{"schema_version":1,"catalog_status":"ok","verified_at":"2026-10-17T21:08:16.842Z","source_status":[{"board":"apptronik","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":55},{"board":"nuro","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":82},{"board":"agilityrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":45},{"board":"figureai","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":54},{"board":"intrinsicrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":20},{"board":"waymo","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":225},{"board":"torcrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":39},{"board":"maymobility","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":23},{"board":"pathrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":32},{"board":"locusrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":3},{"board":"diligentrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":6},{"board":"andurilindustries","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":131},{"board":"zoox","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":172},{"board":"shieldai","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":75},{"board":"manna-1","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":6},{"board":"dexory","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":10},{"board":"anybotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":12},{"board":"rivr","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":28},{"board":"nomagic","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":7},{"board":"exotec","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":37},{"board":"idealworks","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":2},{"board":"palrobotics","status":"ok","checkedAt":"2026-10-17T21:08:16.842Z","jobs":2}],"page":1,"page_size":100,"total":7,"next_url":null,"items":[{"id":"nomagic-02f43566-b80a-4e72-be1a-01cfc59f02a7","url":"https://roboticjobs.ai/jobs/nomagic-02f43566-b80a-4e72-be1a-01cfc59f02a7","employer_url":"https://jobs.lever.co/Nomagic/02f43566-b80a-4e72-be1a-01cfc59f02a7","title":"Research Scientist","employer":{"id":"nomagic","name":"Nomagic"},"location":"Warsaw, Poland","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Other levels","detected_skills":["PyTorch"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments?","Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI?","Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution?","If your answers are yes, we should talk.","At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the \"internet data\" of robotics - massive deployment logs from real systems operating in production environments - to bootstrap our efforts. We are looking for Research Scientists who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.","Offer essentials","Play with real robots, solving real problems, every day.","Relocation package.","Flexible working hours.","English-speaking environment.","Here is why we love this job ourselves, and hope you will enjoy it too:","We combine world-class research with top-notch engineering and apply it to solve real problems.","Much of this data already exists. We have robots in production at scale. We aren't waiting for datasets to be collected; the byproduct of our machines doing useful work is being created right now.","We measure what matters. We test our code in unit tests, simulations, and directly on real robots. Grounding our models in deployment allows us to truly measure performance, not just offline metrics.","High leverage, high impact. We’re still a highly focused team. If your architectures and training curricula improve our agents, you directly change the economics of the company.","World-class peers. Our team has built Google Warsaw, unicorn startups, led research in DeepMind, tested rocket engines, and worked at top companies like Nvidia and ByteDance. Now, we are shaping the reality of Physical AI together.","We are building the bridge. We aren't a new startup looking for an application; we are an established player bootstrapping physical AI. We believe this will be the first true proof-of-concept for scaled physical AI","What you will do","Your focus will be defined by the intersection of ML research, robotics, and large-scale multimodal model training. Expect challenges across two main pillars, with the opportunity to specialize in Pretraining or Post-training:","Foundation Models & Pretraining","Design the Base Intelligence: Define model architectures (Transformer- and Diffusion-based), objectives, and training curricula across multimodal robotic data, turning raw deployment logs into generalizable capabilities.","Master the Data: Develop scalable data mixtures and sampling strategies utilizing our massive offline repositories of vision, action, and state data.","Push the Frontier: Run rigorous ablations to understand scaling laws, data quality effects, optimization dynamics, and large-model failure modes.","Scale with Engineering: Collaborate closely with ML Infra to push cluster utilization and throughput, ensuring our algorithmic ideas translate to efficient distributed training.","Adaptation, Post-Training & Real-World Evaluation","Drive Downstream Adaptation: Explore fine-tuning recipes to make general models – our own as well as our partner’s models – useful, controllable, and safe in the real world using imitation and reinforcement learning, distillation, and curriculum learning.","Improve Physical Robustness: Develop cutting-edge methods for improving real-world reliability, handling out-of-distribution edge cases, and steering robot behavior in mature factory environments.","Build Benchmarks: Design evaluation frameworks and lightweight physical setups that measure actual robot performance and failure modes far beyond the limits of simulation.","Close the Physical Loop: Analyze real-world evaluation results to guide the overarching research direction, seamlessly bridging the gap between foundation model outputs and physical-world outcomes.","What skills we’d like you to have:","Experience: Deep research and practical experience at the intersection of machine learning, systems engineering, and physical robotics.","Proven Track Record: Experience designing, training, and fine-tuning large-scale deep learning architectures (VLMs, VLAs, RL, RLHF, Imitation Learning), ideally with policies deployed and validated on real hardware.","Engineering Excellence: Strong deep learning framework fundamentals (PyTorch/JAX). You are comfortable debugging at every layer of the stack and care about empirical rigor as much as raw iteration speed.","Robotics Intuition: Comfort working hands-on with hardware. You understand the robotics full stack (perception, controls, state estimation) and care deeply about evaluation and failure analysis when software meets the physical world.","Pragmatic Research Mindset: You possess the ability to move seamlessly between theoretical design and physical implementation. You prefer execution, rapid iteration loops, and real-world robustness over academic purity.","What should you expect once you apply?","A phone screen with the hiring manager to discuss your background and our technical direction.","A half-day of on-sites (cultural fit & deep-dive technical interviews).","A final decision made within 2-3 days after the on-site interview.","Important: Expect detailed, honest feedback after completing the process, regardless of our decision."],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-07-24T08:21:32.083Z","date_posted":null,"valid_through":null},{"id":"nomagic-13cdf1ca-7e42-44b2-92dd-0f13598eeeaf","url":"https://roboticjobs.ai/jobs/nomagic-13cdf1ca-7e42-44b2-92dd-0f13598eeeaf","employer_url":"https://jobs.lever.co/Nomagic/13cdf1ca-7e42-44b2-92dd-0f13598eeeaf","title":"Senior Automation Engineer","employer":{"id":"nomagic","name":"Nomagic"},"location":"Warsaw, Poland","work_mode":"Hybrid","discipline":"Systems & Integration","experience":"Senior","detected_skills":[],"advertised_pay":null,"compensation":[],"description_paragraphs":["Do you want to participate in shaping the future with Artificial Intelligence systems deployed in industry?","Are you ready to learn the new exciting world of smart robots?","Do you feel tired of working in a big company?","Would you like to cooperate with top professionals in our industry?","If your answers are mostly yes, then you should keep reading.","At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for a Senior Automation Engineer, who defines and designs integrated solutions for robotized stations.","Offer essentials:","Play with robots every day","Salary: 20000 - 23000 UoP per month plus equity","Relocation package","Truly flexible working hours","Up to 40% remote work possible","Small and engaged team","English-speaking environment","Here is why we love this job ourselves, and hope you will enjoy it too:","We build robots powered by AI","We already have them in production (this means being on call sometimes, but still!)","We love experimenting in our Lab full of robots","We’re still pretty small, so everyone has a direct impact on the final result","We have a very experienced engineering & management team from Google, early unicorns (Criteo, Climate Corp...) & top robotics companies (ABB, Softbank Robotics, Dematic)","We combine world-class research with top notch engineering and apply it to solve real problems","Some of the problems you may try to solve with us:","Work on robotized cells end-to-end from electric connections to integrating hardware components (mechanical parts, electrical & pneumatic components, actuators, electronics, safety)","Help with designing integration of Nomagic robots into customer production lines.","Keep our documentation (PLC Code, electric schematics) up to date and in well shape","Deliver robots to customers with end-to-end integration: hands-on at customer sites and with the team and contractors","Debug problems, perform maintenance and service activities on our robots and equipment on customer’s sites","Work hand in hand with software engineers to make sure that hardware and software integrate well","Create PLC programs","Design and program safety systems","Design and build simple prototypes for our robotic solutions,","Order parts & components required to build Nomagic robots","What skills we’d like you to have:","Experience in building automation systems and integrating them into robotized cells or production lines including designing, building and testing control systems.","Proficiency in PLC and HMI programming using Siemens TIA Portal and WinCC Unified. Experience with Beckhoff TwinCAT is a plus","Knowledge of TIA Portal Openness and Ignition HMI (Inductive Automation) is a plus","Process simulation experience and good knowledge of Siemens environment in terms of modularization and revisioning of work is strong plus","Knowledge of automation components - market solutions and current tech trends from leading suppliers (sensors, actuators, controllers, ..), and communication protocols","Hands-on experience with EPLAN is a strong plus","Strong organizational skills and drive to deliver great products at tight timelines. Experience end-to-end project management is a strong plus","Track record of working with industrial robots ABB is a plus","Experience in maintenance or service team is a plus","Speed and efficiency in communicating with internal and external partners within cross-functional teams","Ability to travel up to 20% of time to customer sites","Engineering degree (Automation, Robotics or Electronics preferably)","Excellent communication skills in English. French and/or German is a plus","Highly energetic and hands-on attitude! Strive to get things done and find solutions whatever it takes","What should you expect once you apply?","30 minutes Hardware Manager interview","1 hour Technical Interview","Homework + Onsites - half a day of interviews & discussions at the office","We make the final decision after max. 2-3 days after onsite interview","Important: expect detailed feedback regardless of our decision."],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-08-27T11:53:29.628Z","date_posted":null,"valid_through":null},{"id":"nomagic-1ae7be9e-054b-456b-b539-e7ecbf1c76b6","url":"https://roboticjobs.ai/jobs/nomagic-1ae7be9e-054b-456b-b539-e7ecbf1c76b6","employer_url":"https://jobs.lever.co/Nomagic/1ae7be9e-054b-456b-b539-e7ecbf1c76b6","title":"Security & Compliance Engineer","employer":{"id":"nomagic","name":"Nomagic"},"location":"Warsaw, Poland","work_mode":"Hybrid","discipline":"Systems & Integration","experience":"Other levels","detected_skills":["Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Are you the kind of person who is comfortable getting hands-on with technical work - reviewing a firewall ruleset, hardening an endpoint fleet, triaging a SIEM alert - and equally at ease with documenting evidence needed to pass a compliance audit?","Do you want the kind of role where security is yours to shape, not just operate?","Would you like to cooperate with top professionals in our industry?","If your answers are mostly yes, then you should keep reading. At Nomagic, we're on a mission to teach robots the real world. We're now looking for a Security & Compliance Engineer to own security and compliance across the company - from our corporate environment to the edge stations we deploy at customer sites.","Offer essentials:","Own security and compliance hands-on at a scaling robotics company","Work across cloud, edge, and on-prem infrastructure","Equity for every employee","Relocation package","No late evening calls - the entire eng team is based in Europe :)","English-speaking environment","Hybrid work from Warsaw - you'll be in the office regularly, as the role benefits from presence","Here is why we love this job ourselves, and hope you will enjoy it too:","We get to be creative","We're still pretty small, so everyone has a direct impact on the final result","Nothing is written in stone, we can easily change the tools and processes we use (if the requirements change)","We take security and compliance seriously as operational reality, not as a checkbox","You won't be alone — you'll have a strong DevOps/Infrastructure team for cloud and edge topics, outsourced IT support for day-to-day administration, and security consultants for specialized work","The CEO and part of the management are experienced infrastructure engineers who created the foundations of Google Cloud Platform","We combine world-class research with top-notch engineering and apply it to solve real problems","Some of problems you may try to solve with us :","Owning our ISO 27001 and SOC 2 compliance posture day-to-day on Vanta — evidence, controls, audits, and closing gaps as we grow","Co-create policy for AI tooling usage — be at the forefront of how AI can boost productivity at Nomagic, while applying best security practices around evaluation, access, and data handling","Defining the security standards for our endpoints, identity, and network — and verifying that our outsourced IT provider implements them correctly","Running the third-party risk process — assessing vendor security posture and handling customer security questionnaires","Monitoring and responding to security events — SIEM, alert triage, investigation, and improving detection over time","Working with the DevOps/Infrastructure team on security topics that span cloud, edge, and OT environments","Skills we’d like you to have:","5+ years of hands-on experience in information security, IT security, or a similar role","Practical understanding of endpoint and identity security - MDM, SSO, SAML, access control models","Solid understanding of network security architecture - segmentation, trust boundaries, and secure remote access","Hands-on experience with a GRC framework (ISO 27001, SOC 2, or similar), including third-party risk assessment and security questionnaires","Comfortable writing and reviewing security policies","Scripting ability for automation - Python, Bash, PowerShell, or similar","Fluent communication in English","Nice to have:","Experience with Vanta or a similar GRC platform (Drata, Tugboat Logic) — matches our current stack","Familiarity with SIEM tooling, especially Wazuh — matches our current stack","Exposure to OT, industrial, or edge/hardware environments","Cloud security experience (GCP preferred)","Background in a tech scaleup","What should you expect once you apply?","30 minutes call with a Recruiter","45 minutes Hiring Manager interview","60 minutes Technical Interview","Onsites - half a day of interviews & discussions at the office","Important: Feedback after completing the recruitment process.","See a short sneak peek of our product here:","https://vimeo.com/manage/videos/1051464045","https://vimeo.com/manage/videos/1051465112"],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-05-04T13:50:39.414Z","date_posted":null,"valid_through":null},{"id":"nomagic-44ffeffe-c24c-49a3-903d-4a88819a2d0e","url":"https://roboticjobs.ai/jobs/nomagic-44ffeffe-c24c-49a3-903d-4a88819a2d0e","employer_url":"https://jobs.lever.co/Nomagic/44ffeffe-c24c-49a3-903d-4a88819a2d0e","title":"Senior Project Manager (Intralogistics and Robotics)","employer":{"id":"nomagic","name":"Nomagic"},"location":"Warsaw, Poland","work_mode":"Remote","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":[],"advertised_pay":null,"compensation":[],"description_paragraphs":["Do you dream of deploying the perfect picking robots in warehouses all around the world? Are you ready to learn the new, exciting world of smart robots? Are you excited about joining a startup and contributing to building its future? Would you like to cooperate with top professionals in our industry?","If your answers are mostly yes, then you should keep reading.","At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for a Senior Project Manager who’s ready to help us scale and deploy many robots in our clients’ warehouses!","Offer essentials:","Play with robots every day","Salary: 25000 - 35000 PLN on contract of employment (UoP) per month plus significant equity","Remote position or at our office in Warsaw with frequent travels","Truly flexible working hours","English-speaking environment","Here is why we love this job ourselves, and hope you will enjoy it too:","We build robots powered by AI","We already have them in production (this means being on call sometimes, but still!)","We test our code in unit tests, simulations and on real robots!","We’re still pretty small, so everyone has a direct impact on the final result","We have a very experienced engineering & management team from Google, early unicorns (Criteo, Climate Corp...) & top robotics companies (ABB, Softbank Robotics, Dematic)","We combine world-class research with top-notch engineering and apply it to solve real problems","Some of the problems you may try to solve with us:","Manage the robot deployments project from the specification phase to the operations handover","Coordinate internal resources for the flawless execution of multiple projects","Track project performance, control the budget, and report to relevant stakeholders","Meet with clients regularly to report on progress and discuss open items","Perform risk management to minimise potential risks","What skills we’d like you to have:","5+ years of experience as a Project Manager","5+ years of experience in intralogistics and/or robotics industry","Ability to independently manage multiple projects at once, ensuring OTIF delivery","Fluent German (required), enabling smooth communication with customers, partners and internal stakeholders","Very good command of English","Customer satisfaction mindset","Can-do attitude and ability to resolve blockers and potential risks","Ability to coordinate multidisciplinary project teams","Very good organisational skills, ability to juggle multiple projects","Ability to travel up to 50% of the time to customers’ warehouses in Europe","Willingness to learn about robots and machine learning","Technical background, Master’s degree or equivalent","What should you expect once you apply?","30-minute call with a Recruiter","45 minutes Hiring Manager interview","Homework","Onsites - half a day of interviews & discussions at the office","We make the final decision after max. 3-5 days after onsite interview","Important: Feedback after completing the recruitment process.","See a short sneak peek of our product here:","https://vimeo.com/manage/videos/1051464045","https://vimeo.com/manage/videos/1051465112","Learn more about us at https://nomagic.ai/"],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-03-26T11:24:34.157Z","date_posted":null,"valid_through":null},{"id":"nomagic-5c4122ba-31f1-4105-8e26-af66ae7932d0","url":"https://roboticjobs.ai/jobs/nomagic-5c4122ba-31f1-4105-8e26-af66ae7932d0","employer_url":"https://jobs.lever.co/Nomagic/5c4122ba-31f1-4105-8e26-af66ae7932d0","title":"Research Engineer","employer":{"id":"nomagic","name":"Nomagic"},"location":"Warsaw, Poland","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Other levels","detected_skills":["Python","PyTorch"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments?","Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI?","Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution?","If your answers are yes, we should talk.","At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the \"internet data\" of robotics - massive deployment logs from real systems operating in production environments - to bootstrap our efforts. We are looking for Research Engineers who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.","Offer essentials","Play with real robots, solving real problems, every day.","Relocation package.","Flexible working hours.","English-speaking environment.","Here is why we love this job ourselves, and hope you will enjoy it too:","We combine world-class research with top-notch engineering and apply it to solve real problems","The data already exists. We have robots in production at scale. We aren't waiting for datasets to be collected; the byproduct of our machines doing useful work is being created right now.","We measure what matters. We test our code in unit tests, simulations, and directly on real robots. Grounding our models in deployment allows us to truly measure performance.","High leverage, high impact. We’re still a highly focused team. If your training recipes improve our agents, you directly change the economics of the company.","World-class peers. Our team has built Google Warsaw, unicorn startups, led research in DeepMind, tested rocket engines, and worked at top companies like Nvidia and ByteDance. Now, we are shaping the reality of Physical AI together.","We are building the bridge. We aren't a new startup looking for an application; we are an established player bootstrapping physical AI. We believe that this will be the first true proof-of-concept for scaled physical AI.","What you will do","Your focus will be defined by the intersection of Robotics and ML and large-scale multimodal model training - expertise in both is optimal and alternatively eagerness to learn.","Expect challenges across two main pillars with the opportunity to specialise:","Core Research & Large-Scale Infrastructure","Own the Training Stack: Design, implement, and maintain the core infrastructure for large-scale VLA model training, including scheduling, distribution, job management, checkpointing, and rigorous logging.","Enable Rapid Iteration: Build the critical tools and abstractions necessary for launching, monitoring, debugging, and seamlessly reproducing complex, multi-variant experiments.","Train from Deployment Logs: Utilize our massive repository of offline, classical stack data to pre-train robust robot foundation models.","Drive the Software Feedback Loop: Translate core research needs into concrete infra capabilities, track experiments, analyze results, and close the loop directly with ML researchers to unblock model progress","Real-World Evaluation & Operations","Design Physical Benchmarks: Design new robotic tasks and build lightweight physical setups to systematically evaluate model capabilities far beyond the limits of simulation.","Execute Structured Evaluations: Ensure robots are properly configured, calibrated, and ready for rollouts. You will coordinate data collection efforts and run structured, on-robot evaluations to measure real-world success rates.","Close the Physical Feedback Loop: Analyze real-world evaluation results to guide the ML research direction. You will identify operational bottlenecks across software, hardware, and deployment systems to continuously improve our iteration speed.","Scale the Workflows: Beta test internal and third-party tools for teaching robots new skills, and write clear, structured documentation so the broader team can reproduce your workflows and scale your impact.","What skills we’d like you to have:","Experience: Deep experience and understanding at the intersection of machine learning, systems engineering, and robotics.","Proven Track Record: Experience training, fine-tuning, and deploying modern deep learning architectures (Transformers, VLMs or VLAs, Imitation Learning, RL) for robot control, ideally with policies validated on real hardware.","Engineering Excellence: Strong software engineering and infrastructure skills. You are highly proficient in Python and deep learning frameworks (PyTorch/JAX) and can write clean, scalable code for training and evaluation.","Robotics Intuition: Comfort working hands-on with hardware. You understand the robotics full stack (perception, controls, state estimation) and how to debug failures when software meets the physical world.","Pragmatic Research Mindset: You possess the ability to move seamlessly between research and implementation. You prefer execution, iteration speed, and real-world robustness over theoretical purity.","What should you expect once you apply?","A phone screen with the hiring manager to discuss your background and our technical direction.","A half-day of on-sites (cultural fit & deep-dive technical interviews).","A final decision made within 2-3 days after the on-site interview.","Important: Expect detailed, honest feedback after completing the process, regardless of our decision."],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-07-24T08:20:15.971Z","date_posted":null,"valid_through":null},{"id":"nomagic-b0c58fa1-5ad7-4f8e-b1fc-abda8f133650","url":"https://roboticjobs.ai/jobs/nomagic-b0c58fa1-5ad7-4f8e-b1fc-abda8f133650","employer_url":"https://jobs.lever.co/Nomagic/b0c58fa1-5ad7-4f8e-b1fc-abda8f133650","title":"Research Scientist","employer":{"id":"nomagic","name":"Nomagic"},"location":"Zurich, Switzerland","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Other levels","detected_skills":["PyTorch"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments?","Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI?","Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution?","If your answers are yes, we should talk.","At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the \"internet data\" of robotics - massive deployment logs from real systems operating in production environments - to bootstrap our efforts. We are looking for Research Scientists who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.","Offer essentials","Play with real robots, solving real problems, every day.","Relocation package.","Flexible working hours.","English-speaking environment.","Here is why we love this job ourselves, and hope you will enjoy it too:","We combine world-class research with top-notch engineering and apply it to solve real problems.","Much of this data already exists. We have robots in production at scale. We aren't waiting for datasets to be collected; the byproduct of our machines doing useful work is being created right now.","We measure what matters. We test our code in unit tests, simulations, and directly on real robots. Grounding our models in deployment allows us to truly measure performance, not just offline metrics.","High leverage, high impact. We’re still a highly focused team. If your architectures and training curricula improve our agents, you directly change the economics of the company.","World-class peers. Our team has built Google Warsaw, unicorn startups, led research in DeepMind, tested rocket engines, and worked at top companies like Nvidia and ByteDance. Now, we are shaping the reality of Physical AI together.","We are building the bridge. We aren't a new startup looking for an application; we are an established player bootstrapping physical AI. We believe this will be the first true proof-of-concept for scaled physical AI","What you will do","Your focus will be defined by the intersection of ML research, robotics, and large-scale multimodal model training. Expect challenges across two main pillars, with the opportunity to specialize in Pretraining or Post-training:","Foundation Models & Pretraining","Design the Base Intelligence: Define model architectures (Transformer- and Diffusion-based), objectives, and training curricula across multimodal robotic data, turning raw deployment logs into generalizable capabilities.","Master the Data: Develop scalable data mixtures and sampling strategies utilizing our massive offline repositories of vision, action, and state data.","Push the Frontier: Run rigorous ablations to understand scaling laws, data quality effects, optimization dynamics, and large-model failure modes.","Scale with Engineering: Collaborate closely with ML Infra to push cluster utilization and throughput, ensuring our algorithmic ideas translate to efficient distributed training.","Adaptation, Post-Training & Real-World Evaluation","Drive Downstream Adaptation: Explore fine-tuning recipes to make general models – our own as well as our partner’s models – useful, controllable, and safe in the real world using imitation and reinforcement learning, distillation, and curriculum learning.","Improve Physical Robustness: Develop cutting-edge methods for improving real-world reliability, handling out-of-distribution edge cases, and steering robot behavior in mature factory environments.","Build Benchmarks: Design evaluation frameworks and lightweight physical setups that measure actual robot performance and failure modes far beyond the limits of simulation.","Close the Physical Loop: Analyze real-world evaluation results to guide the overarching research direction, seamlessly bridging the gap between foundation model outputs and physical-world outcomes.","What skills we’d like you to have:","Experience: Deep research and practical experience at the intersection of machine learning, systems engineering, and physical robotics.","Proven Track Record: Experience designing, training, and fine-tuning large-scale deep learning architectures (VLMs, VLAs, RL, RLHF, Imitation Learning), ideally with policies deployed and validated on real hardware.","Engineering Excellence: Strong deep learning framework fundamentals (PyTorch/JAX). You are comfortable debugging at every layer of the stack and care about empirical rigor as much as raw iteration speed.","Robotics Intuition: Comfort working hands-on with hardware. You understand the robotics full stack (perception, controls, state estimation) and care deeply about evaluation and failure analysis when software meets the physical world.","Pragmatic Research Mindset: You possess the ability to move seamlessly between theoretical design and physical implementation. You prefer execution, rapid iteration loops, and real-world robustness over academic purity.","What should you expect once you apply?","A phone screen with the hiring manager to discuss your background and our technical direction.","A half-day of on-sites (cultural fit & deep-dive technical interviews).","A final decision made within 2-3 days after the on-site interview.","Important: Expect detailed, honest feedback after completing the process, regardless of our decision."],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-05-14T06:43:10.367Z","date_posted":null,"valid_through":null},{"id":"nomagic-fafe0fa1-f6b8-4004-a869-cbe587325067","url":"https://roboticjobs.ai/jobs/nomagic-fafe0fa1-f6b8-4004-a869-cbe587325067","employer_url":"https://jobs.lever.co/Nomagic/fafe0fa1-f6b8-4004-a869-cbe587325067","title":"Research Engineer","employer":{"id":"nomagic","name":"Nomagic"},"location":"Zurich, Switzerland","work_mode":"Hybrid","discipline":"Perception & AI","experience":"Other levels","detected_skills":["Python","PyTorch"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Do you believe the path to general-purpose physical AI runs through noisy, real-world factory deployments?","Are you excited by the challenge of turning the classical robotic stacks into the foundational training data for physical AI?","Do you want to bridge the gap between world-class ML research and industrial-scale robotic execution?","If your answers are yes, we should talk.","At Nomagic, we are executing a humble pivot for general-purpose physical AI. We believe that physical AI is fundamentally a knowledge transfer problem - we are leveraging the \"internet data\" of robotics - massive deployment logs from real systems operating in production environments - to bootstrap our efforts. We are looking for Research Engineers who will help us to build, train, and deploy foundational models that bring our fleet from a classical control stack to generalized AI mastery.","Offer essentials","Play with real robots, solving real problems, every day.","Relocation package.","Flexible working hours.","English-speaking environment.","Here is why we love this job ourselves, and hope you will enjoy it too:","We combine world-class research with top-notch engineering and apply it to solve real problems","The data already exists. We have robots in production at scale. We aren't waiting for datasets to be collected; the byproduct of our machines doing useful work is being created right now.","We measure what matters. We test our code in unit tests, simulations, and directly on real robots. Grounding our models in deployment allows us to truly measure performance.","High leverage, high impact. We’re still a highly focused team. If your training recipes improve our agents, you directly change the economics of the company.","World-class peers. Our team has built Google Warsaw, unicorn startups, led research in DeepMind, tested rocket engines, and worked at top companies like Nvidia and ByteDance. Now, we are shaping the reality of Physical AI together.","We are building the bridge. We aren't a new startup looking for an application; we are an established player bootstrapping physical AI. We believe that this will be the first true proof-of-concept for scaled physical AI.","What you will do","Your focus will be defined by the intersection of Robotics and ML and large-scale multimodal model training - expertise in both is optimal and alternatively eagerness to learn.","Expect challenges across two main pillars with the opportunity to specialise:","Core Research & Large-Scale Infrastructure","Own the Training Stack: Design, implement, and maintain the core infrastructure for large-scale VLA model training, including scheduling, distribution, job management, checkpointing, and rigorous logging.","Enable Rapid Iteration: Build the critical tools and abstractions necessary for launching, monitoring, debugging, and seamlessly reproducing complex, multi-variant experiments.","Train from Deployment Logs: Utilize our massive repository of offline, classical stack data to pre-train robust robot foundation models.","Drive the Software Feedback Loop: Translate core research needs into concrete infra capabilities, track experiments, analyze results, and close the loop directly with ML researchers to unblock model progress","Real-World Evaluation & Operations","Design Physical Benchmarks: Design new robotic tasks and build lightweight physical setups to systematically evaluate model capabilities far beyond the limits of simulation.","Execute Structured Evaluations: Ensure robots are properly configured, calibrated, and ready for rollouts. You will coordinate data collection efforts and run structured, on-robot evaluations to measure real-world success rates.","Close the Physical Feedback Loop: Analyze real-world evaluation results to guide the ML research direction. You will identify operational bottlenecks across software, hardware, and deployment systems to continuously improve our iteration speed.","Scale the Workflows: Beta test internal and third-party tools for teaching robots new skills, and write clear, structured documentation so the broader team can reproduce your workflows and scale your impact.","What skills we’d like you to have:","Experience: Deep experience and understanding at the intersection of machine learning, systems engineering, and robotics.","Proven Track Record: Experience training, fine-tuning, and deploying modern deep learning architectures (Transformers, VLMs or VLAs, Imitation Learning, RL) for robot control, ideally with policies validated on real hardware.","Engineering Excellence: Strong software engineering and infrastructure skills. You are highly proficient in Python and deep learning frameworks (PyTorch/JAX) and can write clean, scalable code for training and evaluation.","Robotics Intuition: Comfort working hands-on with hardware. You understand the robotics full stack (perception, controls, state estimation) and how to debug failures when software meets the physical world.","Pragmatic Research Mindset: You possess the ability to move seamlessly between research and implementation. You prefer execution, iteration speed, and real-world robustness over theoretical purity.","What should you expect once you apply?","A phone screen with the hiring manager to discuss your background and our technical direction.","A half-day of on-sites (cultural fit & deep-dive technical interviews).","A final decision made within 2-3 days after the on-site interview.","Important: Expect detailed, honest feedback after completing the process, regardless of our decision."],"source":"Lever","verified_at":"2026-10-17T21:08:16.842Z","updated_at":"2026-05-13T12:53:07.194Z","date_posted":null,"valid_through":null}]}