Technical Program Manager to lead the integration of Shield AI’s Hivemind autonomy stack onto V-BAT. This role is embedded within the Aircraft division and serves as a critical coordination point between the aircraft engineering and autonomy software teams to deliver mission-ready autonomous systems.","You will drive alignment across hardware and software development activities, ensuring aircraft, autonomy software, and operational teams remain synchronized throughout the full product lifecycle. This role requires close coordination with distributed engineering teams across Arlington, VA and San Diego, CA.","The ideal candidate combines strong technical program management fundamentals with hands-on experience coordinating complex hardware/software integration efforts. You will drive schedule, cost, technical performance, integration readiness, and operational outcomes while helping define the future of autonomous aviation.","What you'll do:","Lead Aircraft & Autonomy Integration Programs","Serve as the program manager responsible for the successful integration of Shield AI’s Hivemind autonomy software onto V-BAT.","Drive Hardware & Software Alignment","Operate as an embedded partner to aircraft engineering teams ensuring software development aligns with hardware integration, manufacturing, lab availability, and flight test schedules.","Establish Clear Objectives","Work closely with product managers, engineering leads, operations, and executive leadership to define clear program objectives tied to mission impact, customer success, strategic growth, financial outcomes, and technical performance.","Program & Project Management","Own development and execution of integrated project plans including scope, schedules, milestones, dependencies, budgets, and resource allocation. Continuously evaluate and rebalance customer priorities, technical risks, cost constraints, and schedule demands throughout the program.","Drive Timely, High-Quality Decisions","Facilitate rigorous, fast, and effective technical and programmatic decision-making across cross-functional teams. While not expected to design systems directly, you will possess sufficient technical depth to identify risks, challenge assumptions, and drive alignment.","Integration & Flight Test Readiness","Coordinate system integration activities across labs, ground test, and flight test operations. Drive readiness reviews, integration milestones, and closure of technical dependencies required to support successful aircraft integration and operational deployment. Identify potential bottlenecks, critical path risks, and schedule delays, and drive mitigation strategies to achieve program milestones and delivery commitments. Conduct critical path analyses and support program execution through Gate Reviews, Program Management Reviews (PMRs), and Estimates at Completion (EACs).","Communicate with Excellence","Drive a consistent cadence of well-organized, effective meetings, including preparation, facilitation, action tracking, and follow-up. Ensure stakeholders remain aligned on status, milestones, priorities, risks, integration readiness, and technical challenges.","Drive Technical Execution","Support the development and refinement of technical and operational documentation, engineering change orders, work instructions, service bulletins, operational procedures, and integration documentation.","Empower Teams & Remove Obstacles","Create an environment where teams have the clarity, tools, accountability, and support needed to execute effectively. Escalate issues quickly, streamline processes, eliminate blockers, and foster a culture of ownership, urgency, and continuous improvement.","Deliver Outcomes","Drive accurate and timely tracking and reporting of program financials, resources, schedules, integration status, and customer deliverables.","Support Growth & Strategic Initiatives","Support business development activities related to current and future autonomy integration programs, including proposals, requests for information (RFIs), requests for proposals (RFPs), technical evaluations, and strategic customer engagements.","Required qualifications:","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Experience leading complex cross-functional engineering programs from concept through production and operational deployment.","Strong technical understanding of software-enabled systems, autonomy, aerospace systems, or complex integrated products.","Demonstrated success managing program execution across scope, schedule, budget, risk, and technical performance in fast-paced environments.","Experience with Program Management Reviews (PMRs), gate reviews, and estimates.","Exceptional communication and stakeholder management skills with the ability to lead through influence across distributed teams.","Strong analytical, organizational, and problem-solving skills in fast-paced environments.","Demonstrated ownership, accountability, and ability to drive execution with high standards and collaboration.","Preferred qualifications:","Experience integrating autonomy or software systems onto defense platforms.","Experience in software development, autonomy development, or systems engineering.","Experience managing clean-sheet defense or technology development programs.","PMP and/or Certified Scrum Master (CSM) certification.","Familiarity with DoD contracting, defense acquisition, or national security programs.","Experience balancing aggressive timelines with complex engineering constraints.","Eligible to obtain and maintain a U.S. Secret clearance.","Employer-disclosed pay range: $180,000 – $270,000 USD per year.","#LI-DS5","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-05-23T00:51:10.538Z","date_posted":null,"valid_through":null},{"id":"shieldai-042bdefc-dd82-4f5c-a966-06345a1a78d1","url":"https://roboticjobs.ai/jobs/shieldai-042bdefc-dd82-4f5c-a966-06345a1a78d1","employer_url":"https://jobs.lever.co/shieldai/042bdefc-dd82-4f5c-a966-06345a1a78d1","title":"Senior Staff Engineer, Autonomy (R5837)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI is a venture-backed defence technology company building intelligent autonomous systems for aircraft. Our mission is to protect service members and civilians through AI and autonomy.","We’re on the lookout for an experienced Staff Engineer, Autonomy to join our Hivemind Solutions team and help design, build, and deploy real-world autonomous capabilities for uncrewed systems. This is a hands-on engineering role, blending software development with robotics, perception, and path planning. You’ll be joining a high-performing team shaping the future of AI pilots for solving real-world problems.","If you’re a capable C++ developer with a passion for robotics and autonomy, this is your chance to make a real impact.","What you'll do:","As an Senior Staff Engineer, Autonomy you’ll work at the intersection of artificial intelligence, task & motion planning and controls.","Design and implement autonomous behaviours for uncrewed aircraft.","Work with real sensor data and build robust sensor fusion solutions.","Develop and test autonomy systems in high-fidelity software and hardware in-the-loop simulations.","Integrate Shield AI autonomy products together with third-party aircraft and systems.","Collaborate across AI, robotics, and systems engineering teams to deliver integrated solutions.","Contribute to architecture, code quality, design reviews and best practices.","Lead and Mentor junior engineers","Required qualifications:","A tertiary level qualification in Computer Science, Mechatronics, Software Engineering, Aerospace, Robotics or a related field","Significant professional experience in robotics, autonomy, perception or aerospace systems","Strong experience in modern C++","Significant experience in building and delivering reliable software systems, ideally in fast-paced environments","Preferred qualifications:","Prior experience with uncrewed systems, especially in the air domain","Defence industry experience","Significant experience in one or more of the following domains:","State Estimation","Real-Time Systems","Guidance, Navigation and Control","Path Planning","Eligibility","Our mission is to protect service members and civilians with intelligent systems, and this role supports that mission directly by working with Australian Government classified material. It requires an Australian Government security clearance at [Baseline / NV1 / NV2] level.","You don't need to hold a clearance already, we will sponsor your clearance and support you, because mission first, people always. Australian citizenship is a mandatory requirement for this role. It is a condition of clearance eligibility set by the Australian Government, eligibility details are here: https://www.agsva.gov.au/applicants/eligibility-suitability","#LE","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-08T20:58:44.066Z","date_posted":null,"valid_through":null},{"id":"shieldai-0a4c3e5c-3b63-4f16-a483-3a8247f78228","url":"https://roboticjobs.ai/jobs/shieldai-0a4c3e5c-3b63-4f16-a483-3a8247f78228","employer_url":"https://jobs.lever.co/shieldai/0a4c3e5c-3b63-4f16-a483-3a8247f78228","title":"Senior Staff Engineer, Software Autonomy (R5125)","employer":{"id":"shieldai","name":"Shield AI"},"location":"New Delhi","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","The Senior Staff Software Engineer, Autonomy will function as a hands on technical lead / subject matter expert and collaborate with Shield AI teammates / customers to build edge-AI and autonomy software for platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration, and mentoring teammates.","What you'll do:","Examples of Projects You will Work On:","Autonomous teaming drones.","Teaming between helicopters and drones.","Autonomy on Robodogs.","AI Pilots for Fighter Jets","and more!","Learn Hivemind: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.","Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.","High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.","Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.","Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.","Hardware Software Integration:","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.","Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.","Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.","R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.","Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.","Handover / Training: Provide software handover and training to customers for their autonomy development efforts.","Documentation: Develop and maintain technical documentation for customer as well as internal use.","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel).","Required qualifications:","Bachelor’s and Masters degree in Aerospace, AI, Computer Science, Robotics or a related engineering field.","12+ years of experience of industry experience","Ability to travel and stay deployed at customer sites across India/Asia.","3+ years of experience hands on writing software for autonomy/robotics applications.","2+ years of experience working in a startup environment.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Intermediate proficiency in writing Python code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Ability converse fluently in Hindi and English.","Preferred qualifications:","Experience in the defense aviation or robotics industry.","Ability to travel to USA for up to 3 months at a time for training.","#LI-LD2","#LE","Total package details for U.S. based positions:","- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity","- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days","of employment)","- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity","Total package details for International positions which are roles based outside of the United States (where applicable):","- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer","allowance, equity, international benefits, visa assistance, and relocation assistance.","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-04T17:23:41.442Z","date_posted":null,"valid_through":null},{"id":"shieldai-104a9e83-0848-49c7-9d82-64618bbb39cb","url":"https://roboticjobs.ai/jobs/shieldai-104a9e83-0848-49c7-9d82-64618bbb39cb","employer_url":"https://jobs.lever.co/shieldai/104a9e83-0848-49c7-9d82-64618bbb39cb","title":"Staff Software Engineer, Perception (R5421)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$195,200 – $292,800","compensation":[{"min":195200,"max":292800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,200 – $292,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.","In this role, you'll lead the technical development of advanced machine learning solutions that define the future of perception for autonomous systems. You'll own the team's most challenging technical problems, drive architecture and model development across multiple efforts, and influence how foundation models are adapted, evaluated, and deployed for real-world autonomy. Working closely with researchers, perception engineers, autonomy engineers, and platform teams, you'll bridge cutting-edge AI research with scalable production systems while mentoring engineers and raising the technical bar across the organization.","What You'll Do:","Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems.","Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks.","Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks.","Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments.","Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability.","Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems.","Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements.","Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery.","Required Qualifications:","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Expertise of machine learning fundamentals.","Experience training an deploying ML models for computer vision in a production setting.","Strong understanding of 3D vision problems/algorithms.","Experience with machine learning frameworks such as PyTorch and TensorFlow.","Demonstrated expertise in deploying models using TensorRT and ONNX.","Proficiency in C++ and Python.","Strong analytical and problem-solving skills, with the ability to translate research into practical applications.","Ability to obtain a SECRET clearance","Preferred Qualifications:","Experience with developing autonomous systems for defense customers.","Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.","Contributions to open-source projects in machine learning or computer vision.","Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).","Employer-disclosed pay range: $195,200 – $292,800 USD per year.","#LI-DS-1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-28T21:33:54.035Z","date_posted":null,"valid_through":null},{"id":"shieldai-1120529c-2f7d-4b27-a29b-50976c49c433","url":"https://roboticjobs.ai/jobs/shieldai-1120529c-2f7d-4b27-a29b-50976c49c433","employer_url":"https://jobs.lever.co/shieldai/1120529c-2f7d-4b27-a29b-50976c49c433","title":"Manager, Software - Perception (R3770)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["SLAM","PyTorch"],"advertised_pay":"$220,441 – $330,661","compensation":[{"min":220441,"max":330661,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $220,441 – $330,661 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms.","Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.","What you'll do:","Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.","Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.","Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.","Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.","Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.","Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.","Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.","Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.","Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.","Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","5+ years of experience in Unmanned Systems programs in the DoD or applied R&D","2+ years of people leadership experience","Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.","Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.","Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.","Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.","Proficiency with version control, debugging, and test-driven development in cross-functional teams.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Hands-on integration or algorithm development with airborne sensing systems.","Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.","Experience deploying perception software on SWaP-constrained platforms.","Familiarity with validating perception systems during flight test events or operational environments.","Understanding of sensing challenges in denied or degraded conditions.","Exposure to perception applications across air, maritime, and ground platforms.","Employer-disclosed pay range: $220,441 – $330,661 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-03-26T18:23:12.649Z","date_posted":null,"valid_through":null},{"id":"shieldai-144f5cec-7d0c-40eb-99b9-dd6f89fa7a91","url":"https://roboticjobs.ai/jobs/shieldai-144f5cec-7d0c-40eb-99b9-dd6f89fa7a91","employer_url":"https://jobs.lever.co/shieldai/144f5cec-7d0c-40eb-99b9-dd6f89fa7a91","title":"Chief Engineer, Autonomy (R4614)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":[],"advertised_pay":"$200,319 – $300,479","compensation":[{"min":200319,"max":300479,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $200,319 – $300,479 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS).","As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms.","This role is part of the Hivemind Solutions organization and leads a team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.","WHAT YOU'LL DO:","Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft","Lead a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures.","Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables","Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts.","REQUIRED QUALIFICATIONS:","BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree","10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.)","7+ years of delivering software into production/certifiable environments with high-reliability","Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning)","Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.)","Understanding of software development processes and how to effectively deploy software","Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation","Demonstrate problem solving skills by applying a scientific technical approach","Customer-facing engineering leader supporting both defense and internally funded development programs","Contribute to government contract proposal writing","Excellent communication skills, both written and verbal","Excellent leadership skills, driving a team of 6-20 engineers","Employer-disclosed pay range: $200,319 – $300,479 USD per year.","#LI-DS5","#LF","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-06-10T21:16:42.312Z","date_posted":null,"valid_through":null},{"id":"shieldai-1b05ba43-1659-42d9-89c5-91e204da8d1f","url":"https://roboticjobs.ai/jobs/shieldai-1b05ba43-1659-42d9-89c5-91e204da8d1f","employer_url":"https://jobs.lever.co/shieldai/1b05ba43-1659-42d9-89c5-91e204da8d1f","title":"Staff Software Engineer, Autonomous Pilot Integration (R5395)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Mateo, California","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$234,240 – $351,360","compensation":[{"min":234240,"max":351360,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $234,240 – $351,360 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does.","At this level, you'll also serve as a technical leader within the team — leading a small feature crew or sub-program through design, integration, and delivery, mentoring mid-level engineers, and representing the team directly to capability teams and external partners.","Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.","What You'll Do:","Develop & Field Autonomy — Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces — and lead a small team through the design, development, and delivery of a major capability or sub-program.","Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.","Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); author and negotiate ICDs and interface contracts rather than just consume them","Mentorship & Growth— Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.","Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.","Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.","On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.","Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.","Continuous Improvement— Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.","C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive standards compliance for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS).","Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.","Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).","Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.","Experience with autonomy simulation environments for testing and validation.","Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.","Track record of mentoring engineers and growing technical talent.","Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.","Proficiency in Python for scripting, automation, and analysis.","Experience leading a feature crew, sub-program, or small team in an unmanned systems context.","Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices).","Track record of cross-team improvements (process, rigor, documentation, or developer experience).","Familiarity with autonomy stacks, motion planning, or vehicle-control integration.","Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.","Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.","Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).","Proficiency in developing automation tools for system testing, logging, and data parsing.","Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with C2 standards such as A-GRA, UCI, or OMS.","Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.","Employer-disclosed pay range: $234,240 – $351,360 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-01T15:36:24.294Z","date_posted":null,"valid_through":null},{"id":"shieldai-20ba2fbb-f9b3-4408-ac5c-7809a8446ea3","url":"https://roboticjobs.ai/jobs/shieldai-20ba2fbb-f9b3-4408-ac5c-7809a8446ea3","employer_url":"https://jobs.lever.co/shieldai/20ba2fbb-f9b3-4408-ac5c-7809a8446ea3","title":"Staff Software Engineer, Autonomy Applications Engineering","employer":{"id":"shieldai","name":"Shield AI"},"location":"New Delhi","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Senior Staff Software Engineer, Autonomy Applications Engineering will provide collaborate with customers to help them enable edge-AI and autonomy to platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration.","WHAT YOU'LL DO:","Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.","Develop AI & Autonomy software capabilities using Hivemind for unmanned platforms across air/sea/space.","Examples of Projects You will Work On:","Autonomous teaming drones.","Teaming between helicopters and drones.","Autonomy on Robodogs.","AI Pilots for Fighter Jets","and more that we aren’t allowed to publicly share!","Enable customers to integrate Hivemind autonomy to their vehicles/platforms.","Debug software/API integration issues.","Deploy Hivemind AI infrastructure at customer sites.","Provide technical training to customers for their autonomy development efforts.","Collaborate with the product and engineering teams to address customer feedback and improve products.","Develop and maintain technical documentation.","Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel).","REQUIRED QUALIFICATIONS:","Bachelor’s degree in Engineering, Computer Science, or a related field.","7+ years of experience of industry experience or 4+ years of experience plus a master's degree.","Ability to travel and stay deployed at customer sites across India.","3+ years of experience in an integration/applications engineering role.","2+ years of experience working in a startup environment.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Intermediate proficiency in writing Python code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Ability converse fluently in Hindi and English.","PREFERRED QUALIFICATIONS:","Experience in the defense aviation or robotics industry.","Experience building and running a small enterprise software applications/solutions engineering team.","Ability to travel to USA for up to 3 months at a time for training.","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-07-08T22:56:09.134Z","date_posted":null,"valid_through":null},{"id":"shieldai-2394368a-67ff-441c-83c3-e998446327e7","url":"https://roboticjobs.ai/jobs/shieldai-2394368a-67ff-441c-83c3-e998446327e7","employer_url":"https://jobs.lever.co/shieldai/2394368a-67ff-441c-83c3-e998446327e7","title":"Applications Engineer, Autonomy (open level)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":["C++","Python","Rust"],"advertised_pay":"$152000-$228,000","compensation":[{"min":152000,"max":318000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $152,000 – $318,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments. This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site.","This is primarily a Senior-level role, and we’re typically looking for candidates with several years of relevant industry experience. That said, we will consider exceptional mid-level engineers who demonstrate strong technical fundamentals, a hands-on mindset, and a track record of taking initiative in dynamic, customer-driven environments","In this role, you will work closely with customers to understand their requirements, provide technical expertise during deployment, and ensure successful integration of our AI and autonomy products. You’ll also collaborate internally with engineering teams, with opportunities to grow into technical leadership over time.","You Should Apply If:","You’re excited about a travel-heavy role and enjoy being on-site with customers, including international and multi-week engagements","You’re a strong technical contributor (or early in your career and eager to grow) who takes initiative and figures things out","You enjoy problem solving, building relationships, and working at the intersection of engineering and real-world deployment","You’re passionate about autonomy, robotics, or aerospace","You Should Not Apply If:","You prefer minimal travel or want to work primarily from a single location","You want to do 100% R&D and don’t enjoy customer interactions","You’ve never programmed in C, C++, or Rust","What you'll do:","Deploy with customers on site globally ( up to 25% travel) to support software integration and development activities.","Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.","Provide technical support and training to customers.","Develop AI & Autonomy applications using the Shield AI enterprise software development kit","Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions","Assist in post-sales deployment and integration of Shield AI enterprise software products.","Develop and maintain technical documentation and training materials.","Help customers debug software/API integration issues.","Collaborate with the product engineering team to address customer feedback and improve products.","Required qualifications:","Bachelor’s degree in Engineering, Computer Science, or a related field.","5+ years of experience of industry experience","2+ years of experience in an integration/applications engineering role","2+ years of experience working in a startup environment.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Intermediate proficiency in writing Python code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Preferred qualifications:","Experience in the defense aviation or robotics industry.","Experience building and running a small enterprise software applications/solutions engineering team.","Advanced technical degree, especially in robotics or autonomy related fields","Senior Engineer: $152000-$228,000","Staff Engineer: $181,000-$272,000","Senior Staff Engineer: $212,000-$318,000","Employer-disclosed pay range: $152,000 – $318,000 USD per year.","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2024-07-15T19:23:56.487Z","date_posted":null,"valid_through":null},{"id":"shieldai-25011392-094f-482c-b007-f307fb8c4f9f","url":"https://roboticjobs.ai/jobs/shieldai-25011392-094f-482c-b007-f307fb8c4f9f","employer_url":"https://jobs.lever.co/shieldai/25011392-094f-482c-b007-f307fb8c4f9f","title":"Senior Staff Engineer, Software - Autonomous Aircraft Integration (R4983)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$220,800 – $331,200","compensation":[{"min":220800,"max":331200,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $220,800 – $331,200 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.","Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Employer-disclosed pay range: $220,800 – $331,200 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-08-15T18:00:03.213Z","date_posted":null,"valid_through":null},{"id":"shieldai-2973db9d-8bd9-4f89-af10-a6c0a7fead77","url":"https://roboticjobs.ai/jobs/shieldai-2973db9d-8bd9-4f89-af10-a6c0a7fead77","employer_url":"https://jobs.lever.co/shieldai/2973db9d-8bd9-4f89-af10-a6c0a7fead77","title":"Staff Software Engineer, Autonomous Pilot Integration –  Weapons (R5400)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$195,200 – $292,800","compensation":[{"min":195200,"max":292800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,200 – $292,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, fleet operations, and operational deployment. You'll own some of the team's most challenging technical problems while driving technical direction across multiple subsystems and collaborating closely with the Autonomy Capabilities team, Perception, feature crews, autopilot vendors, C2 providers, and customer partners. You'll combine deep technical expertise with systems thinking to deliver scalable autonomy solutions for fleet-scale operations.","What You'll Do:","Lead Technical Delivery – Lead the technical execution of major autonomy capabilities; drive technical direction, coordinate cross-functional execution, mentor engineers, and help deliver complex integration efforts.","Develop & Field Autonomy – Develop and integrate autonomy software solutions onto launched effects platforms, including autopilot integration, payload systems, executive autonomy, multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments.","Collaboration Across Teams & Partners – Serve as a primary technical interface with the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, and customer/contractor partners; influence interface definitions and coordinate integration across organizations.","Design & Documentation – Lead design reviews, contribute to architecture decisions and ICDs, improve engineering rigor, and establish repeatable integration practices across multiple efforts.","Pre-deployment Preparation – Drive mission readiness for Capability Releases and fleet-scale deployments by coordinating validation, release planning, hardware/software compatibility, and operational readiness.","On-site Test & Mission Support – Provide technical leadership during flight tests, customer demonstrations, range exercises, and operational deployments while troubleshooting complex issues under time-critical constraints.","Hardware/Software Debugging – Lead root-cause analysis across autonomy software, payload computers, embedded systems, networking, and platform interfaces using simulation, lab testing, and field data.","Mission Data & Debrief Support – Analyze mission data, reproduce issues, coordinate corrective actions across engineering teams, and drive continuous improvements into future releases.","Continuous Improvement – Build tools, automation, and engineering processes that improve deployment velocity, mission reliability, developer productivity, and integration efficiency.","C2 Interoperability & Standards – Drive implementation of command-and-control interfaces and support compliance with open-systems standards while coordinating closely with external integration partners.","Travel Requirement– Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent practical experience.","Typically requires 7+ years of relevant experience.","Expert C++ and Linux development experience.","Experience leading complex autonomy or embedded software integration efforts.","Experience influencing technical direction across multiple engineering teams.","Experience supporting operational test events or customer deployments.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience with launched effects or distributed autonomous systems.","Experience integrating PX4, ArduPilot, or custom autopilot solutions.","Experience with fleet-scale autonomous operations.","Experience with disconnected or air-gapped deployments.","Experience mentoring engineers and leading technical initiatives.","Experience with UCI, OMS, MOSA, WOSA, or TAK/CoT.","Employer-disclosed pay range: $195,200 – $292,800 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:50:41.272Z","date_posted":null,"valid_through":null},{"id":"shieldai-2cfe6692-a266-4d27-8832-ef652fa57ee4","url":"https://roboticjobs.ai/jobs/shieldai-2cfe6692-a266-4d27-8832-ef652fa57ee4","employer_url":"https://jobs.lever.co/shieldai/2cfe6692-a266-4d27-8832-ef652fa57ee4","title":"Computer Vision Engineer (C++) (R4633)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++","SLAM"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","We’re looking for a Computer Vision Engineer (C++) to join our team in Port Melbourne, contributing to the development of innovative, real-time perception solutions for next-gen autonomous platforms. Whether you're a recent PhD graduate or a seasoned commercial developer, this is an opportunity to help solve real-world defence challenges using cutting-edge vision and AI technology.","You’ll be part of a team developing custom algorithms - not just applying libraries - and will work alongside expert AI and deep learning engineers to integrate CV into real-time pipelines across a range of unmanned systems.","What You'll Do:","Design and implement novel computer vision algorithms from scratch, optimised for real-time performance.","Develop and maintain C++-based CV pipelines as part of autonomous mission systems.","Collaborate with a multidisciplinary team of AI, robotics, and optical engineers to deliver reliable edge solutions.","Support the integration of deep learning models into broader CV systems, working closely with AI experts.","Stay across current academic research and emerging techniques in computer vision and ML.","What You'll Bring:","Deep proficiency in C++ and comfortable working in high-performance real-time environments.","Strong experience writing custom computer vision algorithms, beyond just library use.","Solid understanding of computer vision, image processing, and machine learning principles.","Bonus Points For:","Experience in any of the following:","Object detection, target tracking, or 3D reconstruction.","SLAM, camera calibration, or behaviour analysis.","Automated video surveillance or other related real-time vision systems.","Familiarity with OpenCV and similar vision toolkits.","Exposure to deep learning for image classification, recognition, or sequence modelling.","Interest in combining deep learning and CV pipelines in real-time deployment scenarios.","Master’s or PhD in Computer Science, Engineering, or a related field.","Previous Defence experience is highly desirable.","Why Shield AI?","Build mission-critical vision and autonomy systems that make a real-world impact.","Collaborate with some of the best minds in AI, autonomy, and defence technology.","Hybrid role based in our Port Melbourne office.","Salary + equity for permanent roles, with a strong career development pathway.","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-01-14T08:43:13.988Z","date_posted":null,"valid_through":null},{"id":"shieldai-2dd71f90-62a3-4855-a528-cb3c740efc9a","url":"https://roboticjobs.ai/jobs/shieldai-2dd71f90-62a3-4855-a528-cb3c740efc9a","employer_url":"https://jobs.lever.co/shieldai/2dd71f90-62a3-4855-a528-cb3c740efc9a","title":"Senior Staff Engineer, Autonomy and Motion Planning (R5538)","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","This position on the Autonomy team in the UK will lead the delivery of autonomous behaviors into our products, acting as technical leads, senior individual contributors, and/or as team leads that are also hands-on contributors. We expect candidates to demonstrate unparalleled end-to-end outcome ownership, driving the architecting, design, delivery, support, and evolution of safe and effective mission autonomy software throughout the entire product lifecycle.","What you'll do:","Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision","Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios","Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development","Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios","Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing)","Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time","Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.)","Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership.","Travel to co-locate with end-users and/or other teams up to 20% of the time","Required qualifications:","BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Proficient in production-level C++ software development","7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management","Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment","Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity","Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment","Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution","Eligible to obtain and maintain an active U.S. Secret security clearance","Preferred qualifications:","Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready","Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations","Experience across a multitude of application areas, including but not limited to:","Collaborative mission planning, behavior planning, synchronized teaming","Automated red force vs blue force tactics","Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions","Weapons target assignment, Sensor target pairing, sensor-centric control laws","Collision avoidance, geofencing, and safety-monitoring","Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.)","Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation","Familiarity with practical aspects of navigation and communications systems","Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment","Familiarity with systems engineering methodologies","Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's)","#LI-LD2","#LE","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-06T19:18:50.350Z","date_posted":null,"valid_through":null},{"id":"shieldai-30d135cd-3193-4add-97b0-b228df883ecf","url":"https://roboticjobs.ai/jobs/shieldai-30d135cd-3193-4add-97b0-b228df883ecf","employer_url":"https://jobs.lever.co/shieldai/30d135cd-3193-4add-97b0-b228df883ecf","title":"Senior Software Engineer, Autonomous Pilot Integration (R5423)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Mateo, California","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$195,840 – $293,760","compensation":[{"min":195840,"max":293760,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,840 – $293,760 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.","Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or completion of a Master’s or PhD program with internship or equivalent practical experience preferred; or equivalent professional experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Employer-disclosed pay range: $195,840 – $293,760 USD per year.","#LI-ED1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-19T18:25:44.820Z","date_posted":null,"valid_through":null},{"id":"shieldai-3587ad7b-e57a-4dea-8e14-db52d1808f40","url":"https://roboticjobs.ai/jobs/shieldai-3587ad7b-e57a-4dea-8e14-db52d1808f40","employer_url":"https://jobs.lever.co/shieldai/3587ad7b-e57a-4dea-8e14-db52d1808f40","title":"Senior Software Engineer, Perception (R5420)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$163,200 – $244,800","compensation":[{"min":163200,"max":244800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $163,200 – $244,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.","In this role, you'll develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments.","What You'll Do:","Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems.","Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks.","Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks.","Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments.","Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability.","Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems.","Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements.","Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery.","Required Qualifications:","Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.","Prioficiency of machine learning fundamentals.","Experience training an deploying ML models for computer vision in a production setting.","Strong understanding of 3D vision problems/algorithms.","Experience with machine learning frameworks such as PyTorch and TensorFlow.","Demonstrated expertise in deploying models using TensorRT and ONNX.","Proficiency in C++ and Python.","Strong analytical and problem-solving skills, with the ability to translate research into practical applications.","Ability to obtain a SECRET clearance","Preferred Qualifications:","Experience with developing autonomous systems for defense customers.","Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.","Contributions to open-source projects in machine learning or computer vision.","Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).","Employer-disclosed pay range: $163,200 – $244,800 USD per year.","#LI-DS-1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-28T21:29:16.492Z","date_posted":null,"valid_through":null},{"id":"shieldai-39dff357-4eda-48fb-97b7-2bc14f0908b6","url":"https://roboticjobs.ai/jobs/shieldai-39dff357-4eda-48fb-97b7-2bc14f0908b6","employer_url":"https://jobs.lever.co/shieldai/39dff357-4eda-48fb-97b7-2bc14f0908b6","title":"Senior Software Engineer, Autonomy Capabilities (R5339)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Mateo, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$195,840 – $293,760","compensation":[{"min":195840,"max":293760,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,840 – $293,760 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What You'll Do:","Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.","High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.","Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.","Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.","Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.","Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.","R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.","Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)","Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment","Ability to obtain a SECRET clearance or higher","Preferred Qualifications:","Experience in multiple aerospace domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Employer-disclosed pay range: $195,840 – $293,760 USD per year.","#LC","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-01T15:09:05.573Z","date_posted":null,"valid_through":null},{"id":"shieldai-3adca53e-1c7c-4036-9077-6320f0a69561","url":"https://roboticjobs.ai/jobs/shieldai-3adca53e-1c7c-4036-9077-6320f0a69561","employer_url":"https://jobs.lever.co/shieldai/3adca53e-1c7c-4036-9077-6320f0a69561","title":"Senior Software Engineer, Autonomous Pilot Integration – Expeditionary (R5208)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$163,200 – $244,800","compensation":[{"min":163200,"max":244800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $163,200 – $244,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers.","In this role, you'll develop new autonomy capabilities — including mission behaviors, platform-specific control (including VTOL transitions), multi-agent coordination, contingencies, and executive autonomy — and own major features from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live flight test. You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, feature crews, and customer stakeholders to deliver mission-ready autonomy software and solve complex integration challenges. As a senior engineer, you'll provide technical leadership across major capabilities, mentor teammates, influence architecture and integration strategy, and help drive successful field deployments for both mature and emerging expeditionary platforms.","This team has a strong fielded-operator culture — long-endurance ISR missions, customer-driven workflow iteration, and demanding live exercises across multiple U.S. and international services. It's a hands-on role for engineers who want to see their software operate on real aircraft and directly support operators in the field.","What You'll Do:","Develop & Field Autonomy – Develop and integrate autonomy software for V-BAT and X-BAT, including mission behaviors, platform-specific control, payload and sensor integration (e.g., ViDAR, EO/IR), multi-agent coordination, contingencies, and executive autonomy. Own major features from software-in-the-loop through live flight testing.","Aircraft Team Partnership – Collaborate closely with the Aircraft team to integrate autonomy capabilities, validate platform interfaces, coordinate hardware/software compatibility, and support release readiness.","Collaboration Across Teams & Partners – Partner with the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), feature crews, and customer stakeholders to deliver integrated mission capabilities.","Technical Leadership – Own significant features or subsystems, drive technical execution, mentor teammates, and contribute to design reviews and integration planning.","Pre-deployment Preparation – Build, configure, validate, and prepare mission-ready systems while ensuring software, hardware, and operator workflows are ready for deployment.","On-site Test & Mission Support – Support flight tests, customer demonstrations, operator training, and deployment events through system bring-up, troubleshooting, and mission execution.","Hardware/Software Debugging– Diagnose integration issues across autonomy software, payload computers, embedded systems, and platform interfaces using simulation and operational testing.","Mission Data & Continuous Improvement – Analyze mission data, drive root-cause analysis, and build tools and processes that improve integration efficiency and mission reliability.","C2 Interoperability & Standards – Implement and validate interfaces with GCS and command-and-control systems while supporting compliance with STANAG 4586, UCI, and OMS.","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent practical experience.","5+ years of relevant experience (or equivalent advanced degree experience).","Strong C++ development experience in real-time or embedded systems.","Experience with Linux-based development and embedded systems.","Experience integrating complex software systems and troubleshooting across hardware/software boundaries.","Experience supporting system integration, testing, or field events.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience with unmanned aircraft or autonomous systems.","Experience with autonomy software, robotics, or vehicle control.","Experience with payload or sensor integration.","Python, Docker, CMake/Conan, or CI/CD experience.","Experience with military test events or defense customers.","Employer-disclosed pay range: $163,200 – $244,800 USD per year.","#LI-ED1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:30:43.291Z","date_posted":null,"valid_through":null},{"id":"shieldai-3daaf9c5-164e-4a8e-abc9-b475a38522c3","url":"https://roboticjobs.ai/jobs/shieldai-3daaf9c5-164e-4a8e-abc9-b475a38522c3","employer_url":"https://jobs.lever.co/shieldai/3daaf9c5-164e-4a8e-abc9-b475a38522c3","title":"Senior Engineer, Software - Autonomous Aircraft Integration (R5200)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$160,000 – $240,000","compensation":[{"min":160000,"max":240000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $160,000 – $240,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.","Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Employer-disclosed pay range: $160,000 – $240,000 USD per year.","#LI-ED1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-08-15T18:02:31.607Z","date_posted":null,"valid_through":null},{"id":"shieldai-40edd151-badd-47c1-8647-203c4a4f30ec","url":"https://roboticjobs.ai/jobs/shieldai-40edd151-badd-47c1-8647-203c4a4f30ec","employer_url":"https://jobs.lever.co/shieldai/40edd151-badd-47c1-8647-203c4a4f30ec","title":"Senior Staff Software Engineer, Autonomy Capabilities (R4587)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Mateo, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$280,512 – $420,768","compensation":[{"min":280512,"max":420768,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $280,512 – $420,768 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What you'll do:","Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.","High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.","Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.","Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.","Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.","Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.","R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.","Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.","Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience applying ML/RL techniques in autonomy pipelines.","Background in collaborative behaviors, swarm robotics, or distributed decision-making.","Familiarity with tactical behaviors for unmanned systems in DoD or government programs.","Work on behaviors applicable across air, ground, and maritime vehicles.","Hands-on experience supporting flight demos or live exercises.","Experience with UCI and OMS Standards","Employer-disclosed pay range: $280,512 – $420,768 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-01T15:47:04.963Z","date_posted":null,"valid_through":null},{"id":"shieldai-416d47e8-51e2-496c-a200-7e4dd0735553","url":"https://roboticjobs.ai/jobs/shieldai-416d47e8-51e2-496c-a200-7e4dd0735553","employer_url":"https://jobs.lever.co/shieldai/416d47e8-51e2-496c-a200-7e4dd0735553","title":"Manager of Engineering, Autonomy Capabilities (R5412)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$236,160 – $354,240","compensation":[{"min":236160,"max":354240,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $236,160 – $354,240 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities team develops the core functionality used to drive autonomous decision making for single- and multi-agent teams of platforms in pursuit of mission objectives. The team serves as a central technical discipline within Shield AI, driving consistent approaches across business portfolios while operating at every level of the command-and-control hierarchy, from advanced control laws and motion planning to tactical behaviors and multi-agent coordination. Our work spans a wide range of mission sets, platform types, and operational domains, including air, sea, and space.","The team combines strong technical fundamentals, including vehicle kinematics and dynamics, trajectory design, optimization, information fusion, and efficient algorithms, with the software engineering and integration rigor required to field these capabilities on real-world systems. We build autonomy that operates reliably within complex integration environments and delivers differentiated mission capabilities to U.S. and international defense customers.","Your team will build autonomy solutions for small, often air- or ground-launched platforms that operate individually or as part of collaborative multi-agent fleets, frequently in disconnected or air-gapped environments. The capabilities your team develops will span motion planning, tactical behaviors, track fusion, weapons-target assignment, and perception-aware decision-making.","You will own the team’s technical delivery, organizational health, and growth. A core part of the role is building and developing the team by hiring strong engineers, mentoring them through complex technical challenges, and creating opportunities for continued growth. You will remain technically engaged, helping define system architecture, guiding key design decisions, contributing directly where it best serves the team, and ensuring solutions are delivered from rapid prototyping through software-in-the-loop, hardware-in-the-loop, and live test exercises. Success in this role requires a leader who can balance technical depth with people leadership, navigate ambiguity across multiple programs, and translate evolving customer needs into autonomy capabilities that can be integrated, validated, and fielded.","What You'll Do:","Lead and Grow the Team – Manage a team of autonomy engineers, typically 5–10 people. Own performance, growth, leveling, engagement, and delivery while providing regular coaching, feedback, and technical mentorship.","Build the Team – Identify the skills needed within your area, partner closely with recruiting, conduct interviews, maintain a high hiring bar, and help close and onboard strong candidates.","Own Technical Delivery– Lead autonomy capabilities from initial design through integration, validation, and field deployment. Translate program objectives into clear technical priorities, execution plans, and ownership across the team.","Set Technical Direction – Define technical approaches and architectures for mission autonomy, balancing reuse of existing Shield AI capabilities with new development required for specific platforms and missions.","Develop Tactical Autonomy – Guide the development of motion planning, tactical behaviors, multi-agent coordination, track fusion, perception-aware decision-making, and weapons- or sensor-target assignment for platforms operating in complex and communications-constrained environments.","Remain Technically Engaged– Stay close to the code and contribute directly where it provides the most value, including prototyping capabilities, reviewing critical designs, investigating difficult problems, and supporting key delivery milestones. This is a manager role, not a managing-only role.","Drive Engineering and Integration Rigor – Ensure the team develops high-performance, well-tested software with clear interfaces and the reliability required for operational deployment. Lead design reviews and strengthen development, testing, and integration practices.","Navigate Ambiguity and Changing Priorities – Make sound technical, staffing, and sequencing decisions when requirements are incomplete or program priorities shift. Communicate changes clearly and protect the team’s ability to execute.","Partner Across Teams and With Customers – Collaborate with Perception, Platform Integration, Simulation, Hardware, Flight Test, and Program teams, as well as U.S. and international defense customers, to shape requirements, resolve technical tradeoffs, and successfully integrate autonomy onto real-world platforms.","Lead Testing and Continuous Improvement– Own validation across software-in-the-loop, hardware-in-the-loop, and live test environments. Use mission data and test results to diagnose failures, improve capabilities, and inform the team’s technical roadmap.","Travel Requirement – Members of this team typically travel approximately 10–15% of the year to other Shield AI offices, customer sites, integration events, flight tests, and demonstrations.","Required Qualifications:","BS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field with a minimum of 7 years of relevant experience; or 5 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience.","Experience leading and developing engineers as a people manager, team lead, feature lead, or similar technical leadership role, including mentoring, providing feedback, and coordinating team delivery.","Track record of leading a technical team or major capability from initial design through integration, validation, and field delivery.","Significant experience with robotics or autonomous systems, including areas such as motion planning, tactical behaviors, decision-making, controls, or multi-agent coordination.","Strong proficiency in C++, with experience developing production-quality software for real-time, robotics, or autonomy systems.","Experience with unmanned systems, autonomy simulation environments, and software- or hardware-in-the-loop testing.","Strong systems-level problem-solving, communication, and cross-functional collaboration skills.","Ability to obtain and maintain a U.S. SECRET security clearance.","Preferred Qualifications:","Direct people-management experience, including responsibility for performance management, hiring, feedback, and employee development.","Experience developing tactical autonomy for weapons, strike, collaborative combat aircraft, launched effects, or related defense applications.","Experience with multi-agent coordination, distributed decision-making, trajectory optimization, track fusion, or weapons- and sensor-target assignment.","Hands-on experience integrating autonomy onto unmanned platforms and supporting flight tests, demonstrations, or field exercises.","Experience developing capabilities for disconnected, communications-denied, or air-gapped environments.","Experience authoring interface-control documents or working with UCI, OMS, or similar defense interoperability standards.","Experience partnering directly with DoD or international defense customers.","Employer-disclosed pay range: $236,160 – $354,240 USD per year.","#LD","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-16T15:42:31.012Z","date_posted":null,"valid_through":null},{"id":"shieldai-47fdba45-27ab-4534-9fe3-3d498eb12ad7","url":"https://roboticjobs.ai/jobs/shieldai-47fdba45-27ab-4534-9fe3-3d498eb12ad7","employer_url":"https://jobs.lever.co/shieldai/47fdba45-27ab-4534-9fe3-3d498eb12ad7","title":"Senior Engineer, Autonomy (R5685)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI is a venture-backed defence technology company building intelligent autonomous systems for aircraft. Our mission is to protect service members and civilians through AI and autonomy.","We’re on the lookout for an experienced Staff Engineer, Autonomy to join our Hivemind Solutions team and help design, build, and deploy real-world autonomous capabilities for uncrewed systems. This is a hands-on engineering role, blending software development with robotics, perception, and path planning. You’ll be joining a high-performing team shaping the future of AI pilots for solving real-world problems.","If you’re a capable C++ developer with a passion for robotics and autonomy, this is your chance to make a real impact.","What you'll do:","As an Autonomy Engineer, you’ll work at the intersection of artificial intelligence, task & motion planning and controls.","Design and implement autonomous behaviours for uncrewed aircraft.","Work with real sensor data and build robust sensor fusion solutions.","Develop and test autonomy systems in high-fidelity software and hardware in-the-loop simulations.","Integrate Shield AI autonomy products together with third-party aircraft and systems.","Collaborate across AI, robotics, and systems engineering teams to deliver integrated solutions.","Contribute to architecture, code quality, design reviews and best practices.","Lead and Mentor junior engineers","Required qualifications:","A tertiary level qualification in Computer Science, Mechatronics, Software Engineering, Aerospace, Robotics or a related field","Significant professional experience in robotics, autonomy, perception or aerospace systems","Strong experience in modern C++","Significant experience in building and delivering reliable software systems, ideally in fast-paced environments","Preferred qualifications:","Prior experience with uncrewed systems, especially in the air domain","Defence industry experience","Significant experience in one or more of the following domains:","State Estimation","Real-Time Systems","Guidance, Navigation and Control","Path Planning","Eligibility","Our mission is to protect service members and civilians with intelligent systems, and this role supports that mission directly by working with Australian Government classified material. It requires an Australian Government security clearance at [Baseline / NV1 / NV2] level.","You don't need to hold a clearance already, we will sponsor your clearance and support you, because mission first, people always. Australian citizenship is a mandatory requirement for this role. It is a condition of clearance eligibility set by the Australian Government, eligibility details are here: https://www.agsva.gov.au/applicants/eligibility-suitability","#LC","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-08T20:31:26.725Z","date_posted":null,"valid_through":null},{"id":"shieldai-4cdda6f8-a132-431b-910e-8dfc1d1fec24","url":"https://roboticjobs.ai/jobs/shieldai-4cdda6f8-a132-431b-910e-8dfc1d1fec24","employer_url":"https://jobs.lever.co/shieldai/4cdda6f8-a132-431b-910e-8dfc1d1fec24","title":"Staff Software Engineer, Autonomous Pilot Integration (R5208)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$195,200 – $292,800","compensation":[{"min":195200,"max":292800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,200 – $292,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does.","At this level, you'll also serve as a technical leader within the team — leading a small feature crew or sub-program through design, integration, and delivery, mentoring mid-level engineers, and representing the team directly to capability teams and external partners.","Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.","What You'll Do:","Develop & Field Autonomy — Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces — and lead a small team through the design, development, and delivery of a major capability or sub-program.","Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.","Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); author and negotiate ICDs and interface contracts rather than just consume them","Mentorship & Growth— Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.","Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.","Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.","On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.","Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.","Continuous Improvement— Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.","C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive standards compliance for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS).","Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.","Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).","Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.","Experience with autonomy simulation environments for testing and validation.","Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.","Track record of mentoring engineers and growing technical talent.","Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.","Proficiency in Python for scripting, automation, and analysis.","Experience leading a feature crew, sub-program, or small team in an unmanned systems context.","Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices).","Track record of cross-team improvements (process, rigor, documentation, or developer experience).","Familiarity with autonomy stacks, motion planning, or vehicle-control integration.","Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.","Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.","Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).","Proficiency in developing automation tools for system testing, logging, and data parsing.","Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with C2 standards such as A-GRA, UCI, or OMS.","Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.","Employer-disclosed pay range: $195,200 – $292,800 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-08T15:17:30.951Z","date_posted":null,"valid_through":null},{"id":"shieldai-4d2b7916-83f7-4036-9ee8-3c32f03b5990","url":"https://roboticjobs.ai/jobs/shieldai-4d2b7916-83f7-4036-9ee8-3c32f03b5990","employer_url":"https://jobs.lever.co/shieldai/4d2b7916-83f7-4036-9ee8-3c32f03b5990","title":"Senior Staff Engineer, Autonomy Integration Lead (R6159)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$230,000 – $350,000","compensation":[{"min":230000,"max":350000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $230,000 – $350,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","The Hivemind Pilot group in Hivemind Enterprise org builds algorithms and production platform-agnostic AI/autonomy software that enable teams of edge systems to perceive, reason and act toward achieving mission objectives in complex and dynamic mission environments. Our work sits at the intersection of artificial intelligence, robotics, and real-time autonomous systems.","As an Autonomy Integration Lead, you will be responsible for bringing together various autonomy components into integrated reference implementations that enable targeted concept of operations, and taking these through software-in-loop and hardware-in-loop verification. You will draw on your breadth in autonomy to ensure harmonious execution of all autonomy components for effective mission enablement.","What you'll do:","Build and maintain stable Pilot integrated implementations, reference configurations, reusable test fixtures, and representative end-to-end examples.","Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility.","Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components.","Develop and maintain glue layer between mission autonomy software and platform software for easy integration and deployment of the stack.","Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required.","Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging.","Work with the Flight Operations team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward.","Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training.","Projects you might work on:","Drive strategy and implementation diverse set of autonomy reference integrations to serve various representative missions.","Develop workflows and tooling to enable seamless deployment of autonomy software on edge devices.","Develop documentation to assist a user of the product to easily pull together custom autonomy integrations","Preferred qualifications:","Bachelor's degree in Computer Science, Robotics, Artificial Intelligence, or equivalent practical experience.","Demonstrated experience through professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for perception, planning, robotics, autonomous systems, or a closely related algorithmic domain.","Experience writing and debugging modern C++, including safe use of common concurrency patterns and the ability to diagnose issues such as data races, deadlocks, and lifetime errors.","Working experience with Python for prototyping, analysis, automation, or testing.","Strong software engineering fundamentals, including algorithms, data structures, testing, debugging, and maintainable software design.","Practical experience developing and debugging software on Linux.","Practical experience working with build / dependency management systems such as Conan or Nix.","Preferred qualifications:","Master’s degree in AI. Computer Science, Robotics or similar.","Breadth of experience across the autonomy stack (Perception, Localization and Planning).","Experience with multi-agent autonomy","Experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making.","Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems.","Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems.","Employer-disclosed pay range: $230,000 – $350,000 USD per year.","#LI-KC3","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-03T03:38:01.125Z","date_posted":null,"valid_through":null},{"id":"shieldai-513eb618-2704-40e0-bbcd-5f946b60d1b2","url":"https://roboticjobs.ai/jobs/shieldai-513eb618-2704-40e0-bbcd-5f946b60d1b2","employer_url":"https://jobs.lever.co/shieldai/513eb618-2704-40e0-bbcd-5f946b60d1b2","title":"Senior Engineer, Autonomy Software Integration & Test (R5606)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Kyiv","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI’s mission is to protect service members and civilians with intelligent systems. We are seeking an Autonomy Software Integration & Test Engineer to support development, integration, testing, and deployment of autonomous systems in Ukraine.","This role is ideal for a hands-on engineer who enjoys working across software, hardware, aircraft systems, and flight operations in fast-paced field environments. The position combines autonomy software development, system integration, and real-world flight testing across unmanned and autonomous platforms.","The ideal candidate is comfortable writing and debugging software, integrating autonomy systems onto fixed-wing, multirotor, and other unmanned or autonomous systems, troubleshooting issues in both lab and field environments, and supporting live flight operations under evolving operational conditions. This role requires an engineer who can move fluidly between software development, aircraft integration, flight testing, demonstrations, and operational troubleshooting in a rapidly growing startup environment.","The ideal candidate demonstrates strong ownership, a bias toward action, and the ability to solve complex problems across software, hardware, and flight operations in rapidly evolving environments.","This role will primarily support operations in the Kyiv region, with occasional travel to other locations within Ukraine for demonstrations, testing, and operational support activities.","What you'll do:","Develop and contribute production-quality software features and capabilities for autonomous systems","Design, implement, debug, and maintain software components supporting autonomy, mission execution, system integration, and flight operations","Integrate autonomy software onto fixed-wing, multirotor, and other unmanned or autonomous systems","Develop internal tools, automation, telemetry analysis pipelines, and test infrastructure in C++ and Python","Support software bring-up, system configuration, and mission readiness for flight operations","Debug and troubleshoot issues across autonomy software, onboard compute, radios, networking, sensors, flight controllers, and mission systems","Support simulation, SIL, HIL, VIL, ground testing, and live flight test activities","Support field demonstrations and operational test events, including pre-flight setup, system validation, troubleshooting, and post-flight analysis","Operate and troubleshoot Ground Control Stations (GCS) and mission support systems","Capture, analyze, and review flight and system data to support root cause analysis and system improvements","Work closely with autonomy, systems, hardware, and flight test teams to rapidly integrate and validate new capabilities","Support rapid software iteration and operational testing in dynamic startup and field environments","Contribute to operational documentation, test procedures, integration workflows, and deployment readiness activities","Travel to test sites and support field operations as required","Required qualifications:","Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related field, or equivalent practical experience","3+ years of experience developing and integrating software for robotics, autonomy, aerospace, embedded systems, or related technical fields","Strong software engineering experience in C++ and Python, including development, debugging, and system integration","Experience contributing to complex software systems in robotics, autonomy, aerospace, embedded systems, or related domains","Experience working with Linux-based systems and development environments","Hands-on experience integrating and troubleshooting hardware and software systems","Experience supporting field testing, flight testing, demonstrations, or operational exercises","Familiarity with MAVLink, PX4, ArduPilot, QGroundControl, or related unmanned systems technologies","Experience debugging distributed or cross-disciplinary systems involving software, networking, sensors, radios, onboard compute, and mission systems","Strong sense of ownership and ability to operate independently in fast-paced environments","Strong problem-solving mindset and willingness to work across disciplines","Ability to travel within Ukraine as required","Preferred qualifications:","Experience supporting autonomous aircraft or unmanned systems","Experience with SIL, HIL, VIL, simulation, or flight test environments","Familiarity with ROS, DDS, embedded systems, or real-time systems","Experience with RF communications, datalinks, and networking systems","Experience supporting live flight demonstrations or operational deployments","Familiarity with flight controllers, avionics systems, and aircraft integration","Experience building internal tools for testing, automation, telemetry analysis, or operational support","Background in defense, robotics, aerospace, or autonomous systems","Ukrainian and English language proficiency","Experience operating in fast-paced and dynamic field environments","#LI-LD2","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-26T14:55:06.977Z","date_posted":null,"valid_through":null},{"id":"shieldai-52ea86e4-8495-4847-b26a-69c7e5b4c574","url":"https://roboticjobs.ai/jobs/shieldai-52ea86e4-8495-4847-b26a-69c7e5b4c574","employer_url":"https://jobs.lever.co/shieldai/52ea86e4-8495-4847-b26a-69c7e5b4c574","title":"Senior Software Engineer, Autonomous Pilot Integration – Weapons (R5427)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$163,200 – $244,800","compensation":[{"min":163200,"max":244800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $163,200 – $244,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll develop and integrate autonomy capabilities for launched effects platforms, owning major features from design through operational deployment. You'll work closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer partners to deliver mission-ready autonomy software. This is a hands-on role for engineers who enjoy solving challenging integration problems and seeing their software operate in demanding real-world environments.","What You'll Do:","Develop & Field Autonomy – Develop and integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and deployment to disconnected or air-gapped environments. Own major features from software-in-the-loop through live flight testing and operational deployment.","Technical Leadership – Own major features or subsystems; drive technical execution, contribute to design decisions, mentor teammates, and help deliver complex autonomy capabilities.","Collaboration Across Teams & Partners – Partner closely with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners to deliver integrated autonomy capabilities.","Design & Documentation – Contribute to design reviews, ICDs, integration planning, and post-mortems while helping improve engineering rigor and cross-team execution.","Pre-deployment Preparation – Build, configure, and validate mission-ready systems for Capability Releases and fleet-scale deployments; coordinate hardware/software compatibility, mission readiness, and release readiness across engineering teams.","On-site Test & Mission Support – Travel to test sites, customer exercises, and live demonstrations to support flight operations, system bring-up, troubleshooting, and mission execution under operational timelines.","Hardware/Software Debugging – Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces using simulation, laboratory testing, and operational data.","Mission Data & Debrief Support – Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to rapidly drive improvements into future releases.","Continuous Improvement – Develop tools and processes that improve integration timelines, testing reliability, deployment efficiency, and mission readiness.","C2 Interoperability & Standards – Implement and validate interfaces with C2 providers while supporting compliance with common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent practical experience.","Typically requires 5+ years of relevant experience (or equivalent advanced degree experience).","Strong proficiency in C++ and experience developing or integrating real-time or embedded systems.","Experience with Linux-based development and embedded systems.","Experience integrating complex software and hardware systems.","Experience supporting system integration, testing, or field events.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience with launched effects, unmanned systems, or autonomous platforms.","Experience with PX4, ArduPilot, or comparable autopilot stacks.","Experience with multi-agent autonomy.","Python, Docker, CMake/Conan, or CI/CD experience.","Experience supporting military field exercises or defense customers.","Employer-disclosed pay range: $163,200 – $244,800 USD per year.","#LI-ED1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:47:21.316Z","date_posted":null,"valid_through":null},{"id":"shieldai-57d675b0-4e5e-450e-bada-8df00cf0c2bf","url":"https://roboticjobs.ai/jobs/shieldai-57d675b0-4e5e-450e-bada-8df00cf0c2bf","employer_url":"https://jobs.lever.co/shieldai/57d675b0-4e5e-450e-bada-8df00cf0c2bf","title":"Senior Software Engineer, Autonomy Integration (R6035)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$160,000 – $249,998","compensation":[{"min":160000,"max":249998,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $160,000 – $249,998 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","We are hiring a Software Engineer, Autonomy Integration, who will be embedded in the Planning and Controls team and work day to day with Pilot's cross-functional Integration team. In this hands-on software role, you will build durable integration capability: reliable environments, representative end-to-end tests, diagnosable failures, and software that is ready for hardware and flight testing. You will draw on your experience in planning, controls, or autonomy decision-making and your systems integration skills to work across domain boundaries.","The Pilot Integration team provides stable reference integrations that component teams can use to add new capabilities and prove that they work as part of the larger autonomy stack. It builds and maintains the environments where Hivemind Pilot's autonomy capabilities come together. The team's work spans planning and controls, perception, simulation, vehicle interfaces, deployment, and system-level testing.","We are hiring across multiple experience levels. Depending on experience, engineers may begin with well-defined integrations and tests or independently own end-to-end workflows and ambiguous cross-system investigations.","What you'll do:","Build and maintain stable Pilot integration environments, reference configurations, reusable test fixtures, and representative end-to-end examples.","Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility.","Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components.","Integrate and debug production software across planning and controls, simulation, vehicle interfaces, and other parts of the autonomy stack.","Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required.","Develop integration-oriented bridge blocks and adaptors for common vehicle and hardware interfaces, along with the tests and documentation needed to maintain them.","Improve repeatability with focused integration tooling for configuration validation, deployment, diagnostics, log collection, test orchestration, and failure triage.","Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging.","Work with the flight-test team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward.","Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training.","Surface brittle interfaces and recurring integration problems so that the responsible Pilot teams can make informed architectural decisions.","Improve integration quality by reducing integration defects and increasing end-to-end test readiness.","Required qualifications:","Bachelor's degree in a field such as computer science or robotics, or equivalent practical experience.","Experience developing or integrating planning, controls, or autonomy decision-making software.","Strong production software engineering skills in modern C++ and Python.","Hands-on experience integrating software with robotic or autonomous hardware, including deployment, interfaces, telemetry, and lab or field debugging.","Experience with software-in-the-loop or hardware-in-the-loop testing and automated system-level tests.","Experience developing and debugging software on Linux.","Strong systems-debugging skills, including the ability to reason across configuration, software, network, timing, and hardware boundaries.","Ability to write maintainable tests and tools for distributed or real-time systems.","Ability to communicate technical findings clearly and work effectively with engineers from several disciplines.","Ability to travel periodically and support lab, field, or flight-test events that may occur outside normal working hours.","Preferred qualifications:","Experience integrating across several autonomy domains, such as perception, state estimation, planning, controls, simulation, communications, or vehicle interfaces.","Experience supporting aircraft integration or flight-test readiness.","Experience with robotics middleware, vehicle protocols such as MAVLink, or integration adaptors.","Experience designing repeatable, diagnosable end-to-end test environments for complex autonomous systems.","Experience with configuration-driven systems, dependency compatibility, observability, or automated test orchestration.","Experience delivering software for fielded, real-time, safety-critical, or resource-constrained systems.","A record of leading ambiguous technical investigations or mentoring engineers through complex integration work.","Employer-disclosed pay range: $160,000 – $249,998 USD per year.","#LI-KC3","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-03T04:06:22.825Z","date_posted":null,"valid_through":null},{"id":"shieldai-585fcac1-a6ad-46ab-8868-4e073ac292d8","url":"https://roboticjobs.ai/jobs/shieldai-585fcac1-a6ad-46ab-8868-4e073ac292d8","employer_url":"https://jobs.lever.co/shieldai/585fcac1-a6ad-46ab-8868-4e073ac292d8","title":"Staff Engineer, Autonomy (R5681)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI is a venture-backed defence technology company building intelligent autonomous systems for aircraft. Our mission is to protect service members and civilians through AI and autonomy.","We’re on the lookout for an experienced Staff Engineer, Autonomy to join our Hivemind Solutions team and help design, build, and deploy real-world autonomous capabilities for uncrewed systems. This is a hands-on engineering role, blending software development with robotics, perception, and path planning. You’ll be joining a high-performing team shaping the future of AI pilots for solving real-world problems.","If you’re a capable C++ developer with a passion for robotics and autonomy, this is your chance to make a real impact.","What you'll do:","As a Staff Engineer, Autonomy, you’ll work at the intersection of artificial intelligence, task & motion planning and controls.","Design and implement autonomous behaviours for uncrewed aircraft.","Work with real sensor data and build robust sensor fusion solutions.","Develop and test autonomy systems in high-fidelity software and hardware in-the-loop simulations.","Integrate Shield AI autonomy products together with third-party aircraft and systems.","Collaborate across AI, robotics, and systems engineering teams to deliver integrated solutions.","Contribute to architecture, code quality, design reviews and best practices.","Lead and Mentor junior engineers","Required qualifications:","A tertiary level qualification in Computer Science, Mechatronics, Software Engineering, Aerospace, Robotics or a related field","Significant professional experience in robotics, autonomy, perception or aerospace systems","Strong experience in modern C++","Significant experience in building and delivering reliable software systems, ideally in fast-paced environments","Preferred qualifications:","Prior experience with uncrewed systems, especially in the air domain","Defence industry experience","Significant experience in one or more of the following domains:","State Estimation","Real-Time Systems","Guidance, Navigation and Control","Path Planning","Eligibility","Our mission is to protect service members and civilians with intelligent systems, and this role supports that mission directly by working with Australian Government classified material. It requires an Australian Government security clearance at [Baseline / NV1 / NV2] level.","You don't need to hold a clearance already, we will sponsor your clearance and support you, because mission first, people always. Australian citizenship is a mandatory requirement for this role. It is a condition of clearance eligibility set by the Australian Government, eligibility details are here: https://www.agsva.gov.au/applicants/eligibility-suitability","#LD","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-08T20:28:46.305Z","date_posted":null,"valid_through":null},{"id":"shieldai-6265ee65-8136-41b5-9279-97f9a4b1d2f6","url":"https://roboticjobs.ai/jobs/shieldai-6265ee65-8136-41b5-9279-97f9a4b1d2f6","employer_url":"https://jobs.lever.co/shieldai/6265ee65-8136-41b5-9279-97f9a4b1d2f6","title":"Staff Engineer, Software - Autonomous Aircraft Integration (R4983)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$182,720 – $274,080","compensation":[{"min":182720,"max":274080,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $182,720 – $274,080 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.","Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Employer-disclosed pay range: $182,720 – $274,080 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-08-15T18:01:35.829Z","date_posted":null,"valid_through":null},{"id":"shieldai-68a9b3cd-6c74-4cd7-a69f-36f1b92bb623","url":"https://roboticjobs.ai/jobs/shieldai-68a9b3cd-6c74-4cd7-a69f-36f1b92bb623","employer_url":"https://jobs.lever.co/shieldai/68a9b3cd-6c74-4cd7-a69f-36f1b92bb623","title":"Autonomy Engineer- Behavior and Motion Planning (R6007)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":["C++","Python","Linux"],"advertised_pay":"$135,000 – $300,000","compensation":[{"min":135000,"max":300000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $135,000 – $300,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","The Pilot team develops the algorithms and production software that enable intelligent systems to decide what to do and how to do it in uncertain, dynamic environments. Our work spans mission and task planning, motion planning, effects and action planning, and learned planning approaches. Depending on the team, you may work at the intersection of artificial intelligence, robotics, optimization, and real-time autonomous systems.","As a member of Behavior and Motion planning team, you will leverage your expertise in robotics to develop, deploy, and optimize path planning algorithms for autonomous systems that operate in complex, real-world environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions that advance the state of Hivemind SDK. You will also contribute to developing technical requirements, test plans, and validating the performance of algorithms.","We are hiring software engineers across multiple experience levels. The scope of the role will be calibrated to the candidate's experience, from implementing and validating well-defined planning components to owning major technical capabilities, shaping architecture and roadmaps, and mentoring other engineers.","What you'll do:","- Research, design, and implement state-of-the-art algorithms for autonomous trajectory planning","and control for single and multi-agent systems.","- Build reliable, robust, and maintainable software, primarily in modern C++, with Python used for","prototyping, analysis, automation, and testing.","- Develop comprehensive tests and evaluate planning stack performance in simulation and, where","applicable, on real hardware.","- Diagnose complex algorithmic and software failures, including concurrency, performance, and","integration issues.","- Collaborate with teams across the organization to refine requirements and deliver capabilities","that meet operational needs.\\","- Contribute to the design and architecture of scalable, maintainable autonomy and software","architecture.","- Take new product features from ideation to verification, to flight testing, and all the way to","maturation.","- Mentor and provide technical guidance to junior engineers.","- Stay current with the latest advancements in robotics, and apply them to solve challenging","problems.","Projects you might work on:","- Motion planning that produces safe, dynamically feasible behavior under real-world constraints.","- Collaborative and distributed motion planning for multi-agent scenarios.","- Effects and action planning that connects mission intent to executable autonomous behaviors.","- Incorporating various types of motion and dynamics models into the planning stack.","- Write software that allows the customer to interact with payloads safely.","- Planning approaches that incorporate vision-language models (VLMs), vision-language-action models","(VLAs), or other learned components.","- Validate the planning stack using software-, hardware-, and vehicle-in-the-loop simulation of","complex autonomous missions.","Required qualifications:","- Bachelor's degree in computer science, engineering, applied mathematics, operations research, or","a related field, or equivalent practical experience.","- Demonstrated experience through professional work, internships, research, or substantial projects","building, testing, and debugging nontrivial C++ software for optimization, motion planning,","robotics, autonomous systems, or a closely related algorithmic domain.","- Experience writing and debugging modern C++, including safe use of common concurrency patterns","and the ability to diagnose issues such as data races, deadlocks, and lifetime errors.","- Working experience with Python for prototyping, analysis, automation, or testing.","- Strong software engineering fundamentals, including algorithms, data structures, testing,","debugging, version control, CI/CD, and maintainable software design.","- Practical experience developing and debugging software on Linux.","- Ability to communicate technical decisions and collaborate effectively across disciplines.","- For senior-level candidates: Master's degree in computer science, Robotics, or a related field","and 5+ years of relevant professional experience or PhD with 4+ years of relevant experience.","Ways to stand out:","- Experience with behavior/motion planning for any platform (aerial, maritime, space, or ground),","working on decentralized or distributed planning for multi-agent systems, or trajectory","optimization.","- Experience working on multi-objective optimization problems.","- Experience using solvers such as Gurobi, OR-Tools, or CPLEX.","- Experience applying VLMs or VLAs to motion planning, reasoning, tool use, or autonomous decision-","making in safety critical systems.","- Experience delivering software for fielded, real-time, safety-critical, or resource-constrained","autonomous systems.","- Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling,","or distributed systems.","- Evidence of relevant technical depth through fielded systems, applied research, publications,","open-source contributions, or robotics and autonomy competitions.","Employer-disclosed pay range: $135,000 – $300,000 USD per year.","Engineer II- $135,000-$200,000","Senior Engineer: $165,000-$250,000","Staff Engineer: $200,000-$300,000","#LI-KC3","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-16T16:12:03.707Z","date_posted":null,"valid_through":null},{"id":"shieldai-6ca0453e-fa4b-476e-af4f-58d8ecc9b249","url":"https://roboticjobs.ai/jobs/shieldai-6ca0453e-fa4b-476e-af4f-58d8ecc9b249","employer_url":"https://jobs.lever.co/shieldai/6ca0453e-fa4b-476e-af4f-58d8ecc9b249","title":"Senior Engineer, Computer Vision (C++) (R5195)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","SLAM"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems.","The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.","The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as object detection, image classification, target recognition, semantic segmentation, feature extraction, object tracking, video analytics, dataset curation, model evaluation, or deployment of trained perception models would be highly valuable.","The role will also support the development and integration of learned perception models into real-time computer vision pipelines. This may include adapting detection, classification, recognition, or segmentation models for operational imagery; improving model performance across varied lighting, viewpoint, background, and environmental conditions; evaluating false positives and false negatives; and working with representative datasets to improve robustness. Familiarity with combining learned models with classical computer vision techniques, optimizing inference for edge deployment, and integrating model outputs into C++ perception systems would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Machine Learning, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant.","Required qualifications:","Degree in Computer Vision, Computer Science, Engineering, or related technical field.","Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments.","Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries.","Solid foundational understanding of computer vision, image processing, and machine learning principles.","Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.","Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery.","Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions.","Preferred qualifications:","We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out.","Master’s or PhD in Computer Science, Engineering, or a related field.","Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis.","Background in automated video surveillance or other related real-time vision systems.","Familiarity with industry-standard vision toolkits, such as OpenCV.","Exposure to deep learning methodologies for image classification, recognition, or sequence modelling.","Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios.","Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.","#LI-LD1","#LC","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-15T16:43:54.449Z","date_posted":null,"valid_through":null},{"id":"shieldai-6d30ed20-fdae-42ae-a4b0-93a05c60cdba","url":"https://roboticjobs.ai/jobs/shieldai-6d30ed20-fdae-42ae-a4b0-93a05c60cdba","employer_url":"https://jobs.lever.co/shieldai/6d30ed20-fdae-42ae-a4b0-93a05c60cdba","title":"Senior Autonomy Integration Engineer","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.","The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-27T19:48:52.854Z","date_posted":null,"valid_through":null},{"id":"shieldai-718bc6cc-d498-49f6-88be-908e4ff63a45","url":"https://roboticjobs.ai/jobs/shieldai-718bc6cc-d498-49f6-88be-908e4ff63a45","employer_url":"https://jobs.lever.co/shieldai/718bc6cc-d498-49f6-88be-908e4ff63a45","title":"Senior Software Engineer, Autonomy Capabilities – Maritime (R5339)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Boston, Massachusetts","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$160,000 – $240,000","compensation":[{"min":160000,"max":240000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $160,000 – $240,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","About the Job:","Focusing on the maritime portfolio, you’ll be creating autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions beyond conventional motion planning and waypoint following. The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics to search for, localize, and pursue targets while avoiding sensed threats and obstacles that pose a risk to platform safety. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.","As a Senior Engineer, you will develop and own major features from end-to-end, from design through operational deployment, and work closely with cross-functional teammates to achieve program goals. You’ll also take an active role in mentoring more junior engineers and may directly interface in customers in limited capacities.","What You'll Do:","Robust Motion Planning – Automate unmanned surface vehicle (USV) and/or unmanned underwater vehicle (UUV) maneuvering through advanced motion planning and adherence to safety constraints including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations","Localization and Tracking – Employ cutting edge approaches for passive and active localization by defining fusion modalities, sensor requirements, and observability-aware maneuvering capabilities to maximize information gleaned from single- or multi-agent sensor networks","Safe Maritime Operations – Keep vehicle safety as a central focus within autonomous behavior architectures to provide run-time assurance, ensure COLREGS adherence, and build operator trust in advanced mission autonomy","Heterogeneous Multi-Agent Collaboration – Develop distributed optimization and task allocation approaches for heterogenous teaming in order to accomplish mission objectives by maximally utilizing the diverse capabilities of agents to overall team advantage","Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms","Deployment & Test Support – Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect","R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission","Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience","Proficiency in programming languages such as C++ and Python","Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the maritime domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment","Ability to obtain a SECRET clearance or higher","Preferred Qualifications:","Experience in multiple domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Experience in applied research and development","Employer-disclosed pay range: $160,000 – $240,000 USD per year.","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-26T15:55:08.389Z","date_posted":null,"valid_through":null},{"id":"shieldai-7288397f-6318-4d86-a4de-1f321ce3cc85","url":"https://roboticjobs.ai/jobs/shieldai-7288397f-6318-4d86-a4de-1f321ce3cc85","employer_url":"https://jobs.lever.co/shieldai/7288397f-6318-4d86-a4de-1f321ce3cc85","title":"Manager of Engineering - Autonomous Pilot Integration (R5153)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$220,000 – $330,000","compensation":[{"min":220000,"max":330000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $220,000 – $330,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll lead a team of autonomy engineers working on launched effects programs — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — close enough to the code and the integration work to make sound technical decisions, to be credible to your team, and to lead them through the design, development, and delivery of a major capability or program. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners that staff and operate alongside our team. This portfolio runs at a fast cadence — frequent Capability Release milestones, multi-agent fleet operations, air-gapped deployments at scale, and demanding live exercises — and you'll set the pace for your team accordingly.","Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.","What you'll do:","Lead the Team — Manage a small-to-mid-sized engineering team (typically 3–8 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals.","Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates.","Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact.","Develop & Field Autonomy — Develop & integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments — and lead a small team through the design, development, and delivery of a major capability or program.","Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.","Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners (including embedded contractor engineers and U.S. or international government program offices); author and negotiate ICDs and interface contracts rather than just consume them.","Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.","Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and fleet-scale deployments (often 50–150+ units in disconnected environments); coordinate hardware/software compatibility, mission readiness, and Capability Release (CR) cadence with capability and feature teams.","On-site Test & Mission Support — Travel to test sites and customer exercises to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations), including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.","Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.","Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.","C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).","Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, range exercises, and integration events).","Required qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.","2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning).","Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers.","Track record of mentoring engineers and growing their technical skill and career trajectory.","Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.","Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.","Direct experience with launched effects, loitering munitions, expendable autonomous systems, or comparable small unmanned platforms.","Experience with multi-agent, swarm, or fleet-scale autonomy.","Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).","Hands-on experience supporting live exercises, customer demonstrations, or operational test events for launched effects or similar small unmanned systems.","Experience with autonomy simulation environments for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred qualifications:","Direct experience with PX4 and/or ArduPilot at the platform integration level.","Experience using and developing on QGroundControl (QGC) or other Qt-based ground control stations.","Proficiency in Python for scripting, automation, and analysis.","Experience leading a feature crew, sub-program, or small team in an unmanned systems context.","Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework.","Experience with air-gapped, disconnected, or otherwise constrained deployment of autonomous systems at fleet scale.","Familiarity with tactical edge C2 (e.g., TAK, CoT) and ground operator workflows.","Experience working with embedded contractor engineers, FFRDC partners, or customer-funded staff augmentation models.","Experience supporting international defense customer programs (FMS or direct commercial sales).","Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices).","Track record of cross-team improvements (process, rigor, documentation, or developer experience).","Familiarity with autonomy stacks, motion planning, or vehicle-control integration.","Competence in avionics bring-up, payload computer integration, or hardware-in-the-loop debugging.","Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with common message and open-systems standards such as UCI, OMS, MOSA, or WOSA.","Employer-disclosed pay range: $220,000 – $330,000 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-11T02:51:57.365Z","date_posted":null,"valid_through":null},{"id":"shieldai-75c6cb21-5e86-4676-aaab-821f9aab4e5d","url":"https://roboticjobs.ai/jobs/shieldai-75c6cb21-5e86-4676-aaab-821f9aab4e5d","employer_url":"https://jobs.lever.co/shieldai/75c6cb21-5e86-4676-aaab-821f9aab4e5d","title":"Staff Engineer, Software Autonomy Applications (R4830)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Tokyo","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments.","In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities.","This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site.","What you'll do:","Deploy with customers on site globally (~50% travel) to support software integration and development activities.","Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.","Provide technical support and training to customers on use of Hivemind.","Develop AI & Autonomy applications using the Shield AI enterprise software development kit.","Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions","Assist in post-sales deployment and integration of Shield AI enterprise software products.","Develop and maintain technical documentation and training materials.","Help customers debug software/API integration issues.","Collaborate with the product engineering team to address customer feedback and improve products.","Act as a technical leader across engagements by elevating team performance, driving execution across cross-functional teams, and ensuring successful delivery in complex environments.","Required qualifications:","Bachelor’s degree in Engineering, Computer Science, or a related field, and 7+ years of industry experience, OR","Master’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Preferred qualifications:","Experience in the defense, aviation, or robotics industry.","Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer.","Experience operating in a fast-paced, startup-like, environment.","Advanced technical degree, especially in robotics or autonomy related fields","#LI-FB1","#LD","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-04-18T00:11:57.617Z","date_posted":null,"valid_through":null},{"id":"shieldai-769cc40d-1eca-4aef-a560-eec86b2047ec","url":"https://roboticjobs.ai/jobs/shieldai-769cc40d-1eca-4aef-a560-eec86b2047ec","employer_url":"https://jobs.lever.co/shieldai/769cc40d-1eca-4aef-a560-eec86b2047ec","title":"Senior Staff Engineer, Autonomy Capabilities – Space (R5360)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$220,800 – $331,200","compensation":[{"min":220800,"max":331200,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $220,800 – $331,200 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","About the Job:","Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs. In many cases, the capabilities you will develop are at the cutting edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial.","As a Sr Staff Engineer, you will lead the technical direction for the portfolio, driving the evolution of autonomy capabilities and architectures across multiple programs. At this level, you’ll combine your deep technical expertise and systems level thinking to not only provide capabilities that meet the needs of the now, but to anticipate the needs of the future to ensure long-term portfolio success. You’ll take an active role in mentoring engineers across the organization and be a key expert that leadership leans-on for decomposing ambiguous customer needs into tangible design approaches.","What you'll do:","Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellite coordinated missions","Weapons Target Assignment – Employ cutting edge approaches for weapons target assignment and motion planning for fleets of space vehicles and interceptors that have critical roles in our national defense","Advance the State of the Art – Pioneer advanced topics in low-SWaP optimal control, tactical behavior management in cooperative and adversarial contexts, and information-aware planning","Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms","Deployment & Test Support – Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect","R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience in multiple aerospace domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Employer-disclosed pay range: $220,800 – $331,200 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-05T19:43:52.623Z","date_posted":null,"valid_through":null},{"id":"shieldai-7cc0e741-8e36-4d49-8046-ba051a535705","url":"https://roboticjobs.ai/jobs/shieldai-7cc0e741-8e36-4d49-8046-ba051a535705","employer_url":"https://jobs.lever.co/shieldai/7cc0e741-8e36-4d49-8046-ba051a535705","title":"Manager, Autonomy Applications Engineering (R5188)","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Shield AI is seeking a Manager, Autonomy Applications Engineering to lead a team of Forward Deployed Engineers supporting customer deployment, adoption, and operational success with the Hivemind SDK. This is a highly technical, customer-facing leadership role focused on enabling the team to deliver excellent on-site customer support, deployment execution, and success in real-world environments. The manager will own team performance, customer outcomes, and the flow of actionable field feedback back into the company.","In this role, you will manage, coach, and develop Forward Deployed Engineers who work directly with customer operators, engineers, and technical stakeholders to support onboarding, deployment, troubleshooting, and sustained use of Hivemind. You will help the team navigate complex technical environments, translate mission and program goals into concrete technical milestones, and drive progress during active engagements. You will also partner closely with internal engineering, product, Applications Engineering, and program teams to improve customer readiness, product usability, deployment playbooks, and long-term customer success.","What you'll do:","Lead, manage, mentor, and develop a team of Forward Deployed Engineers responsible for customer deployments and technical customer success","Own team planning, prioritization, staffing, and execution for on-site and virtual customer engagements","Provide technical leadership for customer onboarding, deployment, adoption, and operational success with the Hivemind SDK","Serve as an escalation point and trusted technical leader for customers using Hivemind in real-world environments","Translate customer goals, mission needs, and program objectives into clear technical milestones, execution plans, and team priorities","Drive accountability across the team for achieving intended customer outcomes during active engagements","Guide the team through debugging and resolution of complex software and integration issues","Partner with customer teams and internal stakeholders to remove blockers, improve time-to-value, and sustain adoption","Build mechanisms to collect, synthesize, and communicate recurring customer pain points, product gaps, and field insights to internal teams","Represent the voice of the customer in internal planning and prioritization discussions","Collaborate with product and engineering teams to improve product quality, usability, deployment readiness, and repeatable field execution","You should apply if:","You enjoy leading technical teams while staying close to customers and field execution","You are energized by coaching engineers through dynamic on-site challenges in real operational contexts","You can translate ambiguous customer needs into structured technical plans, team priorities, and measurable outcomes","You are comfortable making decisions, removing blockers, and helping a team drive progress under pressure","You have strong engineering fundamentals and can build credibility quickly with technical stakeholders, customers, and direct reports","You enjoy working across engineering, product, and customer teams to improve both product outcomes and customer success","You are passionate about or have great interest in autonomy, robotics, aerospace, defense technology, or deploying advanced software in the field","Required qualifications:","Bachelor's degree in Engineering, Computer Science, or a related technical field","8+ years of relevant technical experience in software engineering, deployment engineering, solutions engineering, applications engineering, or forward deployed engineering","2+ years of people management or formal technical leadership experience for engineers","Experience in a customer-facing technical leadership role such as forward deployed engineering, solutions engineering, applications engineering, or customer engineering","Strong technical background in software engineering, including the ability to review and debug complex systems and guide technical tradeoffs","Strong proficiency with modern C++ and experience with Python in a professional setting","Excellent communication, presentation, interpersonal, coaching, and people leadership skills","Strong problem-solving and analytical skills, with sound judgment under pressure","Ability to travel up to 30%","Preferred qualifications:","Experience working in a startup environment","Experience managing or leading teams in the defense, robotics, aerospace, or autonomous systems industry","Experience building or scaling a forward deployed engineering, solutions engineering, applications engineering, or customer engineering function","Experience gathering field feedback, influencing product direction based on customer needs, and establishing repeatable customer success playbooks","Why join Shield AI:","Help build the defining defence technology company of this century.","Work at the forefront of AI, autonomy, and next-generation defence systems.","Operate in a highly entrepreneurial and mission-driven environment.","Make a direct impact on international growth and strategic defence partnerships.","Collaborate with exceptional teams solving some of the world’s most complex operational challenges.","#LI-LD2","#LD","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-17T02:25:44.614Z","date_posted":null,"valid_through":null},{"id":"shieldai-82ee14ce-eba4-4cef-a540-599f828cd652","url":"https://roboticjobs.ai/jobs/shieldai-82ee14ce-eba4-4cef-a540-599f828cd652","employer_url":"https://jobs.lever.co/shieldai/82ee14ce-eba4-4cef-a540-599f828cd652","title":"Senior Engineer, Autonomy and Motion Planning (R5263)","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","This position on the Autonomy team in the UK will lead the delivery of autonomous behaviors into our products, acting as technical leads, senior individual contributors, and/or as team leads that are also hands-on contributors. We expect candidates to demonstrate unparalleled end-to-end outcome ownership, driving the architecting, design, delivery, support, and evolution of safe and effective mission autonomy software throughout the entire product lifecycle.","What you'll do:","Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision","Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios","Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development","Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios","Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing)","Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time","Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.)","Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership.","Travel to co-locate with end-users and/or other teams up to 20% of the time","Required qualifications:","BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Proficient in production-level C++ software development","7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management","Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment","Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity","Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment","Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution","Preferred qualifications:","Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready","Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations","Experience across a multitude of application areas, including but not limited to:","Collaborative mission planning, behavior planning, synchronized teaming","Automated red force vs blue force tactics","Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions","Weapons target assignment, Sensor target pairing, sensor-centric control laws","Collision avoidance, geofencing, and safety-monitoring","Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.)","Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation","Familiarity with practical aspects of navigation and communications systems","Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment","Familiarity with systems engineering methodologies","Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's)","Why join Shield AI:","Help build the defining defence technology company of this century.","Work at the forefront of AI, autonomy, and next-generation defence systems.","Operate in a highly entrepreneurial and mission-driven environment.","Make a direct impact on international growth and strategic defence partnerships.","Collaborate with exceptional teams solving some of the world’s most complex operational challenges.","#LI-LD2","#LD","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-24T09:11:40.367Z","date_posted":null,"valid_through":null},{"id":"shieldai-84623e5a-e496-4431-bc15-9bb92a080bc4","url":"https://roboticjobs.ai/jobs/shieldai-84623e5a-e496-4431-bc15-9bb92a080bc4","employer_url":"https://jobs.lever.co/shieldai/84623e5a-e496-4431-bc15-9bb92a080bc4","title":"Senior Software Engineer, Autonomous Pilot Integration – Emerging Domains (R5423)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$163,200 – $244,800","compensation":[{"min":163200,"max":244800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $163,200 – $244,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll develop and integrate autonomy capabilities across a variety of emerging-domain platforms while helping establish autonomy on systems that often have no existing autonomy baseline. You'll work closely with platform teams, the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer stakeholders to solve complex integration challenges and deliver mission-ready autonomy software. This is a hands-on role for engineers who enjoy working across diverse platforms, solving ambiguous technical problems, and seeing new capabilities operate in real-world environments.","What You'll Do:","Stand Up New Capabilities – Help establish autonomy on new platforms and mission areas by integrating existing Shield AI capabilities with platform-specific software and developing new autonomy where needed.","Develop & Field Autonomy – Develop and integrate autonomy software onto emerging-domain platforms, including platform and autopilot integration, payload and sensor integration, mission behaviors, multi-agent coordination, and validation through software-, hardware-, vehicle-, and live testing.","Platform Team Partnerships – Partner closely with platform teams to integrate autonomy capabilities, validate interfaces, coordinate hardware/software compatibility, and support mission readiness.","Collaboration Across Teams & Partners – Work with the Autonomy Capabilities, Perception, GCS teams, feature crews, and customer/program offices to deliver integrated autonomy solutions.","Design & Documentation – Contribute to design reviews, ICDs, integration planning, and post-mortems while improving engineering rigor across teams.","Pre-deployment Preparation – Build, configure, validate, and prepare mission-ready systems while coordinating release readiness with platform and capability teams.","On-site Test & Mission Support – Support flight tests, maritime trials, ground testing, customer demonstrations, and operational exercises through system bring-up, troubleshooting, and mission execution.","Hardware/Software Debugging – Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces.","Mission Data & Debrief Support – Capture mission data, reproduce issues in simulation, and partner with capability owners to rapidly improve future releases.","Continuous Improvement – Develop tools and engineering processes that improve integration velocity, testing reliability, and mission readiness.","C2 Interoperability & Standards – Implement and validate interfaces with command-and-control systems while supporting program-appropriate interoperability standards.","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent practical experience.","Typically requires 5+ years of relevant experience.","Strong proficiency in C++ and Linux-based development.","Experience integrating embedded or real-time software systems.","Experience supporting integration, testing, or operational field events.","Strong systems-level problem-solving skills.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience with autonomous aircraft, maritime systems, spacecraft, or robotics.","Experience with autonomy software, autopilot integration, or robotics frameworks.","Python, Docker, or CI/CD experience.","Experience working in early-stage R&D or rapid prototyping environments.","Experience supporting DoD customers or field demonstrations.","Employer-disclosed pay range: $163,200 – $244,800 USD per year.","#LI-ED1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:57:17.028Z","date_posted":null,"valid_through":null},{"id":"shieldai-86c6e595-54b8-4e04-a50e-5676118ce77e","url":"https://roboticjobs.ai/jobs/shieldai-86c6e595-54b8-4e04-a50e-5676118ce77e","employer_url":"https://jobs.lever.co/shieldai/86c6e595-54b8-4e04-a50e-5676118ce77e","title":"Engineer, Autonomous Systems Integration (R6266)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Systems & Integration","experience":"Other levels","detected_skills":["C++","Python","Linux"],"advertised_pay":"$130,000 – $190,000","compensation":[{"min":130000,"max":190000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $130,000 – $190,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and aircraft systems, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific.","Shield AI is seeking a senior, hands-on UxS Integration and Systems Expert to help ensure Hivemind can be developed, tested, demonstrated, and supported on representative unmanned systems with confidence. This role sits at the intersection of autonomy software, unmanned aircraft and robotic systems, onboard compute, networking, radios, sensors, flight controllers, simulation, test operations, and customer-facing demonstrations.","This is a senior technical leadership role for someone who is both a builder and an operator. The right candidate can move comfortably from architecture discussions to benchtop integration, from lab troubleshooting to field execution, and from platform evaluation to clear recommendations for engineering, test, product, and operations leaders.","You will serve as a trusted systems-integration authority for Hivemind test and demonstration hardware. You will help teams select and prepare representative platforms, understand integration tradeoffs, improve test readiness, diagnose cross-disciplinary issues, and translate lessons from real hardware into better engineering, test, and operational practice. The role requires strong judgment, calm execution under pressure, and the ability to bring structure to ambiguous technical environments without overfitting to a single platform or workflow.","What you'll do:","Serve as a senior technical focal point for Hivemind integration and test readiness across unmanned aircraft, robotic systems, representative test vehicles, onboard compute, radios, sensors, payloads, and supporting ground equipment.","Lead hands-on integration and troubleshooting efforts that span autonomy software, hardware, flight controllers, communications systems, networking, operator interfaces, and field operations.","Partner with engineering, test, product, operations, field, and customer-facing teams to evaluate new platforms and determine how they can best support Hivemind development, validation, training, demonstrations, and customer objectives.","Help take systems from early concept or benchtop integration through representative test, field execution, and operationally relevant demonstrations.","Provide senior-level technical judgment on platform suitability, integration complexity, test readiness, risk, safety, maintainability, cost, availability, and customer value.","Support test planning and execution across simulated, hardware-in-the-loop, live-vehicle, and flight-test environments while keeping the role focused on practical system readiness and evidence quality.","Help define clear readiness criteria, test expectations, operating assumptions, and handoff points for representative hardware used by Hivemind teams.","Diagnose complex cross-disciplinary issues and help route them effectively across software, autonomy, hardware, flight-test, networking, and operations stakeholders.","Contribute to test methods, metrics, and evidence practices that improve confidence in Hivemind behavior across representative and real-world environments.","Support automation, tooling, and data-review practices that improve repeatability, reduce manual burden, and make hardware-based testing easier to operate at scale.","Capture and share practical knowledge from platform bring-up, test events, flight operations, and customer-facing demonstrations so teams can reuse lessons learned.","Mentor engineers and operators on systems integration, hardware readiness, field troubleshooting, test discipline, and practical autonomy test execution.","Projects you might work on:","Evaluating a new unmanned aircraft, ground robot, customer-selected platform, or lab setup for suitability as a Hivemind development, test, training, or demonstration asset.","Leading technical preparation for a Hivemind test event or customer demonstration that depends on representative hardware, onboard compute, communications, sensors, and operator workflows.","Advising a program team on the right level of platform fidelity needed for a pilot effort, internal test campaign, or customer-facing technical engagement.","Supporting integration between Hivemind and flight-control systems, onboard compute, sensors, payloads, radios, ground-control equipment, or simulation environments.","Helping a test team define practical readiness criteria, test coverage, data-review expectations, and evidence standards for hardware-based autonomy validation.","Working with engineering and operations leaders to turn lessons from field or lab execution into reusable guidance, training, and better test practices.","Required qualifications:","10+ years of experience in UxS or UAS systems integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles.","Demonstrated experience leading complex integration efforts across hardware, software, autonomy, networking, communications, sensors, and operational test environments.","Strong practical experience bringing up, configuring, operating, and troubleshooting unmanned systems, onboard compute, flight controllers, radios, sensors, ground stations, and supporting test equipment.","Working knowledge of Linux, embedded systems, networking, system configuration, data collection, logs, services, and field diagnostics.","Experience with unmanned-systems autopilot or flight-control ecosystems such as PX4, ArduPilot, MAVLink, Pixhawk/Cube-class flight controllers, QGroundControl, Mission Planner, or equivalent systems.","Experience supporting testing across simulation, hardware-in-the-loop, live-vehicle, field, or flight-test environments.","Ability to develop and communicate test plans, readiness criteria, operating assumptions, technical recommendations, and post-test findings for cross-functional audiences.","Strong analytical, problem-solving, and debugging skills across ambiguous, cross-disciplinary technical issues.","Ability to lead through influence across engineering, test, product, operations, field, and customer-facing teams.","Familiarity with scripting, automation, or data-analysis workflows using Python, Bash, MATLAB, or similar tools.","Strong ownership, urgency, and judgment in fast-moving environments where requirements, platforms, and constraints may evolve quickly.","Ability to comply with export-control, safety, security, customer-site, and mission-specific operating requirements.","Ability to obtain and maintain a Secret security clearance; U.S. citizenship required.","Preferred qualifications:","Experience with Hivemind, autonomy SDKs, autonomous aircraft systems, robotics middleware, simulation infrastructure, or edge-deployed autonomy software.","Hands-on experience with NVIDIA Jetson, embedded Linux, systemd services, containerized deployment, device provisioning, and field update workflows.","Experience with RF/radio setup, mesh networking, tactical datalinks, software-defined radios, or communications-degraded test scenarios.","Experience supporting flight test, range operations, customer trials, operational rehearsals, or complex demonstrations.","Experience integrating EO/IR cameras, gimbals, lidar, GPS/GNSS, IMUs, payloads, or perception sensors.","Experience contributing to test automation, regression frameworks, data validation, performance benchmarking, or CI/CD-integrated test workflows.","Familiarity with C++ for debugging, interface review, or collaboration with software engineering teams.","FAA Part 107, private pilot license, military UAS, aviation maintenance, flight-test, or range-safety experience.","Experience defining reference configurations, hardware baselines, supported configurations, or setup guidance for internal and external users.","Active Secret clearance or higher.","Employer-disclosed pay range: $130,000 – $190,000 USD per year.","#LI-KC3","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-04T05:48:06.824Z","date_posted":null,"valid_through":null},{"id":"shieldai-89fc4fec-1fa4-4d2a-b732-fd2138ab3036","url":"https://roboticjobs.ai/jobs/shieldai-89fc4fec-1fa4-4d2a-b732-fd2138ab3036","employer_url":"https://jobs.lever.co/shieldai/89fc4fec-1fa4-4d2a-b732-fd2138ab3036","title":"Staff Engineer, Computer Vision (C++) (R5196)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","SLAM"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","This role is for a Computer Vision C++ Engineer to support the development of real-time perception capabilities for Shield AI's autonomous systems.","The Computer Vision Engineer will be responsible for designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines. The role will focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments. This position is required to increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.","The successful candidate will bring strong C++ software engineering skills, experience developing high-performance or real-time systems, and a deep understanding of computer vision fundamentals. They should be capable of translating research concepts into deployable software and comfortable working on bespoke algorithms rather than relying only on existing libraries. Experience with areas such as camera calibration, multi-view geometry, geospatial registration, 3D reconstruction, image rectification, sensor alignment, coordinate transformations, or target localization would be highly valuable.","The role will also support the development of geometry-based computer vision pipelines, including applications such as camera modelling, intrinsic and extrinsic calibration, image-to-world projection, geolocation from imagery, visual registration, and multi-sensor spatial alignment. Familiarity with photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and deployment of geometry algorithms into real-time C++ systems would be beneficial. Candidates with a Master's or PhD in Computer Science, Engineering, Robotics, Computer Vision, Geomatics, Photogrammetry, or a related field would be well aligned with the technical needs of the team, though strong applied industry experience is also highly relevant.","Required qualifications:","Degree in Computer Vision, Computer Science, Engineering, or related technical field.","Deep proficiency in C++, with proven experience developing software in high-performance, real-time environments.","Demonstrated experience designing and implementing custom computer vision algorithms from scratch, rather than exclusively applying existing libraries.","Solid foundational understanding of computer vision, image processing, and machine learning principles.","Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.","Proven ability to own technical work from ambiguous requirements through algorithm design, implementation, integration, and delivery.","Ability to collaborate effectively with multidisciplinary cross-functional teams, including AI experts, robotics engineers, and optical engineers, to deliver reliable edge solutions.","Preferred qualifications:","We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out.","Master’s or PhD in Computer Science, Engineering, or a related field.","Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis.","Background in automated video surveillance or other related real-time vision systems.","Familiarity with industry-standard vision toolkits, such as OpenCV.","Exposure to deep learning methodologies for image classification, recognition, or sequence modelling.","Practical experience integrating deep learning models into broader computer vision systems for real-time deployment scenarios.","Previous experience in the Defence sector, autonomous unmanned systems, or similar mission-critical domains.","#LI-LD1","#LD","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-15T16:49:01.639Z","date_posted":null,"valid_through":null},{"id":"shieldai-8afc41da-27a5-4054-a3c7-87b3ceb6cf0a","url":"https://roboticjobs.ai/jobs/shieldai-8afc41da-27a5-4054-a3c7-87b3ceb6cf0a","employer_url":"https://jobs.lever.co/shieldai/8afc41da-27a5-4054-a3c7-87b3ceb6cf0a","title":"Forward Deployed Engineer, Autonomy (open level)","employer":{"id":"shieldai","name":"Shield AI"},"location":"United States","work_mode":"Remote","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":["C++","Python","Rust"],"advertised_pay":"$152000-$228,000","compensation":[{"min":152000,"max":318000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $152,000 – $318,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments. This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site.","This is primarily a Senior-level role, and we’re typically looking for candidates with several years of relevant industry experience. That said, we will consider exceptional mid-level engineers who demonstrate strong technical fundamentals, a hands-on mindset, and a track record of taking initiative in dynamic, customer-driven environments","In this role, you will work closely with customers to understand their requirements, provide technical expertise during deployment, and ensure successful integration of our AI and autonomy products. You’ll also collaborate internally with engineering teams, with opportunities to grow into technical leadership over time.","You Should Apply If:","You’re excited about a travel-heavy role and enjoy being on-site with customers, including international and multi-week engagements","You’re a strong technical contributor (or early in your career and eager to grow) who takes initiative and figures things out","You enjoy problem solving, building relationships, and working at the intersection of engineering and real-world deployment","You’re passionate about autonomy, robotics, or aerospace","You Should Not Apply If:","You prefer minimal travel or want to work primarily from a single location","You want to do 100% R&D and don’t enjoy customer interactions","You’ve never programmed in C, C++, or Rust","What you'll do:","Deploy with customers on site globally (~50% travel) to support software integration and development activities.","Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.","Provide technical support and training to customers.","Develop AI & Autonomy applications using the Shield AI enterprise software development kit","Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions","Assist in post-sales deployment and integration of Shield AI enterprise software products.","Develop and maintain technical documentation and training materials.","Help customers debug software/API integration issues.","Collaborate with the product engineering team to address customer feedback and improve products.","Required qualifications:","Bachelor’s degree in Engineering, Computer Science, or a related field.","5+ years of experience of industry experience","2+ years of experience in an integration/applications engineering role","2+ years of experience working in a startup environment.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Intermediate proficiency in writing Python code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Preferred qualifications:","Experience in the defense aviation or robotics industry.","Experience building and running a small enterprise software applications/solutions engineering team.","Advanced technical degree, especially in robotics or autonomy related fields","Senior Engineer: $152000-$228,000","Staff Engineer: $181,000-$272,000","Senior Staff Engineer: $212,000-$318,000","Employer-disclosed pay range: $152,000 – $318,000 USD per year.","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-30T16:56:15.171Z","date_posted":null,"valid_through":null},{"id":"shieldai-8b13cc38-809d-4aac-a778-a374a3d99167","url":"https://roboticjobs.ai/jobs/shieldai-8b13cc38-809d-4aac-a778-a374a3d99167","employer_url":"https://jobs.lever.co/shieldai/8b13cc38-809d-4aac-a778-a374a3d99167","title":"Senior Staff Software Engineer, Autonomous Pilot Integration –  Weapons (R5398)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$233,760 – $350,640","compensation":[{"min":233760,"max":350640,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $233,760 – $350,640 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll define the technical direction for the Launched Effects portfolio, driving the evolution of autonomy architecture across multiple programs while ensuring scalable, mission-ready solutions for fleet-scale operations. You'll solve the organization's most complex integration challenges, influence long-term technical strategy, and partner with engineering leadership, the Autonomy Capabilities and Perception teams, autopilot vendors, C2 providers, and customer stakeholders to deliver autonomy capabilities that perform reliably in operational environments.","What You'll Do:","Technical Strategy & Portfolio Leadership – Define the long-term technical direction for the Launched Effects portfolio; drive common integration patterns, architecture, and engineering strategy that enable scalable fleet operations across current and future programs.","Develop & Field Autonomy – Guide the development and integration of mission autonomy, platform interfaces, executive autonomy, multi-agent coordination, and fleet-scale deployment capabilities while ensuring successful operational delivery across launched effects programs.","Collaboration Across Teams & Partners – Build strong technical partnerships across the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, customer organizations, and engineering leadership; influence architecture and technical direction beyond the portfolio.","Design & Documentation – Lead cross-functional architecture reviews, interface standards, ICDs, and post-mortems while raising engineering rigor and technical consistency across multiple organizations.","Mentorship & Organizational Growth – Mentor Staff and Senior engineers, develop future technical leaders, contribute to engineering standards and leveling, and partner with managers on senior hiring.","Pre-deployment Preparation – Guide Capability Release planning, fleet-scale deployment strategies, mission validation, and operational readiness across multiple programs.","On-site Test & Mission Support– Provide senior technical leadership during critical flight tests, customer demonstrations, and operational exercises where deep systems integration expertise is required.","Hardware/Software Debugging – Lead resolution of the organization's most complex autonomy integration challenges spanning software, embedded systems, networking, platform interfaces, and operational environments.","Mission Data & Debrief Support – Drive post-mission analysis, identify systemic improvements, and influence long-term technical investments based on operational learnings.","Continuous Improvement – Drive organization-wide improvements to engineering processes, testing infrastructure, integration workflows, developer experience, and mission reliability.","C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability; shape interface evolution with internal and external stakeholders while driving adoption of common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).","Hiring & Developing Technical Talent– Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities.","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent practical experience.","Typically requires 10+ years of relevant experience.","Expert-level C++ and Linux systems development experience.","Demonstrated experience defining technical strategy across multiple engineering teams or programs.","Proven track record influencing architecture and solving highly complex autonomy integration challenges.","Experience mentoring senior engineers and driving engineering excellence across an organization.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Extensive experience with launched effects, autonomous systems, or distributed robotic platforms.","Experience defining autopilot integration strategies and multi-agent autonomy architectures.","Experience leading fleet-scale or disconnected operational deployments.","Experience with military operational testing and international defense customers.","Experience with UCI, OMS, MOSA, WOSA, TAK/CoT, or similar open architectures.","Experience shaping engineering practices across multiple teams or organizations.","Employer-disclosed pay range: $233,760 – $350,640 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:54:07.546Z","date_posted":null,"valid_through":null},{"id":"shieldai-8c213d66-730b-4604-91b1-97dca42a59e3","url":"https://roboticjobs.ai/jobs/shieldai-8c213d66-730b-4604-91b1-97dca42a59e3","employer_url":"https://jobs.lever.co/shieldai/8c213d66-730b-4604-91b1-97dca42a59e3","title":"Perception Engineer - Multimodal & Embodied AI (R6022)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++","Python","CUDA","PyTorch"],"advertised_pay":"$165,000 – $300,000","compensation":[{"min":165000,"max":300000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $165,000 – $300,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Bring promising AI research into autonomous systems that operate in the real world.Shield AI’s Perception team is looking for an engineer who enjoys exploring new ideas and making them work on real hardware. You’ll help turn advances in multimodal computer vision, visual foundation models, and embodied AI into useful capabilities for autonomous aircraft and vehicles.","Working alongside researchers and autonomy engineers, you’ll evaluate promising approaches, build prototypes, and carry successful ideas into the Hivemind product. You’ll combine learned methods with established perception techniques, working through the sensor, software, and compute challenges that make edge robotics different from a benchmark.","What you'll do:","Evaluate emerging models and methods against representative sensor data and autonomy needs.","Build prototypes and experiments that reveal strengths, limitations, and practical deployment opportunities.","Combine learned and classical approaches to improve detection, tracking, geometric vision, or sensor fusion.","Optimize and integrate capabilities for edge deployment, contributing Python and C++ software with support from experienced product engineers.","Help deliver tested, documented capabilities and stay involved as other teams adopt them.","Required qualifications:","A PhD in computer vision, machine learning (ML/DL), robotics, or a related field, or an equivalent record of advanced research and hands-on engineering.","Research depth in an area such as multimodal vision, visual foundation models, video understanding, open-vocabulary perception, or embodied learning.","Strong Python skills and experience with PyTorch or a comparable ML framework.","A thoughtful approach to experiments, evaluation data, and understanding why models fail.","Experience building substantial research software, an interest in developing production-quality C++, and a collaborative approach to solving problems.","Preferred qualifications:","Experience bringing a research prototype into sustained use.","Experience with robotics, real sensors, temporal data, or multi-sensor perception.","Familiarity with vision-language models, vision-language-action models, or embodied AI.","Experience with C++, edge inference, or model optimization using tools such as ONNX, TensorRT, or CUDA.","You don’t need to meet every preferred qualification or arrive as an expert C++ engineer. We welcome recent PhD graduates and early-career researchers, and we value technical depth, curiosity, and enthusiasm to transfer research to business value more than publication count alone.","Employer-disclosed pay range: $165,000 – $300,000 USD per year.","#LI-KC3","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-03T04:01:27.080Z","date_posted":null,"valid_through":null},{"id":"shieldai-9092fbe5-9f63-4ada-8e65-00d2f4754fd3","url":"https://roboticjobs.ai/jobs/shieldai-9092fbe5-9f63-4ada-8e65-00d2f4754fd3","employer_url":"https://jobs.lever.co/shieldai/9092fbe5-9f63-4ada-8e65-00d2f4754fd3","title":"Staff Software Engineer, Autonomy & Motion Planning","employer":{"id":"shieldai","name":"Shield AI"},"location":"Bangalore","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["This position on the Autonomy team in India will lead the delivery of autonomous behaviors into our products, acting as technical leads, senior individual contributors, and/or as team leads that are also hands-on contributors. We expect candidates to demonstrate unparalleled end-to-end outcome ownership, driving the architecting, design, delivery, support, and evolution of safe and effective mission autonomy software throughout the entire product lifecycle.","What you'll do:","Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision","Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios","Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development","Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios","Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing)","Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time","Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.)","Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership.","Travel to co-locate with end-users and/or other teams up to 20% of the time","Required qualifications:","BS /MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Proficient in production-level C++ software development","7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management","Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment","Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity","Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment","Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution","Preferred qualifications:","Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready","Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations","Experience across a multitude of application areas, including but not limited to:","Collaborative mission planning, behavior planning, synchronized teaming","Automated red force vs blue force tactics","Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions","Weapons target assignment, Sensor target pairing, sensor-centric control laws","Collision avoidance, geofencing, and safety-monitoring","Experience in more than one operational effect (e.g., strike, air combat, surveillance,"],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-10T12:42:43.020Z","date_posted":null,"valid_through":null},{"id":"shieldai-93f53ebc-7b99-468e-956b-07a82af2a315","url":"https://roboticjobs.ai/jobs/shieldai-93f53ebc-7b99-468e-956b-07a82af2a315","employer_url":"https://jobs.lever.co/shieldai/93f53ebc-7b99-468e-956b-07a82af2a315","title":"Staff Software Engineer, Autonomy Capabilities – Space (R5368)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Boston, Massachusetts","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$187,531 – $281,297","compensation":[{"min":187531,"max":281297,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $187,531 – $281,297 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","About the Job:","Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs. In many cases, the capabilities you will develop are at the cutting-edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial.","As a Staff Engineer, you will lead the technical delivery of complex autonomy capabilities and demonstrate the ability to operate in significantly more grey space than more junior engineers, helping customers shape their requirements, define technical approaches for the team, and drive technical execution throughout the development process. You will combine your deep technical expertise with systems-level thinking to deliver scalable and operationally ready autonomy solutions.","What You'll Do:","Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellite coordinated missions","Weapons Target Assignment – Employ cutting edge approaches for weapons target assignment and motion planning for fleets of space vehicles and interceptors that have critical roles in our national defense","Advance the State of the Art – Pioneer advanced topics in low-SWaP optimal control, tactical behavior management in cooperative and adversarial contexts, and information-aware planning","Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms","Deployment & Test Support – Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect","R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)","Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment","Ability to obtain a SECRET clearance or higher","Preferred Qualifications:","Experience in multiple aerospace domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Employer-disclosed pay range: $187,531 – $281,297 USD per year.","#LD","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-05T19:49:33.698Z","date_posted":null,"valid_through":null},{"id":"shieldai-94a05ffd-7376-4794-8d4b-80f6c56d151d","url":"https://roboticjobs.ai/jobs/shieldai-94a05ffd-7376-4794-8d4b-80f6c56d151d","employer_url":"https://jobs.lever.co/shieldai/94a05ffd-7376-4794-8d4b-80f6c56d151d","title":"Staff Software Engineer, Autonomy Capabilities (R5368)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Mateo, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$234,240 – $351,360","compensation":[{"min":234240,"max":351360,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $234,240 – $351,360 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What You'll Do:","Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.","High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.","Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.","Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.","Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.","Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.","R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.","Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Proficient in production-level C++ software development","7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management","Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment","Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity","Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment","Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution","Eligible to obtain and maintain an active U.S. Secret security clearance","Preferred Qualifications:","Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready","Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations","Experience across a multitude of application areas, including but not limited to:","Collaborative mission planning, behavior planning, synchronized teaming","Automated red force vs blue force tactics","Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions","Weapons target assignment, Sensor target pairing, sensor-centric control laws","Collision avoidance, geofencing, and safety-monitoring","Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.)","Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation","Familiarity with practical aspects of navigation and communications systems","Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment","Familiarity with systems engineering methodologies","Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's)","Employer-disclosed pay range: $234,240 – $351,360 USD per year.","#LD","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-01T15:49:52.868Z","date_posted":null,"valid_through":null},{"id":"shieldai-9c716bbd-d013-4efe-82ae-93654787f9b8","url":"https://roboticjobs.ai/jobs/shieldai-9c716bbd-d013-4efe-82ae-93654787f9b8","employer_url":"https://jobs.lever.co/shieldai/9c716bbd-d013-4efe-82ae-93654787f9b8","title":"Staff Autonomy Integration Engineer","employer":{"id":"shieldai","name":"Shield AI"},"location":"Bangalore","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with government stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Total package details for U.S. based positions:","- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity","- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days","of employment)","- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity","Total package details for International positions which are roles based outside of the United States (where applicable):","- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer","allowance, equity, international benefits, visa assistance, and relocation assistance.","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-09T12:21:02.989Z","date_posted":null,"valid_through":null},{"id":"shieldai-9dc614b4-9e93-49f5-9623-404e75426c7b","url":"https://roboticjobs.ai/jobs/shieldai-9dc614b4-9e93-49f5-9623-404e75426c7b","employer_url":"https://jobs.lever.co/shieldai/9dc614b4-9e93-49f5-9623-404e75426c7b","title":"Staff Engineer, Autonomy Capabilities – Maritime (R5325)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$220,800 – $331,200","compensation":[{"min":220800,"max":331200,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $220,800 – $331,200 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","About the Job:","Focusing on the maritime portfolio, you’ll be creating autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions beyond conventional motion planning and waypoint following. The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics to search for, localize, and pursue targets while avoiding sensed threats and obstacles that pose a risk to platform safety. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.","As a Staff Engineer, you will lead the technical delivery of complex autonomy capabilities and demonstrate the ability to operate in significantly more grey space than more junior engineers, helping customers shape their requirements, define technical approaches for the team, and drive technical execution throughout the development process. You will combine your deep technical expertise with systems-level thinking to deliver scalable and operationally ready autonomy solutions.","What you'll do:","Robust Motion Planning – Automate unmanned surface vehicle (USV) and/or unmanned underwater vehicle (UUV) maneuvering through advanced motion planning and adherence to safety constraints including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations","Localization and Tracking – Employ cutting edge approaches for passive and active localization by defining fusion modalities, sensor requirements, and observability-aware maneuvering capabilities to maximize information gleaned from single- or multi-agent sensor networks","Safe Maritime Operations – Keep vehicle safety as a central focus within autonomous behavior architectures to provide run-time assurance, ensure COLREGS adherence, and build operator trust in advanced mission autonomy","Heterogeneous Multi-Agent Collaboration – Develop distributed optimization and task allocation approaches for heterogenous teaming in order to accomplish mission objectives by maximally utilizing the diverse capabilities of agents to overall team advantage","Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms","Deployment & Test Support – Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect","R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission","Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience in multiple aerospace domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Employer-disclosed pay range: $220,800 – $331,200 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-26T16:06:13.220Z","date_posted":null,"valid_through":null},{"id":"shieldai-9e5b2887-d40e-48ac-bfb3-f08bc9aa8829","url":"https://roboticjobs.ai/jobs/shieldai-9e5b2887-d40e-48ac-bfb3-f08bc9aa8829","employer_url":"https://jobs.lever.co/shieldai/9e5b2887-d40e-48ac-bfb3-f08bc9aa8829","title":"Staff Software Engineer, Autonomous Pilot Integration –  Emerging Domains (R5401)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$195,200 – $292,800","compensation":[{"min":195200,"max":292800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,200 – $292,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll lead the technical delivery of complex autonomy capabilities across Emerging Domains, helping establish first-of-their-kind autonomy solutions for new platforms and mission areas. You'll own challenging integration efforts, influence technical direction across multiple subsystems, and work closely with platform teams and cross-functional engineering organizations to transition early R&D efforts into scalable, operational capabilities.","What You'll Do:","Stand Up New Programs – Lead technical efforts to establish autonomy on new platforms, determining how best to leverage existing Shield AI capabilities while developing new platform-specific solutions.","Navigate Ambiguity & Shifting Priorities– Operate effectively as programs evolve, adapting technical plans, balancing competing priorities, and maintaining engineering momentum through changing customer and program requirements.","Develop & Field Autonomy – Lead development and integration of autonomy software across emerging-domain platforms, including platform interfaces, payload integration, mission autonomy, and operational deployment.","Technical Leadership – Lead feature crews or major integration efforts, mentor engineers, remove technical obstacles, and drive delivery of complex capabilities.","Platform Team Partnerships – Serve as a primary technical partner to platform engineering teams while coordinating interface evolution, hardware/software compatibility, and mission readiness.","Collaboration Across Teams & Partners – Coordinate closely with Autonomy Capabilities, Perception, GCS, feature crews, customer/program offices, and external partners to deliver integrated autonomy solutions.","Design & Documentation – Lead design reviews, architecture discussions, ICD development, and engineering improvements across multiple efforts.","Pre-deployment Preparation – Drive validation, release readiness, hardware/software integration, and mission preparation for operational deployments.","On-site Test & Mission Support – Provide technical leadership during live testing, demonstrations, and operational events across air, maritime, space, and emerging platforms.","Hardware/Software Debugging – Lead root-cause analysis across complex autonomy stacks, embedded systems, and platform interfaces.","Mission Data & Debrief Support – Drive post-mission analysis and coordinate engineering improvements based on operational results.","Continuous Improvement – Improve engineering processes, testing infrastructure, integration workflows, and deployment efficiency.","C2 Interoperability & Standards – Drive implementation of command-and-control interfaces and interoperability standards appropriate for each platform.","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent practical experience.  Typically requires 7+ years of relevant experience.","Expert C++ and Linux development experience.","Experience leading complex autonomy or systems integration efforts.","Experience influencing technical direction across engineering teams.","Experience operating successfully in ambiguous or rapidly evolving technical environments.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience standing up autonomy on new platforms.","Experience with autonomous aircraft, maritime, or space systems.","Experience mentoring engineers and leading technical initiatives.","Experience with military test events or customer deployments.","Experience with UCI, OMS, STANAG 4586, or comparable interoperability standards.","Employer-disclosed pay range: $195,200 – $292,800 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T20:00:36.968Z","date_posted":null,"valid_through":null},{"id":"shieldai-ad3fcfd1-bfcf-4927-8bc6-fa7ab127bdda","url":"https://roboticjobs.ai/jobs/shieldai-ad3fcfd1-bfcf-4927-8bc6-fa7ab127bdda","employer_url":"https://jobs.lever.co/shieldai/ad3fcfd1-bfcf-4927-8bc6-fa7ab127bdda","title":"Autonomy & Perception Software Engineer (R5911)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++","Python"],"advertised_pay":"$165,000 – $300,000","compensation":[{"min":165000,"max":300000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $165,000 – $300,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Help build perception software that works beyond the lab. Shield AI’s Perception team builds software that helps autonomous aircraft and vehicles understand their surroundings and make decisions in the real world. We’re looking for an experienced engineer who enjoys solving difficult perception problems and turning those solutions into reliable autonomy capabilities.","You’ll bring depth in an area such as object tracking, classical/ML-based detection, computer vision, optimal state estimation, or sensor fusion. Working alongside autonomy, simulation, platform, and test engineers, you’ll take capabilities from an initial idea through deployment in the Hivemind product.","What you'll do:","Develop perception algorithms and production software in modern C++.","Own features from design and implementation through integration, testing, and delivery.","Investigate system behavior using sensor data, simulation, logs, and focused experiments.","Collaborate across teams to turn research and customer-driven work into reusable product capabilities.","Contribute to technical direction, review designs and code, and mentor other engineers.","Required qualifications:","Experience delivering production C++ software for perception, robotics, autonomy, or a related technical field.","Strong technical depth in at least one relevant area: detection, tracking, computer vision, image processing, estimation (e.g. Kalman Filtering), or sensor fusion.","An ability to debug complex systems and build software that others can understand, test, and maintain.","Comfort using Python or similar tools for experimentation and data analysis.","Sound technical judgment and a collaborative approach to solving problems.","Preferred qualifications:","Experience with","real sensors (EO/IR, Radar, LiDAR, IMU)","embedded or GPU deployment","resource-constrained compute environments","This role can be based in San Diego, San Mateo, Washington, DC, or Orlando, with a hybrid schedule of three days per week in the office.","Employer-disclosed pay range: $165,000 – $300,000 USD per year.","Senior Engineer: $165,000-$250,000","Staff Engineer: $200,000-$300,000","#LI-KC3","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-09T17:10:07.825Z","date_posted":null,"valid_through":null},{"id":"shieldai-addd3b2a-4b3b-41d8-9821-1cf50a442836","url":"https://roboticjobs.ai/jobs/shieldai-addd3b2a-4b3b-41d8-9821-1cf50a442836","employer_url":"https://jobs.lever.co/shieldai/addd3b2a-4b3b-41d8-9821-1cf50a442836","title":"Staff Software Engineer, Autonomy Behaviors (R4588)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Boston, Massachusetts","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$195,200 – $292,800","compensation":[{"min":195200,"max":292800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,200 – $292,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What You'll Do:","Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision","Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios","Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development","Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios","Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing)","Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time","Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.)","Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership.","Travel to co-locate with end-users and/or other teams up to 20% of the time","Required Qualifications:","BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Proficient in production-level C++ software development","7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management","Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment","Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity","Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment","Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution","Eligible to obtain and maintain an active U.S. Secret security clearance","Preferred Qualifications:","Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready","Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations","Experience across a multitude of application areas, including but not limited to:","Collaborative mission planning, behavior planning, synchronized teaming","Automated red force vs blue force tactics","Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions","Weapons target assignment, Sensor target pairing, sensor-centric control laws","Collision avoidance, geofencing, and safety-monitoring","Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.)","Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation","Familiarity with practical aspects of navigation and communications systems","Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment","Familiarity with systems engineering methodologies","Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's)","Employer-disclosed pay range: $195,200 – $292,800 USD per year.","#LD","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-04-29T20:09:08.196Z","date_posted":null,"valid_through":null},{"id":"shieldai-aec9e538-6071-47c5-9c9b-8aadc0bd3f7e","url":"https://roboticjobs.ai/jobs/shieldai-aec9e538-6071-47c5-9c9b-8aadc0bd3f7e","employer_url":"https://jobs.lever.co/shieldai/aec9e538-6071-47c5-9c9b-8aadc0bd3f7e","title":"Senior Software Engineer, Autonomous Pilot Integration (R5200)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":"$163,200 – $244,800","compensation":[{"min":163200,"max":244800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $163,200 – $244,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does.","Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.","What You'll Do:","Develop & Field Autonomy— Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces.","Collaboration Across Teams — Work closely with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers) to deliver and validate mission-critical functionality on time.","Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.","On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.","Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.","Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.","C2 Interoperability & Standards — Implement and validate compliance with command-and-control standards (e.g., A-GRA, UCI, OMS) and coordinate with C2 providers on interface contracts and integration milestones.","Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.","Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, ActiveMQ).","Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.","Experience with autonomy simulation environments for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting uncrewed systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.","Proficiency in Python for scripting, automation, and analysis.","Familiarity with autonomy stacks, motion planning, or vehicle-control integration.","Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.","Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.","Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).","Proficiency in developing automation tools for system testing, logging, and data parsing.","Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with C2 standards such as A-GRA, UCI, or OMS.","Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.","Employer-disclosed pay range: $163,200 – $244,800 USD per year.","#LI-ED1","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-08T15:09:25.046Z","date_posted":null,"valid_through":null},{"id":"shieldai-b5a0906c-ecaa-47de-9173-fa7ce02989cd","url":"https://roboticjobs.ai/jobs/shieldai-b5a0906c-ecaa-47de-9173-fa7ce02989cd","employer_url":"https://jobs.lever.co/shieldai/b5a0906c-ecaa-47de-9173-fa7ce02989cd","title":"Staff Engineer, Perception (R5611)","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","SLAM","CUDA","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Shield AI’s mission is to protect service members and civilians with intelligent systems. We are seeking a Senior or Staff Robotics Perception Engineer to develop and deploy advanced perception and navigation capabilities for autonomous aircraft operating in complex and GNSS-denied environments.","This role requires deep expertise in visual-inertial odometry (VIO), visual SLAM, vision-based navigation, state estimation, and camera–IMU sensor fusion. You will take algorithms from early-stage prototypes through embedded implementation, field testing, and flight validation on operational autonomous platforms.","This is not a general AI/ML or object-detection role. We are looking for an engineer whose core expertise lies at the intersection of robotics perception, VIO/SLAM, state estimation, camera and inertial sensing, and real-time embedded deployment.","What you'll do:","Design, develop, and deploy VIO, visual SLAM, visual localization, and vision-based navigation capabilities for autonomous aircraft.","Develop robust state-estimation and sensor-fusion solutions using cameras, IMUs, and other onboard sensors.","Build geometric computer-vision components, including feature tracking, optical flow, pose estimation, triangulation, and visual localization.","Develop geo-localization and map-matching capabilities using satellite, aerial, or orthophoto imagery.","Integrate perception and navigation algorithms with flight-control and autonomy systems.","Implement and optimize algorithms in C++ for real-time operation on embedded Linux platforms.","Develop and maintain real-time camera and video-processing pipelines using technologies such as GStreamer and V4L2.","Optimize workloads for NVIDIA Jetson, Orin, or comparable embedded-compute platforms, including CUDA and TensorRT where appropriate.","Required qualifications:","Significant hands-on experience developing robotics perception or navigation systems.","Strong expertise in VIO, visual SLAM, vision-based navigation, or GNSS-denied localization.","Deep understanding of camera–IMU sensor fusion, state estimation, calibration, and time synchronization.","Strong knowledge of geometric computer vision, including feature tracking, optical flow, pose estimation, triangulation, and visual localization.","Experience deploying perception or navigation capabilities on UAS/UAVs or other autonomous robotic platforms.","Strong C++ development skills and experience working in Linux environments.","Preferred qualifications:","Experience with NVIDIA Jetson, Orin, or similar embedded-compute platforms.","Experience optimizing perception workloads using CUDA, TensorRT, or comparable acceleration technologies.","Hands-on experience with GStreamer, V4L2, camera pipelines, and real-time video processing.","Experience deploying containerized software to embedded platforms using Docker.","Experience with vision-based navigation, geo-localization, or map matching using satellite, aerial, or orthophoto imagery.","Familiarity with frameworks and libraries such as OpenVINS, VINS-Fusion, ORB-SLAM3, GTSAM, Ceres Solver, OpenCV, or Kalibr.","#LI-LD2","#LD","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-27T16:33:36.541Z","date_posted":null,"valid_through":null},{"id":"shieldai-b682f55e-ca09-444b-8251-38422567ada8","url":"https://roboticjobs.ai/jobs/shieldai-b682f55e-ca09-444b-8251-38422567ada8","employer_url":"https://jobs.lever.co/shieldai/b682f55e-ca09-444b-8251-38422567ada8","title":"Software Engineer II, Autonomy Behaviors (R5202)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Boston, Massachusetts","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":["C++"],"advertised_pay":"$131,921 – $197,881","compensation":[{"min":131921,"max":197881,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $131,921 – $197,881 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What You'll Do:","Implement tactical autonomy software features that enable unmanned platforms to perform complex missions across air, land, sea, and space domains","Develop and test behaviors supporting coordination, target engagement, reconnaissance, and survivability in contested scenarios","Participate in the software development lifecycle, including implementation, testing, debugging, and supporting verification and validation efforts","Collaborate with senior engineers to integrate software components with broader system elements (e.g., sensor processing, communications, and actuation)","Write clean, maintainable, and well-tested code following established engineering standards and team practices","Support integration and testing across simulation and real-world environments","Work with cross-functional teams to understand requirements and support successful feature delivery","Continue building expertise in software engineering, autonomy, and robotics systems","Travel up to 20% to support testing, integration, and collaboration with partner teams","Required Qualifications:","BS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Experience in production-level C++ software development","2-3 years of experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, release management","Ability to contribute to the design, development, and integration of complex software systems as part of a multi-disciplinary team","Demonstrated problem-solving skills and ability to learn new technologies in a fast-paced environment","Willingness to collaborate closely with teammates and support team objectives","Interest in growing technical skills and, over time, providing guidance to more junior engineers","Desire to work in a highly collaborative, fast paced, and mission-driven environment","Eligible to obtain and maintain an active U.S. Secret security clearance","Preferred Qualifications:","Exposure to systems operating at different technology readiness levels (TRLs) through academic, research, or internship experience","Experience in the delivery of a military mission system","Familiarity with mission systems integration concepts, testing, or demonstrations","Experience (academic or project-based) in one or more of the following areas:","Motion planning, behavior planning, or multi-agent coordination","Expose to autonomy, control, or decision-making systems","Safety mechanisms such as collision avoidance or constraint enforcement","Familiarity with robotic software tools (e.g., ROS, OMPL, or similar frameworks)","Experience using simulation environments for development or testing","Basic understanding of navigation and/or communications systems","Awareness of the software or systems development lifecycle","Familiarity with systems engineering fundamentals","Exposure to high-assurance or safety-critical software concepts (e.g., DO-178C or similar)","Employer-disclosed pay range: $131,921 – $197,881 USD per year.","#LB","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-04-30T20:22:42.711Z","date_posted":null,"valid_through":null},{"id":"shieldai-bb87c070-f5bb-41ea-80e5-76e6f7f07a4e","url":"https://roboticjobs.ai/jobs/shieldai-bb87c070-f5bb-41ea-80e5-76e6f7f07a4e","employer_url":"https://jobs.lever.co/shieldai/bb87c070-f5bb-41ea-80e5-76e6f7f07a4e","title":"Senior Staff Software Engineer, Autonomous Pilot Integration (R5402)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Mateo, California","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$280,512 – $420,768","compensation":[{"min":280512,"max":420768,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $280,512 – $420,768 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does.","At this level, you'll own the technical direction across multiple programs — driving the autonomy reference implementation and common patterns that portfolios adopt, anticipating where the autonomy stack needs to evolve, adapting as programs and priorities shift, and aligning with engineering leadership early. You'll serve as the subject-matter expert other teams seek out on hard, ambiguous problems in unknown solution spaces; mentor senior engineers and other team leads; drive cross-team improvements in rigor and process; and represent the team to engineering leadership, customer/program offices, and standards bodies.","Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.","What You'll Do:","Develop & Field Autonomy — Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces — and own the technical direction across a set of related programs, driving the autonomy reference implementation and common patterns that keep delivery coherent across portfolios.","Technical Strategy & Leadership — Set the technical direction across multiple programs; drive the autonomy reference implementation and common patterns that portfolios adopt; anticipate where the stack needs to go and adapt as priorities shift; align with engineering leadership early and maintain outward status; serve as the subject-matter expert that the broader org reaches for when hard, ambiguous problems in unknown solution spaces land on the team.","Collaboration & Cross-Engineering Influence — Build effective working relationships across engineering; represent the team to engineering leadership, customer/program offices, standards bodies, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); shape architecture decisions beyond the team.","Mentorship & Growth — Mentor senior engineers and other team leads; provide cross-functional mentorship to engineers in adjacent departments; help shape the leveling and career bar for the team and the broader engineering organization.","Design & Documentation — Drive cross-functional design reviews, architecture documents, and post-mortems across many teams; publish content that informs decisions beyond the team; set the rigor and process bar for the broader engineering org.","Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.","On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.","Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.","Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.","C2 Interoperability & Standards — Set the strategy for C2 interoperability across our portfolio; shape interface evolution with internal and external stakeholders; own implementation and compliance against command-and-control standards (e.g., A-GRA, UCI, OMS).","Hiring — Define the skills bar and hiring strategy for senior roles in your area; partner with managers on long-term staffing plans; assess candidates accurately and onboard new senior engineers.","Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).","Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.","Experience with autonomy simulation environments for testing and validation.","Demonstrated experience leading multiple teams or driving cross-program technical initiatives from concept through fielded delivery.","Track record as the subject-matter expert sought across engineering on hard, ambiguous problems in unknown solution spaces in your discipline.","Track record of setting forward-looking technical strategy and adjusting course as programs and priorities evolve.","Track record of mentoring senior engineers and team leads, and shaping the career bar for the discipline.","Experience shaping architecture decisions, interface contracts, and standards across multiple teams.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.","Proficiency in Python for scripting, automation, and analysis.","Experience leading multiple programs or driving cross-program technical initiatives in an unmanned systems context.","Experience interfacing with customers and external stakeholders, representing the company in technical engagements, briefing senior leadership, and presenting to non-technical audiences.","Track record of improvements that span the broader engineering organization (process, architecture, technical bar, or platform-wide tooling).","Familiarity with autonomy stacks, motion planning, or vehicle-control integration.","Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.","Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.","Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).","Proficiency in developing automation tools for system testing, logging, and data parsing.","Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with C2 standards such as A-GRA, UCI, or OMS.","Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.","Employer-disclosed pay range: $280,512 – $420,768 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-01T15:18:50.170Z","date_posted":null,"valid_through":null},{"id":"shieldai-c223a9c5-e3b3-4da1-b523-1b1045bdf296","url":"https://roboticjobs.ai/jobs/shieldai-c223a9c5-e3b3-4da1-b523-1b1045bdf296","employer_url":"https://jobs.lever.co/shieldai/c223a9c5-e3b3-4da1-b523-1b1045bdf296","title":"Senior Software Engineer, Autonomy Applications Engineering","employer":{"id":"shieldai","name":"Shield AI"},"location":"New Delhi","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Senior Software Engineer, Autonomy Applications Engineering will provide collaborate with customers to help them enable edge-AI and autonomy to platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration.","WHAT YOU'LL DO:","Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.","Develop AI & Autonomy software capabilities using Hivemind for unmanned platforms across air/sea/space.","Examples of Projects You will Work On:","Autonomous teaming drones.","Teaming between helicopters and drones.","Autonomy on Robodogs.","AI Pilots for Fighter Jets","and more that we aren’t allowed to publicly share!","Enable customers to integrate Hivemind autonomy to their vehicles/platforms.","Debug software/API integration issues.","Deploy Hivemind AI infrastructure at customer sites.","Provide technical training to customers for their autonomy development efforts.","Collaborate with the product and engineering teams to address customer feedback and improve products.","Develop and maintain technical documentation","Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel).","Examples of Projects You will Work On:","Autonomous teaming drones.","Teaming between helicopters and drones.","Autonomy on Robodogs.","AI on Fighter Jets… and more that we aren’t allowed to publicly share!","REQUIRED QUALIFICATIONS:","Bachelor’s degree in Engineering, Computer Science, or a related field.","4+ years of experience of industry experience or 2+ years of experience plus a master's degree.","Ability to travel and stay deployed at customer sites across India.","3+ years of experience in an integration/applications engineering role.","2+ years of experience working in a startup environment.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Intermediate proficiency in writing Python code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Ability converse fluently in Hindi and English.","PREFFERED QUALIFICATIONS:","Ability to travel to USA for up to 3 months at a time for training.","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-09-30T07:41:17.061Z","date_posted":null,"valid_through":null},{"id":"shieldai-c5e77544-8b32-4f20-a573-dcaeedba7cf1","url":"https://roboticjobs.ai/jobs/shieldai-c5e77544-8b32-4f20-a573-dcaeedba7cf1","employer_url":"https://jobs.lever.co/shieldai/c5e77544-8b32-4f20-a573-dcaeedba7cf1","title":"Chief Engineer, Autonomy — Space Domain (R5150)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":[],"advertised_pay":"$210,880 – $316,320","compensation":[{"min":210880,"max":316320,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $210,880 – $316,320 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy — Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products.","This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo.","This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments.","What You'll Do:","Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence.","Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources.","Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands.","Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources.","Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications.","Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows.","Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery.","Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications.","Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines.","Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events.","Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and—in applicable programs—on-orbit validation.","Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action.","Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments.","Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance.","Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts.","Required Qualifications:","Bachelor’s degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred.","12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields.","Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes.","Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements.","Demonstrated technical depth in several of the following:","Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination.","Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures.","Multi-orbit/multi-constellation tasking and resource management.","Embedded, edge, ground, cloud, and hybrid compute architectures.","On-board data processing, sensor fusion, payload control, and communication-aware autonomy.","ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation.","Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration.","Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management.","Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control.","Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners.","Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews.","Preferred Qualifications:","Experience with national security, defense, intelligence, civil-government, or commercial-space programs.","Experience moving mission autonomy from prototype or research environments into sustained operational use.","Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response.","Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems.","Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions.","Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements.","Employer-disclosed pay range: $210,880 – $316,320 USD per year.","#LI-DS5","#LF","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-22T18:08:46.047Z","date_posted":null,"valid_through":null},{"id":"shieldai-ca9c2a51-fc9c-4258-a420-85b9a97b28b3","url":"https://roboticjobs.ai/jobs/shieldai-ca9c2a51-fc9c-4258-a420-85b9a97b28b3","employer_url":"https://jobs.lever.co/shieldai/ca9c2a51-fc9c-4258-a420-85b9a97b28b3","title":"Senior Engineer, Software Autonomy Applications (R4829)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Tokyo","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments.","In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities.","This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site.","What you'll do:","Deploy with customers on site globally (~50% travel) to support software integration and development activities.","Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.","Provide technical support and training to customers on use of Hivemind.","Develop AI & Autonomy applications using the Shield AI enterprise software development kit.","Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions","Assist in post-sales deployment and integration of Shield AI enterprise software products.","Develop and maintain technical documentation and training materials.","Help customers debug software/API integration issues.","Collaborate with the product engineering team to address customer feedback and improve products.","Required qualifications:","Bachelor’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience, OR","Master’s degree in Engineering, Computer Science, or a related field, and 3+ years of industry experience.","Strong technical background in software engineering.","Strong proficiency in writing modern C++ code.","Excellent problem-solving and analytical skills.","Strong communication and interpersonal skills.","Preferred qualifications:","Experience in the defense, aviation, or robotics industry.","Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer.","Experience operating in a fast-paced, startup-like, environment.","Advanced technical degree, especially in robotics or autonomy related fields","#LI-FB1","#LC","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-04-18T00:08:54.208Z","date_posted":null,"valid_through":null},{"id":"shieldai-cc7f8c05-cff0-4222-9319-db05c7d544f3","url":"https://roboticjobs.ai/jobs/shieldai-cc7f8c05-cff0-4222-9319-db05c7d544f3","employer_url":"https://jobs.lever.co/shieldai/cc7f8c05-cff0-4222-9319-db05c7d544f3","title":"Senior Software Engineer, Autonomy Capabilities – Space (R5338)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Boston, Massachusetts","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$160,000 – $240,000","compensation":[{"min":160000,"max":240000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $160,000 – $240,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","About the Job:","Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs. In many cases, the capabilities you will develop are at the cutting-edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial.","As a Senior Software Engineer, you’ll build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment. You’ll work across teams to turn complex mission needs into reliable, scalable software, balancing near-term delivery with long-term maintainability and performance. In this role, you’ll play a critical part in shaping how autonomy capabilities are designed, integrated, and evolved across our platforms.","What You'll Do:","Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellite coordinated missions","Weapons Target Assignment – Employ cutting edge approaches for weapons target assignment and motion planning for fleets of space vehicles and interceptors that have critical roles in our national defense","Advance the State of the Art – Pioneer advanced topics in low-SWaP optimal control, tactical behavior management in cooperative and adversarial contexts, and information-aware planning","Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms","Deployment & Test Support – Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect","R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)","Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment","Ability to obtain a SECRET clearance or higher","Preferred Qualifications:","Experience in multiple aerospace domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Employer-disclosed pay range: $160,000 – $240,000 USD per year.","#LC","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-05T19:38:32.637Z","date_posted":null,"valid_through":null},{"id":"shieldai-ccddd964-0a35-4650-9690-28d54b690298","url":"https://roboticjobs.ai/jobs/shieldai-ccddd964-0a35-4650-9690-28d54b690298","employer_url":"https://jobs.lever.co/shieldai/ccddd964-0a35-4650-9690-28d54b690298","title":"Senior Software Engineer, Autonomy Behaviors (R4588)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Boston, Massachusetts","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++"],"advertised_pay":"$163,200 – $244,800","compensation":[{"min":163200,"max":244800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $163,200 – $244,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What You'll Do:","Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with limited human supervision","Implement and test behaviors supporting multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios","Contribute across the software development lifecycle, including requirements, design, implementation, verification, and validation, following established engineering best practices","Collaborate with senior engineers to design and build scalable, maintainable software components that integrate with broader system architecture (e.g., sensor processing, state estimation, communications, and actuation)","Support reuse and extensibility of autonomy behaviors by contributing to shared frameworks and codebases","Work with internal product and program teams to deliver capabilities to vehicle platforms, helping ensure successful integration and iteration over time","Collaborate with cross-functional and external teams to align on interfaces and system requirements","Apply strong software engineering fundamentals to solve complex technical problems, while continuing to grow domain expertise in autonomy and robotics systems","Travel up to 20% to support integration, testing, and collaboration with end-users and partner teams","Required Qualifications:","BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field","Proficient in production-level C++ software development","5+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls","Experience with collaborative software development tools for version control, issue tracking, code reviews, release management","Ability to contribute to the design, development, and integration of complex software systems as part of a multi-disciplinary team","Demonstrated problem-solving skills and ability to learn new technologies in a fast-paced environment","Willingness to collaborate closely with teammates and support team objectives","Interest in growing technical skills and, over time, providing guidance to more junior engineers","Desire to work in a highly collaborative, fast paced, and mission-driven environment","Eligible to obtain and maintain an active U.S. Secret security clearance","Preferred Qualifications:","Experience working with systems at one or more technology readiness levels (TRLs), including supporting the maturation of research concepts toward operational use","Experience with mission systems integration, including participation in integration events, testing, or demonstrations","Experience in one or more of the following areas:","Collaborative mission planning, behavior planning, or coordinated teaming","Motion planning across different vehicle types or constraints","Sensor/target pairing, control strategies, or related autonomy functions","Safety systems such as collision avoidance or geofencing","Experience with robotic software ecosystems (e.g., ROS, OMPL, optimization tools)","Experience with simulation tools for testing and validation","Familiarity with navigation and communications systems","Experience contributing to portions of the product development lifecycle","Familiarity with systems engineering principles","Familiarity with high-assurance software practices (e.g., DO-178C or similar standards)","Employer-disclosed pay range: $163,200 – $244,800 USD per year.","#LC","#LI-ED1","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-04-30T20:27:44.845Z","date_posted":null,"valid_through":null},{"id":"shieldai-cd2da1f3-502e-44cd-9bea-38ffd09c4413","url":"https://roboticjobs.ai/jobs/shieldai-cd2da1f3-502e-44cd-9bea-38ffd09c4413","employer_url":"https://jobs.lever.co/shieldai/cd2da1f3-502e-44cd-9bea-38ffd09c4413","title":"Senior Staff Software Engineer, Autonomous Pilot Integration (R5193)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":"$233,760 – $350,640","compensation":[{"min":233760,"max":350640,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $233,760 – $350,640 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does.","At this level, you'll own the technical direction across multiple programs — driving the autonomy reference implementation and common patterns that portfolios adopt, anticipating where the autonomy stack needs to evolve, adapting as programs and priorities shift, and aligning with engineering leadership early. You'll serve as the subject-matter expert other teams seek out on hard, ambiguous problems in unknown solution spaces; mentor senior engineers and other team leads; drive cross-team improvements in rigor and process; and represent the team to engineering leadership, customer/program offices, and standards bodies.","Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.","What You'll Do:","Develop & Field Autonomy — Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces — and own the technical direction across a set of related programs, driving the autonomy reference implementation and common patterns that keep delivery coherent across portfolios.","Technical Strategy & Leadership — Set the technical direction across multiple programs; drive the autonomy reference implementation and common patterns that portfolios adopt; anticipate where the stack needs to go and adapt as priorities shift; align with engineering leadership early and maintain outward status; serve as the subject-matter expert that the broader org reaches for when hard, ambiguous problems in unknown solution spaces land on the team.","Collaboration & Cross-Engineering Influence — Build effective working relationships across engineering; represent the team to engineering leadership, customer/program offices, standards bodies, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); shape architecture decisions beyond the team.","Mentorship & Growth — Mentor senior engineers and other team leads; provide cross-functional mentorship to engineers in adjacent departments; help shape the leveling and career bar for the team and the broader engineering organization.","Design & Documentation — Drive cross-functional design reviews, architecture documents, and post-mortems across many teams; publish content that informs decisions beyond the team; set the rigor and process bar for the broader engineering org.","Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.","On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.","Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.","Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.","C2 Interoperability & Standards — Set the strategy for C2 interoperability across our portfolio; shape interface evolution with internal and external stakeholders; own implementation and compliance against command-and-control standards (e.g., A-GRA, UCI, OMS).","Hiring — Define the skills bar and hiring strategy for senior roles in your area; partner with managers on long-term staffing plans; assess candidates accurately and onboard new senior engineers.","Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).","Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.","Experience with autonomy simulation environments for testing and validation.","Demonstrated experience leading multiple teams or driving cross-program technical initiatives from concept through fielded delivery.","Track record as the subject-matter expert sought across engineering on hard, ambiguous problems in unknown solution spaces in your discipline.","Track record of setting forward-looking technical strategy and adjusting course as programs and priorities evolve.","Track record of mentoring senior engineers and team leads, and shaping the career bar for the discipline.","Experience shaping architecture decisions, interface contracts, and standards across multiple teams.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.","Proficiency in Python for scripting, automation, and analysis.","Experience leading multiple programs or driving cross-program technical initiatives in an unmanned systems context.","Experience interfacing with customers and external stakeholders, representing the company in technical engagements, briefing senior leadership, and presenting to non-technical audiences.","Track record of improvements that span the broader engineering organization (process, architecture, technical bar, or platform-wide tooling).","Familiarity with autonomy stacks, motion planning, or vehicle-control integration.","Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.","Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.","Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).","Proficiency in developing automation tools for system testing, logging, and data parsing.","Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with C2 standards such as A-GRA, UCI, or OMS.","Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.","Employer-disclosed pay range: $233,760 – $350,640 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-08T15:12:45.497Z","date_posted":null,"valid_through":null},{"id":"shieldai-cfc41052-1dd6-47d7-b377-3e629a991d45","url":"https://roboticjobs.ai/jobs/shieldai-cfc41052-1dd6-47d7-b377-3e629a991d45","employer_url":"https://jobs.lever.co/shieldai/cfc41052-1dd6-47d7-b377-3e629a991d45","title":"Senior Staff Software Engineer, Autonomous Pilot Integration –  Emerging Domains (R5398)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$233,760 – $350,640","compensation":[{"min":233760,"max":350640,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $233,760 – $350,640 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.","In this role, you'll define the technical direction for Emerging Domains, guiding autonomy strategy across multiple new platforms and mission areas while helping transform early-stage R&D efforts into scalable, long-term programs. You'll solve the organization's most complex technical challenges, influence engineering strategy across organizations, and partner with engineering leadership, platform teams, and customer stakeholders to shape the future of Shield AI's next generation of autonomy portfolios.","What You'll Do:","Stand Up New Programs – Define the technical strategy for establishing autonomy on entirely new platforms and mission areas, determining what should be built, reused, or extended from existing Shield AI capabilities.","Navigate Ambiguity & Shifting Priorities – Lead engineering through evolving customer needs, changing priorities, and uncertain technical landscapes while maintaining execution and long-term technical vision.","Technical Strategy & Portfolio Leadership – Define long-term technical direction across Emerging Domains, establishing architecture, integration strategies, and engineering patterns that enable successful transition from R&D to operational programs.","Develop & Field Autonomy– Guide development and deployment of autonomy capabilities across space, maritime, contested logistics, and future emerging platforms while ensuring successful operational delivery.","Platform Team Partnerships – Build deep technical partnerships with platform organizations and influence interface evolution, integration strategy, and long-term platform architecture.","Collaboration Across Teams & Partners – Influence architecture across Autonomy Capabilities, Perception, GCS, platform teams, engineering leadership, customer organizations, and external partners.","Design & Documentation – Lead architecture reviews, engineering standards, ICDs, and technical best practices across multiple organizations.","Pre-deployment Preparation – Guide release strategy, mission validation, and operational readiness across multiple emerging programs.","On-site Test & Mission Support – Provide senior technical leadership during critical demonstrations, operational exercises, and customer events where deep systems expertise is required.","Hardware/Software Debugging – Lead resolution of the organization's most challenging autonomy integration problems spanning software, hardware, embedded systems, and platform interfaces.","Mission Data & Debrief Support – Drive organizational learning from operational testing and shape future technical investments based on mission outcomes.","Continuous Improvement– Drive long-term improvements to engineering processes, developer experience, testing infrastructure, and integration workflows across the Emerging Domains portfolio.","C2 Interoperability & Standards– Define technical strategy for command-and-control interoperability and guide adoption of platform-appropriate open-systems standards across emerging programs.","Grow R&D into Programs – Partner with engineering leadership and customers to evolve successful R&D efforts into scalable, long-term programs while helping shape technical strategy for future portfolios.","Hiring & Developing Technical Talent – Help define the technical hiring bar for senior engineering roles, mentor future technical leaders, and partner with managers to grow organizational capability.","Travel Requirement– Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience.","Expert-level C++ and Linux systems development experience.","Demonstrated experience defining technical strategy across multiple programs or engineering organizations.","Proven track record solving highly complex systems integration challenges in ambiguous environments.","Experience mentoring senior engineers and influencing engineering direction without formal authority.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience leading first-of-kind autonomy or advanced R&D efforts.","Experience across multiple autonomy domains (air, maritime, space, ground, or robotics).","Experience transitioning prototypes into operational systems.","Experience with government R&D programs and defense customers.","Experience shaping engineering practices across an organization.","Experience with UCI, OMS, STANAG 4586, or other defense interoperability standards.","Employer-disclosed pay range: $233,760 – $350,640 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T20:03:32.918Z","date_posted":null,"valid_through":null},{"id":"shieldai-cfceea3e-535a-4daa-b981-ae25746d285b","url":"https://roboticjobs.ai/jobs/shieldai-cfceea3e-535a-4daa-b981-ae25746d285b","employer_url":"https://jobs.lever.co/shieldai/cfceea3e-535a-4daa-b981-ae25746d285b","title":"Staff Software Engineer, Autonomous Pilot Integration – Expeditionary (R5208)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$195,200 – $292,800","compensation":[{"min":195200,"max":292800,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $195,200 – $292,800 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers.","In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, mission autonomy, and operational deployment. You'll own some of the team's most challenging technical problems—from defining flight-autonomy interfaces and integrating advanced payloads to driving mission readiness for customer releases. You'll influence technical direction across multiple subsystems while partnering closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), feature crews, and customer stakeholders.","You'll combine deep technical expertise with systems thinking to drive successful integration across software, hardware, and operations while mentoring engineers and improving engineering practices across the Expeditionary portfolio.","What You'll Do:","Lead Technical Delivery – Lead the technical execution of complex autonomy capabilities from architecture through field deployment, coordinating work across multiple engineering teams.","Develop & Field Autonomy– Drive integration of mission autonomy, payloads, flight-control interfaces, executive autonomy, and multi-agent behaviors onto V-BAT and X-BAT.","Aircraft Team Partnership – Serve as a primary technical partner to the Aircraft team, defining integration approaches, resolving interface issues, and ensuring mission readiness.","Cross-Team Technical Leadership – Partner across Aircraft, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), and feature crews to solve complex systems integration challenges.","Systems Architecture & Integration – Influence architecture, interface design, and integration strategy across multiple subsystems.","Design & Engineering Excellence – Lead design reviews, contribute to ICDs, mentor engineers, and improve engineering rigor.","Mission Readiness & Field Support – Drive release readiness while supporting flight tests, customer demonstrations, and operational deployments.","Continuous Improvement – Improve integration workflows, testing infrastructure, and engineering productivity.","C2 Interoperability & Standards – Drive implementation of GCS and C2 interfaces using common open-systems standards.","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent experience.","7+ years of relevant experience.","Expert C++ and Linux development experience.","Experience leading complex autonomy or embedded software integration efforts.","Experience influencing technical direction across multiple engineering teams.","Experience supporting operational test events or customer deployments.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience with Group 3 UAS or VTOL aircraft.","Experience with custom autopilot integration.","EO/IR or ViDAR integration.","Long-endurance ISR missions.","Docker, ARM embedded systems, and CI/CD experience.","Experience mentoring engineers and leading technical initiatives.","Employer-disclosed pay range: $195,200 – $292,800 USD per year.","#LI-ED1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:34:11.163Z","date_posted":null,"valid_through":null},{"id":"shieldai-d13bae60-fb7d-49ea-9d9d-b777efd95d2c","url":"https://roboticjobs.ai/jobs/shieldai-d13bae60-fb7d-49ea-9d9d-b777efd95d2c","employer_url":"https://jobs.lever.co/shieldai/d13bae60-fb7d-49ea-9d9d-b777efd95d2c","title":"Staff Engineer, Autonomy Behaviors","employer":{"id":"shieldai","name":"Shield AI"},"location":"Bangalore","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Staff Software Engineers on the Autonomy Behaviors team will lead the delivery of autonomous behaviors into our products, acting as technical leads, extremely senior individual contributors, and/or as team leads that are also hands-on contributors. We expect Staff Engineers to demonstrate unparalleled end-to-end outcome ownership, driving the architecting, design, delivery, support, and evolution of safe and effective mission autonomy software throughout the entire product lifecycle.","Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision.","Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.","Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development.","Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios.","Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing).","Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time.","Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.)","Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership.","Travel to co-locate with end-users and/or other teams up to 20% of the time","Required Qualifications:","BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field.","Proficient in production-level C++ software development.","7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls.","Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management.","Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment.","Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity.","Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment.","Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution.","Preferred Qualifications:","Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready","Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations","Experience across a multitude of application areas, including but not limited to:","Collaborative mission planning, behavior planning, synchronized teaming.","Automated red force vs blue force tactics.","Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions.","Weapons target assignment, Sensor target pairing, sensor-centric control laws.","Collision avoidance, geofencing, and safety-monitoring.","Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.)","Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Familiarity with practical aspects of navigation and communications systems.","Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment.","Familiarity with systems engineering methodologies.","Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's).","Total package details for U.S. based positions:","- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity","- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days","of employment)","- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity","Total package details for International positions which are roles based outside of the United States (where applicable):","- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer","allowance, equity, international benefits, visa assistance, and relocation assistance.","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-09T12:16:51.103Z","date_posted":null,"valid_through":null},{"id":"shieldai-d345caad-82d3-4d53-ba5f-c93882547f09","url":"https://roboticjobs.ai/jobs/shieldai-d345caad-82d3-4d53-ba5f-c93882547f09","employer_url":"https://jobs.lever.co/shieldai/d345caad-82d3-4d53-ba5f-c93882547f09","title":"Senior Staff Engineer, Autonomy Behaviors (R5363)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$233,760 – $350,640","compensation":[{"min":233760,"max":350640,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $233,760 – $350,640 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","What you'll do:","Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.","High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.","Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.","Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.","Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.","Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.","R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.","Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.","Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.","Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience applying ML/RL techniques in autonomy pipelines.","Background in collaborative behaviors, swarm robotics, or distributed decision-making.","Familiarity with tactical behaviors for unmanned systems in DoD or government programs.","Work on behaviors applicable across air, ground, and maritime vehicles.","Hands-on experience supporting flight demos or live exercises.","Experience with UCI and OMS Standards","Employer-disclosed pay range: $233,760 – $350,640 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2025-08-15T17:46:29.660Z","date_posted":null,"valid_through":null},{"id":"shieldai-d5006f31-a431-456b-b2f3-72b527a1b125","url":"https://roboticjobs.ai/jobs/shieldai-d5006f31-a431-456b-b2f3-72b527a1b125","employer_url":"https://jobs.lever.co/shieldai/d5006f31-a431-456b-b2f3-72b527a1b125","title":"Engineer II, Autonomy (R5713)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Melbourne","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","We’re on the lookout for an experienced Staff Engineer, Autonomy to join our Hivemind Solutions team and help design, build, and deploy real-world autonomous capabilities for uncrewed systems. This is a hands-on engineering role, blending software development with robotics, perception, and path planning. You’ll be joining a high-performing team shaping the future of AI pilots for solving real-world problems.","If you’re a capable C++ developer with a passion for robotics and autonomy, this is your chance to make a real impact.","What you'll do:","As an Autonomy Engineer, you’ll work at the intersection of artificial intelligence, task & motion planning and controls.","Design and implement autonomous behaviours for uncrewed aircraft.","Work with real sensor data and build robust sensor fusion solutions.","Develop and test autonomy systems in high-fidelity software and hardware in-the-loop simulations.","Integrate Shield AI autonomy products together with third-party aircraft and systems.","Collaborate across AI, robotics, and systems engineering teams to deliver integrated solutions.","Contribute to architecture, code quality, design reviews and best practices.","Lead and Mentor junior engineers","Required qualifications:","A tertiary level qualification in Computer Science, Mechatronics, Software Engineering, Aerospace, Robotics or a related field","Significant professional experience in robotics, autonomy, perception or aerospace systems","Strong experience in modern C++","Significant experience in building and delivering reliable software systems, ideally in fast-paced environments","Preferred qualifications:","Prior experience with uncrewed systems, especially in the air domain","Defence industry experience","Significant experience in one or more of the following domains:","State Estimation","Real-Time Systems","Guidance, Navigation and Control","Path Planning","#LB","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-09T19:58:54.221Z","date_posted":null,"valid_through":null},{"id":"shieldai-d6ddaa29-c0ad-40b3-8ef1-63831d6977e2","url":"https://roboticjobs.ai/jobs/shieldai-d6ddaa29-c0ad-40b3-8ef1-63831d6977e2","employer_url":"https://jobs.lever.co/shieldai/d6ddaa29-c0ad-40b3-8ef1-63831d6977e2","title":"Senior Engineer, Autonomy Software Integration (R6246)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$120,000 – $190,000","compensation":[{"min":120000,"max":190000,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $120,000 – $190,000 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you!","The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives.","We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications—ensuring our platform empowers customers to build reliable, mission-ready autonomous systems.","What you'll do:","Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack.","Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.","Understand the full system end-to-end—from sensor inputs to autonomous behaviors.","Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components.","Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms.","Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles.","Develop integration tooling & infrastructure: Implement integration framework, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments.","Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries.","Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging.","Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness.","Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.","Required qualifications:","Typically requires a minimum of 3-5 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 2 years and a master’s degree","Proficiency in programming languages including Python or C++.","Experience with autonomous systems or server applications or middleware.","Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.","Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments.","Strong expertise with CI/CD pipelines.","Strong problem-solving skills and a proven track record of delivering high-quality software solutions.","Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.","Preferred qualifications:","Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.","Experience with hardware or embedded systems.","Expert knowledge of Python.","Experience with ROS.","Experience with white box testing","Familiarity with networking, operating-systems, and radio communications.","Experience designing automated tooling for testing for GUI applications.","Experience designing automated tooling for testing server applications.","Employer-disclosed pay range: $120,000 – $190,000 USD per year.","#LI-DS5","#LC","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-10T03:00:10.127Z","date_posted":null,"valid_through":null},{"id":"shieldai-d989b35b-3bcb-4a73-b11c-1e53c4303d86","url":"https://roboticjobs.ai/jobs/shieldai-d989b35b-3bcb-4a73-b11c-1e53c4303d86","employer_url":"https://jobs.lever.co/shieldai/d989b35b-3bcb-4a73-b11c-1e53c4303d86","title":"Senior Staff Software Engineer, Autonomous Pilot Integration – Expeditionary (R5193)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$233,760 – $350,640","compensation":[{"min":233760,"max":350640,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $233,760 – $350,640 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers.","In this role, you'll own the technical direction for the Expeditionary portfolio, driving the evolution of autonomy architecture across V-BAT and X-BAT while ensuring scalable, mission-ready solutions that support current operators and future platforms. You'll define long-term technical strategy, solve the organization's most complex integration challenges, and influence the direction of autonomy software spanning mission behaviors, platform interfaces, payload integration, executive autonomy, and multi-agent operations.","You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), engineering leadership, customer/program offices, and operational users to ensure Expeditionary autonomy continues to evolve while remaining reliable in operational environments.","What You'll Do:","Technical Strategy & Portfolio Leadership – Define and drive the long-term technical direction for Expeditionary autonomy across V-BAT, X-BAT, and future platforms.","Develop & Field Autonomy – Guide development of mission autonomy, payload integration, flight-autonomy interfaces, executive autonomy, and multi-agent capabilities while ensuring successful operational deployment.","Aircraft Team Partnership – Establish long-term technical strategy with the Aircraft team for platform integration, interface evolution, and mission readiness.","Cross-Engineering Leadership – Influence architecture across the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), Aircraft, and customer organizations.","Subject Matter Expertise – Serve as the organization's technical expert for complex autonomy integration challenges spanning software, hardware, and operations.","Design & Engineering Excellence– Lead architecture reviews, engineering standards, interface definitions, and organization-wide technical improvements.","Mentorship & Organizational Growth – Mentor senior engineers, develop technical leaders, contribute to leveling frameworks, and partner on senior hiring.","Mission Readiness & Operational Excellence – Guide customer releases, deployment strategy, and mission validation while supporting critical operational events.","Continuous Improvement – Drive long-term improvements to engineering processes, integration workflows, testing infrastructure, and developer experience.","C2 Interoperability & Open Systems – Define technical strategy for command-and-control interoperability and adoption of open-systems standards.","Hiring & Developing Technical Talent – Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities.","Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.","Required Qualifications:","BS/MS in a relevant engineering discipline or equivalent experience.","10+ years of relevant experience.","Expert-level C++ and Linux systems development experience.","Demonstrated experience defining technical strategy across multiple engineering teams or programs.","Proven track record influencing architecture and solving highly complex systems integration challenges.","Experience mentoring senior engineers and driving engineering excellence.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Extensive experience with Group 3 UAS, VTOL platforms, or comparable autonomous systems.","Experience defining flight-autonomy interfaces or custom autopilot integrations.","Experience deploying autonomy to operational military systems.","Experience with international defense customers.","Experience with STANAG 4586, UCI, OMS, and open-systems architectures.","Experience shaping engineering practices across an organization.","Employer-disclosed pay range: $233,760 – $350,640 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-21T19:37:07.227Z","date_posted":null,"valid_through":null},{"id":"shieldai-df6458c2-8706-493d-8590-17b21608cb4a","url":"https://roboticjobs.ai/jobs/shieldai-df6458c2-8706-493d-8590-17b21608cb4a","employer_url":"https://jobs.lever.co/shieldai/df6458c2-8706-493d-8590-17b21608cb4a","title":"Senior Staff Engineer, Autonomy Capabilities – Maritime (R5363)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$220,800 – $331,200","compensation":[{"min":220800,"max":331200,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $220,800 – $331,200 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.","This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.","About the Job:","Focusing on the maritime portfolio, you’ll be creating autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions beyond conventional motion planning and waypoint following. The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics to search for, localize, and pursue targets while avoiding sensed threats and obstacles that pose a risk to platform safety. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.","As a Senior Staff Engineer, you will lead the technical direction for the portfolio, driving the evolution of autonomy capabilities and architectures across multiple programs. At this level, you’ll combine your deep technical expertise and systems level thinking to not only provide capabilities that meet the needs of the now, but to anticipate the needs of the future to ensure long-term portfolio success. You’ll take an active role in mentoring engineers across the organization and be a key expert that leadership leans-on for decomposing ambiguous customer needs into tangible design approaches.","What you'll do:","Robust Motion Planning – Automate unmanned surface vehicle (USV) and/or unmanned underwater vehicle (UUV) maneuvering through advanced motion planning and adherence to safety constraints including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations","Localization and Tracking – Employ cutting edge approaches for passive and active localization by defining fusion modalities, sensor requirements, and observability-aware maneuvering capabilities to maximize information gleaned from single- or multi-agent sensor networks","Safe Maritime Operations – Keep vehicle safety as a central focus within autonomous behavior architectures to provide run-time assurance, ensure COLREGS adherence, and build operator trust in advanced mission autonomy","Heterogeneous Multi-Agent Collaboration – Develop distributed optimization and task allocation approaches for heterogenous teaming in order to accomplish mission objectives by maximally utilizing the diverse capabilities of agents to overall team advantage","Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions","Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms","Deployment & Test Support – Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect","R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission","Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events).","Required Qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.","Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)","Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Ability to obtain a SECRET clearance.","Preferred Qualifications:","Experience in multiple aerospace domains (e.g., air, land, sea, space)","Experience across a breadth of methodologies from classical control through optimization and applied ML/RL","Background in collaborative behaviors and swarm robotics","Familiarity with domain-relevant DoD or government programs","Hands-on experience supporting integration events, customer demos, and/or live exercises","Employer-disclosed pay range: $220,800 – $331,200 USD per year.","#LI-ED1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-26T15:59:16.878Z","date_posted":null,"valid_through":null},{"id":"shieldai-e6ca46cf-f820-480c-927f-da1ca7912e80","url":"https://roboticjobs.ai/jobs/shieldai-e6ca46cf-f820-480c-927f-da1ca7912e80","employer_url":"https://jobs.lever.co/shieldai/e6ca46cf-f820-480c-927f-da1ca7912e80","title":"Senior Systems Engineer - Autonomy & Software","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["The Systems Engineer, Autonomy & Software at Shield AI is responsible for solving complex systems engineering challenges associated with the development, integration, and deployment of advanced autonomous systems for defense applications.","This role sits at the intersection of systems engineering, software engineering, and autonomy. The Systems Engineer works across multidisciplinary engineering teams to translate mission and customer needs into system requirements, architectures, interfaces, and verification strategies while maintaining a deep technical understanding of the software and autonomy capabilities being delivered.","The ideal candidate has a strong background in software and autonomy, is comfortable developing and debugging software in C++ and Python, and has significant experience applying systems engineering principles within complex defense programs. They should be equally comfortable working at the system level and diving into technical implementation when required.","What you’ll do","Apply systems engineering principles to the development and integration of autonomous systems for defense applications.","Translate operational needs, mission objectives, and customer requirements into clear system, subsystem, software, and autonomy requirements.","Develop and maintain system architectures, functional decompositions, interface definitions, Interface Control Documents, requirements traceability, and verification strategies.","Work closely with autonomy, software, guidance, navigation and control, avionics, hardware, test, and platform engineering teams to ensure successful system integration.","Define and manage interfaces between Hivemind Autonomy, vehicle systems, mission systems, sensors, communications, payloads, and external systems.","Maintain a strong understanding of the underlying autonomy and software architecture, including how system level requirements translate into software behavior and implementation.","Develop software, prototypes, analysis tools, test infrastructure, and engineering utilities using C++ and Python when required to solve integration and system level engineering problems.","Use code, simulation, logs, telemetry, and other engineering data to investigate system behavior, diagnose failures, validate assumptions, and support technical decision making.","Lead and support system integration activities across simulation, software in the loop, hardware in the loop, ground test, and flight test environments.","Required Qualifications","BS or MS in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Systems Engineering, Robotics, or a related technical discipline.","5+ years of experience developing, integrating, or delivering complex software intensive systems, preferably within aerospace, defense, robotics, or autonomous systems.","Strong software engineering background with hands on experience developing and debugging software in C++ and Python.","Experience with autonomous or robotic systems, including familiarity with areas such as perception, planning, estimation, guidance, navigation, controls, or mission autonomy.","Strong understanding of systems engineering principles and their application to complex defense systems.","Experience developing and managing system and subsystem requirements, including requirements decomposition, allocation, traceability, and verification.","Experience developing system architectures, functional architectures, interface definitions, Interface Control Documents, and other system level engineering artifacts."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-09-09T21:11:41.667Z","date_posted":null,"valid_through":null},{"id":"shieldai-e8311cd4-6b45-473b-abba-c9cfdcac615e","url":"https://roboticjobs.ai/jobs/shieldai-e8311cd4-6b45-473b-abba-c9cfdcac615e","employer_url":"https://jobs.lever.co/shieldai/e8311cd4-6b45-473b-abba-c9cfdcac615e","title":"Senior Staff Software Engineer, Perception (R4985)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Washington, D.C.","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$233,760 – $350,640","compensation":[{"min":233760,"max":350640,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $233,760 – $350,640 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.","In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms.","What You'll Do:","Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems.","Data Pipelines & Model Training – Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks.","Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks.","Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments.","Research-to-Production – Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability.","Cross-functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems.","Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements.","Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery.","Required Qualifications:","Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.","Mastery of machine learning fundamentals.","Experience training an deploying ML models for computer vision in a production setting.","Strong understanding of 3D vision problems/algorithms.","Experience with machine learning frameworks such as PyTorch and TensorFlow.","Demonstrated expertise in deploying models using TensorRT and ONNX.","Proficiency in C++ and Python.","Strong analytical and problem-solving skills, with the ability to translate research into practical applications.","Ability to obtain a SECRET clearance","Preferred Qualifications:","Experience with developing autonomous systems for defense customers.","Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.","Contributions to open-source projects in machine learning or computer vision.","Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).","Employer-disclosed pay range: $233,760 – $350,640 USD per year.","#LI-DS-1","#LE","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-07-28T21:18:45.080Z","date_posted":null,"valid_through":null},{"id":"shieldai-ec27312c-b829-42fb-9a1f-e5733b38b0c1","url":"https://roboticjobs.ai/jobs/shieldai-ec27312c-b829-42fb-9a1f-e5733b38b0c1","employer_url":"https://jobs.lever.co/shieldai/ec27312c-b829-42fb-9a1f-e5733b38b0c1","title":"Autonomy Integration Engineer (R5245)","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Other levels","detected_skills":["C++","Python","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.","The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.","What you'll do:","System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.","Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.","On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.","Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.","Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.","Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.","Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.","Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.","Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).","Required qualifications:","BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.","Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.","Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).","Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.","Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).","Hands-on experience supporting flight demos or live exercises.","Experience with simulation tools and environments for testing and validation.","Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.","Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.","Preferred Qualifications:","Direct experience supporting unmanned aerial systems or similar flight test campaigns.","Familiarity with autonomy stacks, flight control systems, or GNC pipelines.","Competence in sensor integration, electronics debugging, or avionics bring-up.","Proficiency in developing automation tools for system testing, logging, and data parsing.","Comfortable interfacing with DoD stakeholders during field events or technical reviews.","Experience with UCI and OMS Standards.","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-25T06:11:41.087Z","date_posted":null,"valid_through":null},{"id":"shieldai-ed36d9df-a47e-4905-8e2b-aaee98182df8","url":"https://roboticjobs.ai/jobs/shieldai-ed36d9df-a47e-4905-8e2b-aaee98182df8","employer_url":"https://jobs.lever.co/shieldai/ed36d9df-a47e-4905-8e2b-aaee98182df8","title":"Staff Engineer, Autonomy Software Integration (R4483)","employer":{"id":"shieldai","name":"Shield AI"},"location":"San Diego, California","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$152,480 – $228,720","compensation":[{"min":152480,"max":228720,"currency":"USD","period":"YEAR","context":"Employer-disclosed pay range: $152,480 – $228,720 USD per year."}],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you!","The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives.","We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications—ensuring our platform empowers customers to build reliable, mission-ready autonomous systems.","What you'll do:","Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack.","Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.","Understand the full system end-to-end—from sensor inputs to autonomous behaviors.","Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components.","Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms.","Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles.","Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments.","Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries.","Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging.","Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness.","Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.","Required qualifications:","Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD.","Proficiency in programming languages including Python or C++.","Experience with autonomous systems or server applications or middleware.","Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.","Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments.","Strong expertise with CI/CD pipelines.","Strong problem-solving skills and a proven track record of delivering high-quality software solutions.","Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.","Preferred qualifications:","Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.","Experience with hardware or embedded systems.","Expert knowledge of Python.","Experience with ROS.","Experience with white box testing","Familiarity with networking, operating-systems, and radio communications.","Experience designing automated tooling for testing for GUI applications.","Experience designing automated tooling for testing server applications.","Employer-disclosed pay range: $152,480 – $228,720 USD per year.","#LI-EW1","#LD","Full-time regular employee offer package:","Pay within range listed + Bonus + Benefits + Equity","Temporary employee offer package:","Pay within range listed above + temporary benefits package (applicable after 60 days of employment)","Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.","###","Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-01-31T04:01:38.996Z","date_posted":null,"valid_through":null},{"id":"shieldai-ed94166e-4bf4-4e8d-a8ac-733855ed6ddb","url":"https://roboticjobs.ai/jobs/shieldai-ed94166e-4bf4-4e8d-a8ac-733855ed6ddb","employer_url":"https://jobs.lever.co/shieldai/ed94166e-4bf4-4e8d-a8ac-733855ed6ddb","title":"Senior Staff Engineer, Autonomy Software Integration & Test (R5539)","employer":{"id":"shieldai","name":"Shield AI"},"location":"London","work_mode":"Hybrid","discipline":"Controls & Autonomy","experience":"Lead & Staff","detected_skills":["C++","Python","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI’s mission is to protect service members and civilians with intelligent systems. We are seeking an Autonomy Software Integration & Test Engineer to support development, integration, testing, and deployment of autonomous systems in Ukraine.","This role is ideal for a hands-on engineer who enjoys working across software, hardware, aircraft systems, and flight operations in fast-paced field environments. The position combines autonomy software development, system integration, and real-world flight testing across unmanned and autonomous platforms.","The ideal candidate is comfortable writing and debugging software, integrating autonomy systems onto fixed-wing, multirotor, and other unmanned or autonomous systems, troubleshooting issues in both lab and field environments, and supporting live flight operations under evolving operational conditions. This role requires an engineer who can move fluidly between software development, aircraft integration, flight testing, demonstrations, and operational troubleshooting in a rapidly growing startup environment.","The ideal candidate demonstrates strong ownership, a bias toward action, and the ability to solve complex problems across software, hardware, and flight operations in rapidly evolving environments.","This role will primarily support operations in the Lviv region, with occasional travel to other locations within Ukraine for demonstrations, testing, and operational support activities.","What you'll do:","Develop and contribute production-quality software features and capabilities for autonomous systems","Design, implement, debug, and maintain software components supporting autonomy, mission execution, system integration, and flight operations","Integrate autonomy software onto fixed-wing, multirotor, and other unmanned or autonomous systems","Develop internal tools, automation, telemetry analysis pipelines, and test infrastructure in C++ and Python","Support software bring-up, system configuration, and mission readiness for flight operations","Debug and troubleshoot issues across autonomy software, onboard compute, radios, networking, sensors, flight controllers, and mission systems","Support simulation, SIL, HIL, VIL, ground testing, and live flight test activities","Support field demonstrations and operational test events, including pre-flight setup, system validation, troubleshooting, and post-flight analysis","Operate and troubleshoot Ground Control Stations (GCS) and mission support systems","Capture, analyze, and review flight and system data to support root cause analysis and system improvements","Work closely with autonomy, systems, hardware, and flight test teams to rapidly integrate and validate new capabilities","Support rapid software iteration and operational testing in dynamic startup and field environments","Contribute to operational documentation, test procedures, integration workflows, and deployment readiness activities","Travel to test sites and support field operations as required","Required qualifications:","Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related field, or equivalent practical experience","3+ years of experience developing and integrating software for robotics, autonomy, aerospace, embedded systems, or related technical fields","Strong software engineering experience in C++ and Python, including development, debugging, and system integration","Experience contributing to complex software systems in robotics, autonomy, aerospace, embedded systems, or related domains","Experience working with Linux-based systems and development environments","Hands-on experience integrating and troubleshooting hardware and software systems","Experience supporting field testing, flight testing, demonstrations, or operational exercises","Familiarity with MAVLink, PX4, ArduPilot, QGroundControl, or related unmanned systems technologies","Experience debugging distributed or cross-disciplinary systems involving software, networking, sensors, radios, onboard compute, and mission systems","Strong sense of ownership and ability to operate independently in fast-paced environments","Strong problem-solving mindset and willingness to work across disciplines","Ability to travel within Ukraine as required","Preferred qualifications:","Experience supporting autonomous aircraft or unmanned systems","Experience with SIL, HIL, VIL, simulation, or flight test environments","Familiarity with ROS, DDS, embedded systems, or real-time systems","Experience with RF communications, datalinks, and networking systems","Experience supporting live flight demonstrations or operational deployments","Familiarity with flight controllers, avionics systems, and aircraft integration","Experience building internal tools for testing, automation, telemetry analysis, or operational support","Background in defense, robotics, aerospace, or autonomous systems","Ukrainian and English language proficiency","Experience operating in fast-paced and dynamic field environments","#LI-LD2","#LE","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-08-06T19:15:50.102Z","date_posted":null,"valid_through":null},{"id":"shieldai-fe446245-61e6-47b2-a6cc-beffb0bdb999","url":"https://roboticjobs.ai/jobs/shieldai-fe446245-61e6-47b2-a6cc-beffb0bdb999","employer_url":"https://jobs.lever.co/shieldai/fe446245-61e6-47b2-a6cc-beffb0bdb999","title":"Senior Engineer, Autonomy Software Integration & Test (R5225)","employer":{"id":"shieldai","name":"Shield AI"},"location":"Lviv","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python","Linux"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.","Job Description:","Shield AI’s mission is to protect service members and civilians with intelligent systems. We are seeking an Autonomy Software Integration & Test Engineer to support development, integration, testing, and deployment of autonomous systems in Ukraine.","This role is ideal for a hands-on engineer who enjoys working across software, hardware, aircraft systems, and flight operations in fast-paced field environments. The position combines autonomy software development, system integration, and real-world flight testing across unmanned and autonomous platforms.","The ideal candidate is comfortable writing and debugging software, integrating autonomy systems onto fixed-wing, multirotor, and other unmanned or autonomous systems, troubleshooting issues in both lab and field environments, and supporting live flight operations under evolving operational conditions. This role requires an engineer who can move fluidly between software development, aircraft integration, flight testing, demonstrations, and operational troubleshooting in a rapidly growing startup environment.","The ideal candidate demonstrates strong ownership, a bias toward action, and the ability to solve complex problems across software, hardware, and flight operations in rapidly evolving environments.","This role will primarily support operations in the Lviv region, with occasional travel to other locations within Ukraine for demonstrations, testing, and operational support activities.","What you'll do:","Develop and contribute production-quality software features and capabilities for autonomous systems","Design, implement, debug, and maintain software components supporting autonomy, mission execution, system integration, and flight operations","Integrate autonomy software onto fixed-wing, multirotor, and other unmanned or autonomous systems","Develop internal tools, automation, telemetry analysis pipelines, and test infrastructure in C++ and Python","Support software bring-up, system configuration, and mission readiness for flight operations","Debug and troubleshoot issues across autonomy software, onboard compute, radios, networking, sensors, flight controllers, and mission systems","Support simulation, SIL, HIL, VIL, ground testing, and live flight test activities","Support field demonstrations and operational test events, including pre-flight setup, system validation, troubleshooting, and post-flight analysis","Operate and troubleshoot Ground Control Stations (GCS) and mission support systems","Capture, analyze, and review flight and system data to support root cause analysis and system improvements","Work closely with autonomy, systems, hardware, and flight test teams to rapidly integrate and validate new capabilities","Support rapid software iteration and operational testing in dynamic startup and field environments","Contribute to operational documentation, test procedures, integration workflows, and deployment readiness activities","Travel to test sites and support field operations as required","Required qualifications:","Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related field, or equivalent practical experience","3+ years of experience developing and integrating software for robotics, autonomy, aerospace, embedded systems, or related technical fields","Strong software engineering experience in C++ and Python, including development, debugging, and system integration","Experience contributing to complex software systems in robotics, autonomy, aerospace, embedded systems, or related domains","Experience working with Linux-based systems and development environments","Hands-on experience integrating and troubleshooting hardware and software systems","Experience supporting field testing, flight testing, demonstrations, or operational exercises","Familiarity with MAVLink, PX4, ArduPilot, QGroundControl, or related unmanned systems technologies","Experience debugging distributed or cross-disciplinary systems involving software, networking, sensors, radios, onboard compute, and mission systems","Strong sense of ownership and ability to operate independently in fast-paced environments","Strong problem-solving mindset and willingness to work across disciplines","Ability to travel within Ukraine as required","Preferred qualifications:","Experience supporting autonomous aircraft or unmanned systems","Experience with SIL, HIL, VIL, simulation, or flight test environments","Familiarity with ROS, DDS, embedded systems, or real-time systems","Experience with RF communications, datalinks, and networking systems","Experience supporting live flight demonstrations or operational deployments","Familiarity with flight controllers, avionics systems, and aircraft integration","Experience building internal tools for testing, automation, telemetry analysis, or operational support","Background in defense, robotics, aerospace, or autonomous systems","Ukrainian and English language proficiency","Experience operating in fast-paced and dynamic field environments","#LI-LD2","#LC","Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner."],"source":"Lever","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-06-12T21:45:42.848Z","date_posted":null,"valid_through":null}]}