{"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":228,"next_url":"https://roboticjobs.ai/feeds/catalog.json?page=2&snapshot=2026-10-17T10%3A04%3A19.148Z&employer=waymo","items":[{"id":"waymo-6499165","url":"https://roboticjobs.ai/jobs/waymo-6499165","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=6499165","title":"Machine Learning Engineer, Simulation Realism","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":[],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse,, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.","To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.","In this hybrid role, you will report to a Senior Engineering Manager","You will:","Be part of a world-class applied ML team dedicated to advancing ultra-realistic autonomous vehicle (AV) simulations by leveraging Generative AI technologies.","Apply deep domain expertise in ML, especially GenAI, to push the boundaries of simulation realism and autonomous driving capabilities.","Independently manage the entire lifecycle of product innovations, from prototyping to productization, scaling simulations and data processing systems.","Work within a collaborative applied ML engineering team that transforms research ideas into production-ready solutions.","You have:","7+ years experience in applied Deep Learning","7+ years coding and design skills","7+ years of experience solving complex production problems using state-of-the-art ML techniques","7+ years of experience taking research to production","Expertise in Data Analysis or Data Science","We prefer:","PhD degree in Computer Science or a similar discipline","Direct experience in Generative AI, including multi-modal foundation models and Diffusion models.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-01-23T15:11:17-05:00","valid_through":null},{"id":"waymo-6506689","url":"https://roboticjobs.ai/jobs/waymo-6506689","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=6506689","title":"Machine Learning Engineer, Prediction & Planning","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$175,000—$215,000","compensation":[{"min":175000,"max":215000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.","In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews.","You will:","Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo’s business.","Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles.","Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements.","Develop and evaluate large models, and integrate them into Waymo’s production planning software for real-world applications through close partnership with the Planner and Research teams.","You have:","BS in Computer Science, ML, Robotics, similar technical field of study","2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles","Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact","Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)","Proficient programming skills (eg: Python, C/C++)","Strong analytical and debugging skills","We prefer:","MS or PhD in Computer Science, Machine Learning, Robotics, or a related field","Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP","General software engineering experience solving motion planning or related robotics problems","Experience applying or evaluating ML-based systems in production environments","Experience with performance optimization of deep models, including with respect to specific hardware architectures","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$175,000—$215,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-04-28T18:13:11-04:00","valid_through":null},{"id":"waymo-6669555","url":"https://roboticjobs.ai/jobs/waymo-6669555","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=6669555","title":"Senior/Staff ML Engineer, 3D/4D World Modeling, Simulation ","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar).","To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver.","In this role, you will report to a Senior Staff Engineering Manager.","You will:","Lead the design, development and deployment of cutting-edge 4D world models and generative systems for ultra-realistic and controllable sensor and semantics generation for simulation use cases at waymo.","Architect and implement scalable and robust ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including techniques like model distillation and quantization.","Build and scale production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.","Apply Vision Language Models (VLMs) to enhance the semantic understanding and controllability of our world simulation products.","Partner with world class research teams across Waymo and Alphabet to leverage State-of-The-Art research in 4D world modeling and generative AI into robust, production-ready solutions.","Mentor and provide technical guidance to other engineers on the team.","You have:","MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.","5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record.","Proven experience in developing and training large-scale generative models for video generation (e.g., Diffusion models, Flow Matching) or Vision Language Models (VLMs) and their applications.","Deep expertise in 3D World Modeling or 3D computer vision.","Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting).","Strong programming skills in Python and experience with ML frameworks such as Jax/Flax, PyTorch or Tensorflow.","We prefer:","PhD and a strong track record of delivering impactful ML products in 3D generative models, world models, or video generation..","Experience in simulating sensor data (Camera, Lidar, Radar) and/or semantic scenes.","Experience with autonomous systems, robotics, or autonomous vehicle simulation.","Experience in training and optimizing large scale models on GPU/TPU clusters for efficient serving.","Experience in C++ for production systems.","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-03-06T17:14:13-05:00","valid_through":null},{"id":"waymo-6688617","url":"https://roboticjobs.ai/jobs/waymo-6688617","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=6688617","title":"Machine Learning Engineer, Simulation Realism ","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.","To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundational World Model trained on our datasets, world understanding and reasoning capabilities for tail cases, and reinforcement learning for long term credit assignment. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple counterfactual scenarios to rigorously test our autonomous driving systems.","In this hybrid role, you will report to a Senior Staff Tech Lead Manager","You will:","Drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.","Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.","Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.","You have:","5+ years of experience with ML software engineering","5+ years of experience with Python","5+ years of ML software experience with machine learning framework including Pytorch, Tensorflow, Jax/Flax ,","We prefer:","Experience working with, creating and/or developing ML models for robotics and/or self driving vehicles","Strong C++ in production setting, with experience in integrating ML models in production system","Experience in training large scale models on GPU/TPU clusters are strongly preferred","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-03-13T12:54:13-04:00","valid_through":null},{"id":"waymo-6773081","url":"https://roboticjobs.ai/jobs/waymo-6773081","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=6773081","title":"Senior Software Engineer - Multiverse","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA;","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo’s AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo’s massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include:","Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth.","Timeliness: As Waymo’s deployments accelerate across the globe, time to first detection needs to consistently improve.","Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals.","The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime.","You Will:","Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include:","Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world.","Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events.","Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo’s challenges.","Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver’s performance.","You have:","5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience","C++ proficiency","Python familiarity","SQL familiarity","Excited about autonomous driving, Simulation + Eval","We prefer:","7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system.","B.Sc. in Computer Science","Experience working with large FAANG scale distributed systems.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-04-07T14:30:03-04:00","valid_through":null},{"id":"waymo-7028511","url":"https://roboticjobs.ai/jobs/waymo-7028511","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7028511","title":"Senior Software Engineer, Linux Kernel","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Linux"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry.","In this role, you will work on the System Software Team. The System Software team owns the primary compute node of Waymo's on-vehicle compute platform – an integrated embedded system. You will write Linux Kernel drivers (including creating appropriate user-space APIs) to communicate with custom hardware (e.g. custom ASICs and FPGAs). If you enjoy building embedded systems using novel compute hardware and working with engineering teams that will be direct consumers of your work, you'll be a great fit for this role.","In this hybrid role, you will report to the Technical Lead Manager.","You will:","Work on a small team of System Software and Linux Kernel Engineers to develop system software components from early prototyping to production launch of driverless vehicles","Develop and test Linux Kernel device drivers and other components for high-performance embedded systems including custom ASICs and accelerators.","Work with a variety of engineering teams and SoC partners to take on ambiguous problems.","You have:","BA/BS degree in Computer Science, or relevant technical field or equivalent practical experience","Proficiency in C and C++","5+ years of programming experience in an asynchronous environment with multiple processes, threads, timers, and interrupts","Experience with Linux kernel and device driver development","Working knowledge of hardware bring-up and debugging, including the ability to read schematics/datasheets and use common tools (oscilloscopes, multimeter, logic analyzers)","We prefer:","Experience with early-silicon development tools, e.g. emulators, simulators and FPGAs","Experience with common hardware protocols/interfaces (PCIe, Ethernet, or I2C)","Experience working with multiple types of industry partners (CM, ODM, OEM, or ISV)","Working knowledge of complex hardware-accelerated compute pipelines (GPUs, ML accelerators, image/data processors)","Experience with bootloaders or programming in a BIOS","Experience with building and maintaining testing infrastructure for OS and other low level code.","Experience with performing safe and robust software and firmware updates.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-07-16T11:25:36-04:00","valid_through":null},{"id":"waymo-7094669","url":"https://roboticjobs.ai/jobs/waymo-7094669","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7094669","title":"Staff Technical Lead Manager, ML Sensor Validation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Perception Team at Waymo builds the system that \"sees\" the world around the self-driving car. We conduct novel research to address real-world perception problems and collaborate with research teams at Alphabet. Here at Waymo, we have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale. Improvements deployed to our system can immediately advance our large fleet of autonomous vehicles.","Within Perception, the Sensor Health team's job is to make sure that sensors \"just work\" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our sensors to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.","In this hybrid remote/in-office role, you will report to a Senior Staff TLM.","You will:","Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration","Build a data flywheel to automatically generate suitable training data for rare instance sensor degradation events using VLMs","Own the entire sensor validation stack end to end","Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams","You have:","MS in Computer Science, Robotics, Math, Physics or equivalent industry experience","6+ years of experience in designing, training, and deploying ML-driven real-time robotics systems","4+ years of experience leading technical teams and setting technical directions","2+ years of people management experience","We prefer:","PhD in Computer Science, Robotics, Math, Physics, or a related technical field","Experience in robotics, autonomous systems, or related automotive industries.","Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges.","Familiarity with early fusion multi modal sensor models and their development challenges","Experience with rare instance or zero-shot detection problems","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-07-25T14:29:18-04:00","valid_through":null},{"id":"waymo-7121224","url":"https://roboticjobs.ai/jobs/waymo-7121224","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7121224","title":"Senior Software Engineer, Training Efficiency","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, United States","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving. You will improve the runtime efficiency of input data pipelines for large-scale training workloads. This is a unique opportunity to work on ML systems and improve on our model training processes.","You Will:","Design, and improve distributed input data pipelines for large-scale ML training workloads.","Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance.","Improve runtime goodput of ML training workload, including optimizing input data processing systems, ensuring scalability and reliability across distributed environments.","Implement and maintain advanced ML infrastructure tools, including ML Pathways, Grain, JAX, and TensorFlow.","Evaluate and integrate modern technologies to enhance the performance and scalability of ML systems.","Promote best practices for distributed systems architecture and contribute to technical leadership within the team.","You Have:","B.S. in Computer Science, Math, or 5+ years equivalent real-world experience.","Proficient in distributed systems design with an understanding of ML data pipeline optimization.","Experience with ML frameworks, including TensorFlow and JAX.","Hands-on experience libraries like Grain or tf.data service.","Solid programming skills in Python and C++.","Practical familiarity with profiling tools to uncover performance bottlenecks.","We Prefer:","MS in Computer Science, Math","Familiarity with distributed dataflow frameworks like ML Pathways","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-08-11T10:22:06-04:00","valid_through":null},{"id":"waymo-7160937","url":"https://roboticjobs.ai/jobs/waymo-7160937","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7160937","title":"Senior Security Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Senior","detected_skills":[],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Senior Security Engineer","As a Senior Security Engineer, you will be a key contributor in establishing and maintaining robust cybersecurity for Waymo's innovative products and services. You will be responsible for evaluating system elements, defining comprehensive cybersecurity concepts, and performing threat analysis and risk assessments (TARA) in compliance with ISO/SAE 21434. You will define and manage security requirements, determine risk treatment approaches, and collaborate closely with engineering and safety teams throughout the product lifecycle to understand and mitigate practical security and safety implications. Your role will also involve ensuring continuous compliance with relevant standards across multiple projects.","You will:","Evaluate system elements and define item boundaries, considering their operational environments , and devise a comprehensive cybersecurity concept.","Perform threat analysis and risk assessment (TARA) (e.g., Identify threats to assets, evaluate attack feasibility, impact rating, etc) in compliance with ISO/SAE 21434.","Define and manage requirements and determine approaches for proper risk treatment for self-driving platform features that are based on TARA output.","Work with Waymo engineering teams on understanding practical security risks, safety implications, and necessary mitigations, during the entire lifecycle of the product (e.g., concept, development, operation, and incident response)","Partner with safety teams to evaluate safety impact and required interactions between standards defining cybersecurity and functional safety.","Maintain compliance with standards during the entire lifecycle of multiple projects, and perform updates","You have:","Bachelor's degree in Electrical Engineering, Communications Engineering, Automotive Engineering, Computer Science, Physics or similar","A thorough understanding of performing cybersecurity threat and risk assessments on technical designs and architectures of embedded systems or other computer systems.","A solid understanding of cybersecurity fundamentals (e.g., secure communications,security technologies, etc) and their practical deployments","The ability to create & negotiate targets and requirements with Waymo engineering teams.","We prefer:","At least 5 years experience in an security (or similar industry) role delivering software and/or hardware","Thorough understanding of security best practices","Experience writing security requirements for engineering teams","Experience designing security features","Experience working with ISO/SAE 21434 certification and/or UNR 155 type approval","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-08-19T15:28:40-04:00","valid_through":null},{"id":"waymo-7222566","url":"https://roboticjobs.ai/jobs/waymo-7222566","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7222566","title":"Staff Software Engineer, Simulator Platform","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars.","To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies, as well as traditional rendering approaches.","In this hybrid role, you will report to a Senior Staff Engineering Manager.","You will:","Work closely with onboard and research engineers to scale simulation and enable critical Waymo milestones","Support development, testing and evolution of mapping data in the simulator","Improve / monitor the performance, scalability and the reliability of the simulator","Design the long term architecture to fit the product to an increasing number of internal customers","You have:","Hands-on experience building a popular (internal- or external-facing) product.","5+ years of experience with backend knowledge such as workflows, databases, SQL, production monitoring, etc","Strong in C++","Bachelor’s degree (e.g., in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field) or equivalent practical experience.","We prefer:","Experience with the release of software in a highly distributed heterogeneous execution environment","Experience with systems programming (game engines, database, OS, distributed)","Experience with ML","Previous TL experience","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-09-10T12:19:23-04:00","valid_through":null},{"id":"waymo-7249525","url":"https://roboticjobs.ai/jobs/waymo-7249525","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7249525","title":"Senior Machine Learning Engineer, Computer Vision/VLM","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["Python","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","In Semantics, our team's mission is to create the highest-fidelity, most comprehensive offboard perception autolabels at a massive scale, serving as the foundation for training and validating the AV stack. We are an advanced ML and engineering team that leverages state-of-the-art computer vision, deep learning, and generative AI to automatically analyze driving logs, generate rich scene understanding, and power the data engine that enables Waymo to scale safely and efficiently.","In this hybrid role, you will report to a Senior Staff Technical Lead Manager.","You will:","Develop and train state-of-the-art computer vision / multimodal models (e.g., Gemini) to extract the rich semantic information (e.g., object attributes, scene properties, interaction dynamics) required by the AI agent.","Design and implement a scalable AI agent framework that integrates large foundation models (e.g., Gemini) with the outputs of our perception models and internal knowledge bases.","Develop and apply Fine-tuning and Reinforcement Learning (RL) techniques to create a \"data flywheel,\" continuously improving the system's captioning and reasoning abilities through automated feedback.","Develop and prototype novel prompting strategies for Vision-Language Models (VLMs) to elicit complex, causal reasoning about driving scenarios.","Collaborate closely with the ML Infra, Perception, Behavior, and AI Foundation teams to define data requirements and integrate the captioning system into the broader ML development lifecycle.","Own the full system lifecycle, from advanced model development and prototyping to production deployment and scaling for massive data generation","You have:","Master’s degree in Computer Science, or a related technical field.","4+ years of hands-on experience training and shipping deep learning models for computer vision tasks (e.g., detection, segmentation, video understanding) using Python and frameworks like PyTorch, JAX, or TensorFlow.","1+ years of demonstrated experience working with large language models (LLMs) or vision-language models (VLMs) in areas such as fine-tuning, prompting, or Retrieval-Augmented Generation (RAG).","Strong software engineering fundamentals, including designing scalable and reliable systems.","Experience building and managing large-scale data processing pipelines for ML training.","Proven ability to work autonomously and lead complex technical projects in a fast-paced R&D environment.","We prefer:","PhD in Computer Science, or a related technical field.","Publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).","Hands-on experience with Reinforcement Learning, especially RLHF, RLAIF, or applying RL to language/agentic tasks.","Experience with modern techniques in self-supervised, weakly-supervised, or multi-task learning for perception.","Experience building with AI agent frameworks (e.g., LangChain, LlamaIndex) or developing autonomous agentic systems.","Familiarity with the challenges of multimodal perception in robotics or autonomous driving.","A track record of impactful cross-functional collaboration.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-09-16T16:21:41-04:00","valid_through":null},{"id":"waymo-7309064","url":"https://roboticjobs.ai/jobs/waymo-7309064","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7309064","title":"Machine Learning Engineer / Applied Scientist, Prediction & Planning ","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA USA; San Francisco, CA USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$175,000—$215,000","compensation":[{"min":175000,"max":215000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.","You will:","Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction","Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business","Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning","Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production","Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues","You have:","PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience","A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)","Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions","Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch","Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities","We prefer:","Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models","Prior industry experience (e.g. internships) in applied ML research or software development","Domain expertise in solving motion planning, prediction, or related robotics problems","Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$175,000—$215,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:37-04:00","date_posted":"2025-10-08T15:48:21-04:00","valid_through":null},{"id":"waymo-7347335","url":"https://roboticjobs.ai/jobs/waymo-7347335","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7347335","title":"Senior Backend Engineer, Security","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA ; San Francsico, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Senior","detected_skills":["C++"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Want to build the next generation of infrastructure for driverless cars? Join the Waymo Commercialization team, and help design the future of transportation! We are looking for a passionate SWE who wants to help build the systems that manage and optimize Waymo’s fleet management systems.","The ideal candidate is someone who can be self-sufficient and product-minded. You will be working on cross-cutting problems that will require strong cross-team collaboration, both technically (security, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure.","You will:","Help build and evolve one or more mission-critical commercialization tools and systems","Collaborate with Product, Security, and other engineering teams to develop systems and processes as business needs grow and evolve","Solve hard, real-world problems such as vehicle profile, secure parts transactions, vehicle configuration and build key security infrastructure.","You have:","BS degree in Computer Science or equivalent practical experience","7+ years of backend/infra experience","Strong knowledge with security concepts (encryption, authentication,Identity, secure communication protocols, access control)","We prefer:","Compiled language experience (C++, Java or Go)","Experience building microservices","Knowledge of Public Key Infrastructure (PKI) concepts such as:","X.509","CSR generation and signing","Certificate hierarchy","secure key storage","Knowledge of symmetric key generation, derivation and storage","HSM / Hardware backed secure key generation and storage","KDF - AES, HMAC","End to end Secure key provisioning","Knowledge of cryptography, including","cryptographic key types","cryptographic Algorithms","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-10-28T13:45:13-04:00","valid_through":null},{"id":"waymo-7361509","url":"https://roboticjobs.ai/jobs/waymo-7361509","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7361509","title":"Embedded Software Technical Lead & Manager, Simulation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Electrical & Embedded","experience":"Lead & Staff","detected_skills":["C++","Linux"],"advertised_pay":"$281,000—$356,000","compensation":[{"min":281000,"max":356000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000—$356,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is a diverse, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're looking for curious and talented teammates to keep us moving in the right direction.","The Embedded Simulation team enables Waymo to quickly and reliably scale the Waymo Driver across new vehicle & hardware platforms, and to accelerate development of our embedded and reliability software systems. We build both dedicated test properties for embedded and hardware use cases, and also incorporate our technology into full-system behavioral simulation.","In this role, you will report to the Senior Director, R&D Software Engineering","You will:","Lead & manage team responsible for embedded HIL/SIL testing and simulation.","Set strategy for expansion of test & sim infrastructure to support new products and Waymo's scale.","Develop Waymo internal graph-based simulation framework in C++ and improve simulation realism by implementing models of a vehicle and environmental conditions.","Combine past logged data with the output of the models running in a loop for a more representative simulation.","Integrate SIL and HIL simulation with CI/CD pipelines.","Ensure test & sim infrastructure is highly available and reliable.","You have:","Technical leadership of software teams.","Strong knowledge of modern C++","Experience designing, implementing and maintaining production software systems","Linux on advanced user level","Familiarity in Electrical Engineering","We prefer:","People management experience","Passion for HIL simulation","Embedded programming experience","Linux for real-time applications","Knowledge of general-purpose and automotive network systems (Ethernet, CAN, etc.)","Familiarity with the building blocks for datacenter monitoring systems (databases, dashboards, etc.)","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$281,000—$356,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-10-28T09:51:49-04:00","valid_through":null},{"id":"waymo-7361677","url":"https://roboticjobs.ai/jobs/waymo-7361677","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7361677","title":"System Safety Engineer, Operations & Fleet Response","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA; Los Angeles, CA, USA; Kirkland, WA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Other levels","detected_skills":[],"advertised_pay":"$196,000—$248,000","compensation":[{"min":196000,"max":248000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000—$248,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.","In this hybrid role, you will report into one of our System Safety Leads.","You will:","Lead cross-functional efforts to perform safety analyses and identify potential hazard and their causes, assess safety risks (qualitatively and quantitatively), support the definition of safety requirements, inform design decisions, propose mitigations, and support verification strategies","Participate in hardware, software, and operations design and readiness reviews and discussions to help ensure that safety mitigations and requirements are addressed and ensure the safety mitigations are working effectively in the field","Provide guidance on the adoption and adaptation of relevant safety standards, and industry best practices, and help ensure Waymo and its partners comply with relevant safety regulations","Evaluates the continued effectiveness of implemented risk control strategies; supports the identification of new hazards","Provide leadership in defining, implementing, and improving relevant System Safety processes while promoting our safety culture inside Waymo","Provide leadership in integrating the System Safety Methodology with other methodologies of the Waymo safety framewor","You have:","Bachelor of Science in Electrical/Mechatronics/Aerospace Engineering, Computer Engineering, Computer Science, or related technical fields","Strong technical project management skills with the ability to manage multiple parallel projects","7+ years of relevant engineering work experience that includes minimum 5 years of System Safety engineering","Proficient in selecting and performing appropriate inductive/deductive safety analyses in order to efficiently identify hazards and their level of risk","Proficient in applying Systems Engineering principles including defining SMART safety mitigations/requirements and collaborating on effective verification and validation methods","Extensive background in risk management and aligning risk based decisions with stakeholders","We prefer:","A Master’s degree or PhD in Electrical/Mechatronics/Aerospace Engineering, Computer Engineering, Computer Science, or related technical fields","Experience in complex, safety critical fleet operations and the impact to hardware, software, and systems design","Travel:","Ability to travel approximately 5% of the time","In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:","Health, dental, vision, life, disability insurance","Retirement Benefits: 401(k) with company match","Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment","Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)","Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks","Baby Bonding Leave: 18 weeks","Holidays: 13 paid days per year","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$196,000—$248,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-10-28T20:46:44-04:00","valid_through":null},{"id":"waymo-7382506","url":"https://roboticjobs.ai/jobs/waymo-7382506","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7382506","title":"Senior Android Platform Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"San Francisco, CA, USA; Mountain View, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":[],"advertised_pay":"$170,000—$216,000","compensation":[{"min":170000,"max":216000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000—$216,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's commercial service is running in five cities, and the associated infrastructure is in an early stage and requires investment for Waymo to grow into a high scale, world-class service.","We are building a team of engineers dedicated to further developing our Android Platform team. Our team works on the user interfaces used by customers to interact with our autonomous vehicles as well as provide entertainment and information while riding. This is a fullstack team, managing the bring up and maintenance of a complete automotive grade Android system.","In this hybrid role, you will report to an Engineering Manager.","You will:","Evaluate SoC vendor development kits","Develop update mechanism for Android OS and applications","Work with vendors, HW team and other stakeholders to define requirements for next UX platform","Bring up Android on new hardware","Provide technical support for other teams working on our Android devices","You have:","BS/MS degree in Computer Science or equivalent experience","3+ years of software development experience","Experience working with low-level Android/AOSP (building Android platform features, frameworks), not just developing apps on top of Android","Worked with git, repo and gerrit","We prefer:","Brought up Android on new hardware, or customized a build of Android for a new hardware variant","Experience with security aspects of Android, SELinux and key provisioning","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$170,000—$216,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-11-07T16:29:52-05:00","valid_through":null},{"id":"waymo-7387093","url":"https://roboticjobs.ai/jobs/waymo-7387093","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7387093","title":"Tech Lead Manager- Onboard Software Performance","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","CUDA"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Onboard Software Performance team ensures that systems running on ADV (Autonomously Driven Vehicle) meet strict performance requirements such as producing necessary outputs within strict latency targets and using an appropriately allocated amount of compute resources (CPU/GPU/TPU/RAM etc) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while enabling high velocity of system evolution.","In this hybrid role, you will report to a Senior Staff Engineer, Technical Lead Manager.","You will:","Develop ADV's modular architecture improvements and frameworks that maximize performance and compute utilization and ROI for driving quality","Evolve our compute usage on the car and simulation to enable continued scaling where the system runs fast on the car and efficiently in our data center","Collaborating with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance/driving quality","Collaborating with hardware teams to codesign hardware/software and optimize the software for best performance on our hardware platform","Ensuring our performance is strong at any driving complexity including as we scale to even more complex driving environments and encounter rarer events","Ensuring state of the art reaction latency for collision avoidance via novel system/architecture designs and extremely fast nominal performance","Developing necessary high scale performance evaluation, debugging and software change management processes","Optimizing system resource usage to simulation at scale in Cloud datacenters: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU.","You have:","BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)","6 years of software engineering experience on large scale/high complexity system (supported by hundreds of engineers)","2 years of software management experience with at least 4 years in infrastructure/systems/performance domain optimizing end to end system for high performance metrics","4 years of experience acting as technical lead in performance/software infrastructure domain","4 years of experience in C++","Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space","Setup collaboration structures across team boundaries","We prefer:","Experience in robotics","Experience in low level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks","Experience in large scale evaluation techniques/data science and building performance metrics/tooling","Experience in large scale software re-architecture projects","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-11-24T18:05:06-05:00","valid_through":null},{"id":"waymo-7421737","url":"https://roboticjobs.ai/jobs/waymo-7421737","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7421737","title":"Senior Staff ML Engineer, Driver Understanding and Evaluation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View,  CA, United States ","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["Python"],"advertised_pay":"$281,000—$356,000","compensation":[{"min":281000,"max":356000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000—$356,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo Driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques. These techniques are for the Evaluation systems on our autonomous service. They will serve as a constant driver to improve the performance of our technology stack.","You will:","Grow the end-to-end strategy for our next generation of machine learning-based evaluation metrics, promoting scientific and statistical rigor across our embodied AI applications","Architect and build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors","Lead the design, implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors","Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions. These solutions will enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies","Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system","Provide technical mentorship, guidance, and thought leadership to other engineers within the team and across collaborating groups","Guide and align multiple teams—including Driver Understanding, Simulation, System Engineering, Research, and Onboard Software—on a cohesive evaluation strategy, ensuring cross-functional alignment on goals and priorities","You have:","PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience","10+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning","2+ years of people management experience","Demonstrated expertise in deep learning, sequence modeling, and generative models","Strong publication record or history of impactful project delivery in RL or related areas","Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow)","Experience with large-scale distributed training and data processing","Proven ability to lead complex and ambiguous technical projects from conception to completion","We prefer:","12+ years of relevant experience in ML/RL research and application","Experience in the autonomous vehicles domain, robotics, or complex simulation environments","Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences)","Familiarity with large-scale simulation platforms and their integration with ML training workflows","Experience designing and using metrics for evaluating complex AI systems","Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries","Excellent communication skills, with the ability to articulate complex technical concepts clearly","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$281,000—$356,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-05T16:22:47-05:00","valid_through":null},{"id":"waymo-7426952","url":"https://roboticjobs.ai/jobs/waymo-7426952","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7426952","title":"Senior Fullstack Software Engineer, Workshop Management","employer":{"id":"waymo","name":"Waymo"},"location":"San Francisco, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$170,000—$216,000","compensation":[{"min":170000,"max":216000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000—$216,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo’s commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo’s ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems.","Team: Fleet Management","Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software.","In this hybrid role, you will report to an Engineering Manager.","You will:","Design, develop, test, and optimize Angular applications using Typescript and modern development techniques.","Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets.","Collaborate with Product, UX, and other engineers to design and develop internal user-facing products.","Ship solutions to novel problems that arise in a fast-paced environment.","collaborative - work across team boundaries","cross-functional - work with PM, UX, legal, operations, or other non-engineering roles","independence / leadership - take ownership and drive efforts to completion","You have:","Bachelor's degree in Computer Science or equivalent practical experience.","4+ years of experience in full-stack development.","Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript.","Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue).","Interest in backend development.","Experience with 3rd party integrations and public APIs","We prefer:","Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent","Backend experience in Java, Python, Go, C++ or similar.","Working knowledge of frontend frameworks (e.g. Angular, Dart)","Scalability experience","Experience in the automotive industry","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$170,000—$216,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-17T12:34:18-05:00","valid_through":null},{"id":"waymo-7429718","url":"https://roboticjobs.ai/jobs/waymo-7429718","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7429718","title":"Staff Machine Learning Engineer, Infrastructure","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["PyTorch"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Join our ML Infrastructure engineering team advancing state-of-the-art ultra-realistic multi-agent simulations using foundation models. In this role, you will work at the intersection of ML infrastructure, foundation models, and simulation engineering, with a specific focus on writing high-performance business and simulation logic in JAX/TensorFlow running directly on TPUs to power realistic environments for Reinforcement Learning (RL).","What You'll Do","Design, build, and optimize realistic simulation environments and business logic running on TPUs using JAX and TensorFlow. Implement and optimize large-scale model and data parallelism strategies for training and running foundation models on TPU hardware.","Collaborate closely with modeling teams to integrate foundation models into simulation pipelines.","Drive technical architectures and system designs from data engineering through simulation execution to meet business and performance objectives.","Profile systems, identify performance bottlenecks across ML accelerators, and optimize end-to-end execution speed.","Translate product and business goals into concrete technical requirements and system deliverables.","Minimum Qualifications","6+ years of professional software engineering experience, with at least 4 years focused on machine learning infrastructure (scaling, training, optimizing, and deploying large-scale ML systems).","Direct ML programming experience on TPU and GPU hardware using frameworks such as JAX, PyTorch, or TensorFlow.","Proven hands-on experience scaling large models using model parallelism, data parallelism, or distributed training techniques.","Strong understanding of state-of-the-art ML models (e.g., autoregressive transformers) and hands-on proficiency with ML accelerator profiling tools to diagnose bottlenecks.","Demonstrated ability to independently lead ambiguous technical initiatives end-to-end and build robust libraries, pipelines, and developer tooling.","Strong verbal and written communication skills to collaborate effectively across distributed, cross-functional teams.","Preferred Qualifications","Practical experience in Reinforcement Learning (RL), Sim2Real transfer, or Robotics.","Experience with distributed ML frameworks and accelerators like GPU/TPU.","Domain familiarity with Autonomous Driving systems, multi-agent simulations, or realistic world modeling.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-08T16:56:12-05:00","valid_through":null},{"id":"waymo-7429791","url":"https://roboticjobs.ai/jobs/waymo-7429791","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7429791","title":"Staff Machine Learning Engineer, Mapping","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","PyTorch"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data.","In this hybrid role, you will report to an Engineering Manager","In this role, you will:","Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver.","Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation.","Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization.","Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions.","You have:","8+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning.","Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX).","Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results.","B.S. in Computer Science, a similar technical field, or equivalent practical experience.","It's a Bonus if you have:","M.S. or Ph.D. degree in Computer Science or a related discipline.","Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation).","A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).","Experience with C++.","Direct experience with mapping or GIS is a bonus but not required.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-09T16:22:20-05:00","valid_through":null},{"id":"waymo-7429795","url":"https://roboticjobs.ai/jobs/waymo-7429795","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7429795","title":"Senior Software Engineer, Internal Tooling","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, US","work_mode":"See listing","discipline":"Software & Simulation","experience":"Internship","detected_skills":["C++","Python"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer.","You will:","Design and implement reliability tooling software infrastructure to help engineering, product, and operations understand and apply insights about AV fleet reliability","Collaborate with a wide variety of cross-functional teams to understand needs and areas of opportunity, product requirements, and technical implementation for various reliability-related software tools","Perform basic analyses of reliability data, understand it’s context, and create reports, with an aim to automate the processes if required to run regularly","Review related designs and code from peer engineers","Document tooling for multiple users, from executives, to operations, to engineering power users needing to work “under the hood” and have access to tooling APIs","You have:","BS in Computer Science, similar discipline, or equivalent work experience","3+ years SWE experience","2+ years working with C++","We prefer:","1+ year working with Python","Experience with Google Infrastructure","Experience with SQL","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2026-01-07T14:45:41-05:00","valid_through":null},{"id":"waymo-7429828","url":"https://roboticjobs.ai/jobs/waymo-7429828","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7429828","title":"Senior Software Engineer, Mapping Field Response","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map.","In this role, you will:","Own business-critical systems for taking low latency actions in response to signals from Waymo’s fleet","Develop algorithms and infrastructure for keeping the map fresh","Build robust backend infrastructure and data processing that will scale with Waymo’s growth","Make high-impact contributions across Waymo’s Mapping stack including infrastructure development, algorithm advances, and tooling improvements","You have:","Backend engineer with experience building server-side infrastructure and data processing","Solid coding skills (C++ preferred)","> 4 years of total experience","Strong sense of ownership and ability to thrive in ambiguity","Proven track record of being able to apply a broad range of skills to effectively solve business problems","It's a Bonus if you have:","Master’s in Computer Science, Robotics or related field","Experience in AV industry or Mapping","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-22T17:43:57-05:00","valid_through":null},{"id":"waymo-7429873","url":"https://roboticjobs.ai/jobs/waymo-7429873","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7429873","title":"Software Engineer, Vehicle Platforms C++","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, US","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["C++"],"advertised_pay":"$170,000—$216,000","compensation":[{"min":170000,"max":216000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000—$216,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering in the Hardware organization is where software meets the physical world. You will work on critical systems that manage autonomous vehicle functions, with teams such as Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation and Embedded Simulation. We are looking for strong generalist software engineers to work across a wide array of domains, including embedded, controls, sensor processing, manufacturing calibration, simulation, data analysis, and also building higher-level state machines, interfaces and flows for fault management and automation.","You will have a direct & material impact on the ability of Waymo to scale to more vehicles and cities.","This role follows a hybrid work schedule and you will report to a Software Engineer.","You will:","Develop high-quality vertically-integrated C++ software systems (on-vehicle and off-vehicle software) to manage autonomous vehicle functions.","Analyze field data (logs) and simulation results.","Participate in cross-functional workflows (e.g., requirement reviews, project planning).","You have:","Degree (BS, MS) in Computer Engineering, Computer Science, or similar or equivalent practical experience.","At least 2+ years of professional experience developing production software in modern C++ (i.e., C++17, C++20, etc.)","This role is specifically for C++ and not for C/C++.","Experience in at least one of: real-time / embedded systems or complex / distributed systems.","We prefer:","Experience developing for and troubleshooting complex / distributed systems (e.g., vehicle gateway, backend software).","In-depth understanding of microcontroller-based Embedded Systems and associated development and debugging tools.","Working experience with safety critical systems / functional safety.","Open source projects that demonstrate dedication to crafting high quality C++ software.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$170,000—$216,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-13T14:18:25-04:00","date_posted":"2025-12-05T19:19:24-05:00","valid_through":null},{"id":"waymo-7438328","url":"https://roboticjobs.ai/jobs/waymo-7438328","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7438328","title":"Senior Data Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","You will:","Translate business requirements into conceptual, logical, and physical data models.","Define core data concepts for Waymo commercialization and implement models in the database.","Design, build, and maintain data warehouse and pipeline solutions. Bring in and transform raw data that can be easily used to generate reports and insights for Waymo’s commercialization tracking and optimization.","Ensure proper handling of PII and ACL. Implement a data quality framework, and maintain documentation.","Be highly collaborative and work closely with data producers and data consumers across Waymo to understand the data needs, provide consultation, and align data solutions.","You have:","6+ years of professional experience in data engineering or a related field","Proven track record of building complex data engineering projects architectures from conception to deployment","Experiences of designing and implementing data warehousing or data lake solutions like Google BigQuery and Snowflake, optimizing them for complex analytical queries and reporting","Deep knowledge of relational and NoSQL databases","Expertise in designing and implementing scalable data models, data quality frameworks, and data governance practices","Proficient in SQL. Familiar with at least one of languages in Python, C++, or Java","We prefer:","Familiarity with distributed processing frameworks and tools like Spark, Hadoop, or Kafka, handling massive datasets for real-time or batch analytics","Deep understanding of data privacy, security, quality, correctness, and efficiency tradeoffs","Proven track record of driving collaboration effectively across organizational boundaries, building multi-dimensional stakeholder relationships, and importing and exporting ideas to achieve broad organizational goals","Experience in leading projects and driving collaborating with cross-functional teams.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-09T16:11:59-05:00","valid_through":null},{"id":"waymo-7438645","url":"https://roboticjobs.ai/jobs/waymo-7438645","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7438645","title":"Sr Software Engineer, Telematics","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["C++","Linux"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry.","You will join the System Software Team and focus on the Telematics unit—the critical Linux-based gateway responsible for all data flow in and out of the autonomous vehicle. This includes vital functions like real-time diagnostics, over-the-air (OTA) software updates, and high-bandwidth telemetry. You will be essential in developing, securing, and maintaining the connectivity infrastructure that enables Waymo's fleet to operate and improve continuously.","In this role you will:","System Software Development: Work on a small team of System Software and Linux Kernel Engineers to design, develop, and deploy production-grade system software components for driverless vehicles, from initial prototyping through launch.","Linux OS Ownership: Maintain and upgrade the operating system of the Telematics unit, including Linux kernel, device drivers, and core OS services.","Networking & Connectivity: Design and implement robust, high-performance networking solutions, focusing on reliable data transfer over wifi and cellular modems.","Infrastructure & Testing: Design and implement comprehensive testing methodology and infrastructure to ensure the reliability and security of low-level software and seamless deployment of updates across the fleet. Leverage automated testing of hardware to exercise low-level hardware-software systems.","Cross-Functional Problem Solving: Collaborate effectively with hardware partners (SoC vendors, ODMs) and internal engineering teams to tackle ambiguous, cross-disciplinary system challenges.","Network Topology: Contribute to the design and implementation of depot network topologies for efficient vehicle servicing.","At a minimum, we'd like you to have:","Education: BA/BS degree in Computer Science, Electrical Engineering, or a relevant technical field, or equivalent practical experience.","Programming: Proficiency in C and C++ is required.","Linux Expertise: 3+ years of experience developing, debugging, and deploying software in a Linux environment.","Networking Fundamentals: A strong understanding of the IP-based networking stack and experience with its configuration and debugging in a Linux context.","It's preferred if you have experience with:","Embedded Linux: Experience with Embedded Linux build systems such as Yocto or Buildroot.","Low-Level Software: Experience in Linux kernel and device driver development.","Wireless Technologies: Working knowledge of Wi-Fi (especially in congested environments), cellular and Bluetooth protocols.","Hardware Debugging: Working knowledge of hardware bring-up and debugging, including the ability to read schematics/datasheets and use common tools (oscilloscopes, multimeters, logic analyzers).","Testing Infrastructure: Experience building and maintaining testing infrastructure for OS, kernel, and other low-level code, including HIL testing stations.","Vendor Collaboration: Experience successfully collaborating with diverse industry partners (CM, ODM, OEM, or ISV).","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-09T14:46:51-05:00","valid_through":null},{"id":"waymo-7438665","url":"https://roboticjobs.ai/jobs/waymo-7438665","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7438665","title":"Sr Software Engineer, Android Automotive","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["C++","Python","Linux"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry.","We are seeking an experienced Android System Software Engineer to join our team in developing the In-Vehicle Infotainment (IVI) platform for our next-generation, in-house System-on-Chip (SOC). This role requires a strong foundation in low-level OS fundamentals, embedded software, and a proactive approach to validating and ensuring the hardware meets critical software performance requirements.","In this role you will:","System Bring-up & Integration: Implement and integrate low-level software, including bootloader configuration, device trees, and kernel porting during the initial hardware bring-up phase.","OS/Kernel Development & Optimization: Customize, optimize, and debug the Linux Kernel and relevant parts of the Android Open Source Project (AOSP) for the partner SOC, ensuring robust and efficient operation.","Hardware Abstraction Layer (HAL) Implementation: Develop and maintain reliable Vendor HALs to interface the unique in-house hardware IP (e.g., security modules, power management units, display controllers) with the Android framework.","Performance Engineering: Drive system-level performance optimization, including boot time reduction, scheduling tuning, thermal management, and power efficiency based on the SOC's specific architecture.","Ambiguity Resolution: Proactively manage and clarify technical requirements for features that are still actively being defined internally, rapidly documenting and stabilizing interfaces for the broader software team.","At a minimum, we'd like you to have:","Education: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field.","Minimum 3+ years of professional software development experience, with a focus on embedded systems, low-level Android, or OS development.","Deep expertise in OS Fundamentals: Strong working knowledge of the Linux Kernel (e.g., device drivers, memory management, IPC, scheduling) and embedded operating systems concepts.","Experience Interfacing with Hardware Teams: Proven ability to read hardware specifications (datasheets, block diagrams) and effectively communicate software requirements, providing constructive technical feedback on hardware design choices.","Proficiency in C/C++ is essential, along with experience in scripting languages (Python/Shell) for tooling and automation.","Solid understanding of Android System Development: Hands-on experience modifying, debugging, and building AOSP, including familiarity with Android HALs, Treble/VNDK, and system debugging tools.","Adaptability and Initiative: Demonstrated ability to thrive in an environment where technical specifications are evolving, requiring proactive problem-solving and definition of solutions.","It's preferred if you have:","Direct experience developing or integrating systems using Android Automotive OS or Android for embedded/IVI environments.","Experience with system security fundamentals, particularly implementing or debugging secure boot and trusted execution environments (TEEs).","Experience with system-level virtualization technologies (e.g., KVM, hypervisors, secure separation) for embedded or automotive platforms.","Experience with audio stacks (e.g., ALSA, Audio HAL, Android AudioFlinger) or visual/graphics stacks (e.g., SurfaceFlinger, V-sync, display pipelines).","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-19T10:17:44-05:00","valid_through":null},{"id":"waymo-7442152","url":"https://roboticjobs.ai/jobs/waymo-7442152","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7442152","title":"Staff Machine Learning Engineer(TLM), Driver Understanding and Evaluation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; New York, NY, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver.","The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack.","You will:","Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows","Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection","Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system.","Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback","Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles.","Drive technical direction, and provide technical inputs and guidance to the team.","Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.","Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.","You have:","B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience","7+ years of experience with hands-on experience in machine learning projects","Strong coding experience in C++ and/or Python.","Experience in at least one of: Foundational Models, VLM, Deep Learning","Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale","We prefer:","M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.","10+ years of experience with hands-on experience in machine learning projects","Deep learning experience with Transformers","Gen AI LLM/VLM experience","Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.","Large-scale data processing and analytical skills.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-05T11:59:28-04:00","date_posted":"2025-12-10T21:59:18-05:00","valid_through":null},{"id":"waymo-7449712","url":"https://roboticjobs.ai/jobs/waymo-7449712","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7449712","title":"Software Engineer, Perception Scaling Evaluation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++"],"advertised_pay":"$175,000—$215,000","compensation":[{"min":175000,"max":215000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale.","Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities.","The Sensor Health team's job is to make sure that sensors \"just work\" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.","In this hybrid role, you will report to a Technical Lead Manager.","You will:","Dive deep into the Waymo Driver’s perception stack and build a deep understanding of its capabilities in various driving conditions","Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors","Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology","Architect high-scale, mission-critical automation and evaluation frameworks that establish the \"ultimate truth\" for the safety, performance, and reliability of the Waymo Driver","Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults","Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews","You have:","BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience","2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products","Experience developing and conducting eval for large ML software systems","Strong experience programming in C++ with robust and efficient code","We prefer:","MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience","Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)","Strong software architecture skills","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$175,000—$215,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-10T20:09:52-05:00","valid_through":null},{"id":"waymo-7450706","url":"https://roboticjobs.ai/jobs/waymo-7450706","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7450706","title":"Staff Tech Lead, Machine Learning Engineer, Perception","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, United States; San Francisco, California, United States","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.","In this hybrid role, you'll report to a Staff Technical Lead Manager.","You will:","Lead the design and development of multi-sensor, multi-task model architectures for dense and complete scene understanding with a focus on key tasks including object detection, occupancy prediction, road understanding, and trajectory planning.","Architect and develop the foundational modeling libraries and software powering model development and experimentation.","Design and implement scalable core model components, including sensor encoders, sensor fusion modules, backbones, and temporal aggregation / memory blocks.","Adapt SOTA ML technologies to unique compute requirements, leading optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets.","Drive rapid prototyping by building and maintaining flexible pipelines and development environments for fast iteration on novel model designs, enabling seamless integration of field advancements and in-depth analysis of model training dynamics and learned representations.","You have:","Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience","7+ years experience in Machine Learning and/or Computer Vision","Strong expertise in Python and C++ and a solid software engineering background","Experience with ML frameworks like PyTorch, JAX, or Tensorflow","We prefer:","MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline","Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-09T13:49:15-05:00","valid_through":null},{"id":"waymo-7455592","url":"https://roboticjobs.ai/jobs/waymo-7455592","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7455592","title":"Data Scientist","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA; San Francisco, California, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["Python"],"advertised_pay":"$170,000—$216,000","compensation":[{"min":170000,"max":216000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000—$216,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.","In this hybrid role you will report to a Data Science Manager.","You will:","Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.","Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.","Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.","Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.","Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.","You have:","Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)","3+ years of industry experience solving data science problems or a PhD in a quantitative field","Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models","Demonstrated knowledge of Python/SQL/R data analysis libraries and packages","We prefer:","PhD in a quantitative field","Experience solving problems related to Autonomous Driving or Ride Hailing","Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$170,000—$216,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-17T16:52:25-05:00","valid_through":null},{"id":"waymo-7456042","url":"https://roboticjobs.ai/jobs/waymo-7456042","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7456042","title":"Senior Data Scientist","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA; San Francisco, California, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["Python"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.","In this hybrid role you will report to a data science manager.","You will:","Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.","Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.","Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.","Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.","Derive data-driven conclusions and communicate findings to senior stakeholders.","Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success.","Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.","Mentor other data scientists and provide constructive technical feedback within the team and across Waymo.","You have:","Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)","5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience","Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models","Demonstrated knowledge of Python/SQL/R data analysis libraries and packages","We prefer:","PhD in a quantitative field","A demonstrated track record of independently driving data science projects to deliver business value","Experience solving problems related to Autonomous Driving or Ride Hailing","Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-17T17:09:14-05:00","valid_through":null},{"id":"waymo-7456163","url":"https://roboticjobs.ai/jobs/waymo-7456163","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7456163","title":"Software Quality Operations Specialist","employer":{"id":"waymo","name":"Waymo"},"location":"Remote, USA","work_mode":"Remote","discipline":"Software & Simulation","experience":"Other levels","detected_skills":[],"advertised_pay":"$130,000—$160,000","compensation":[{"min":130000,"max":160000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $130,000—$160,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.","Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our TechnicalSpecialists, are critical to this expansion, enabling us to scale safely and efficiently.","Why this team is Essential to Waymo's Success:","In this role you will:","Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.","Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs","Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.","Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance.","Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals","Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.","A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment.","Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment.","You have:","BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations","Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.","Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.","Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.","Must have the ability to provide occasional on-call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team.","We prefer:","Demonstrated strong execution with ability to drive outcomes.","Experience working with offshore teams / multiple local operations hubs.","Basic SQL querying.","Competency in LLM / transformer models, and / or ML for robotics domain experience.","A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions.","Self-motivated with basic skills in task planning and time management.","In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:","Health, dental, vision, life, disability insurance","Retirement Benefits: 401(k) with company match","Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment","Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)","Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks","Baby Bonding Leave: 18 weeks","Holidays: 13 paid days per year","This is a remote position.","(Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$130,000—$160,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-17T11:42:15-05:00","valid_through":null},{"id":"waymo-7456696","url":"https://roboticjobs.ai/jobs/waymo-7456696","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7456696","title":"Senior Machine Learning Engineer, Robotics","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.","The Sensor Foundations Team’s purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning.","This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.","You will:","Transition low-level Perception tasks from algorithms to machine learning","Work on system integration and optimization","Evaluate task-level and system-level quality, developing new metrics as needed","You have:","Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study","5+ years of industry experience","Strong C/C++ skills","Proficiency with Python","Experience with Computer Vision and Machine Learning","Experience with System Integration","We prefer:","Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline","Experience with sensor data processing (Lidar, camera, or radar)","Experience in the AV industry","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-20T10:17:56-05:00","valid_through":null},{"id":"waymo-7456936","url":"https://roboticjobs.ai/jobs/waymo-7456936","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7456936","title":"Senior Machine Learning Engineer, Maneuvering Tech","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA; Pittsburgh, PA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Driver Refinement and Validation’s (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.","You will:","Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business","Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning","Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production","Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors","You have:","MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience","5+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments","Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities","Expertise with modern deep learning frameworks, such as JAX or PyTorch","We prefer:","Experience in deep learning, reinforcement learning, and ML systems","Domain expertise in solving prediction, behaviors, motion planning, or related robotics problems","ML post-training experience","Prior industry experience (e.g. internships) in applied ML or software development","Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:38-04:00","date_posted":"2025-12-15T11:37:54-05:00","valid_through":null},{"id":"waymo-7458013","url":"https://roboticjobs.ai/jobs/waymo-7458013","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7458013","title":"Staff Data Scientist","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA; San Francisco, California, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["Python"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo’s growth priorities.","In this hybrid role you will report to a Data Science Lead.","You will:","Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo.","Directly influence the portfolio of evaluation signals relied on by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts.","Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc.","Become an expert in Waymo’s evaluation ecosystem for onboard software. Understand how a broad variety of evaluation signals affect Waymo’s launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria.","Collaborate with product and engineering teams to build solutions for assessing Waymo’s evaluation portfolio at scale and accelerate the development for new evaluation.","Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement.","You have:","Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)","Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems","Solid statistical background. Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models","Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL","Strong communication/leadership to address a high surface area across different organizations and products","Ability to navigate through ambiguous business requirements and propose a clear technical solution","We prefer:","PhD in a quantitative field","Experience developing production-grade software and tools","Experience as the technical lead for a broad data science area. A demonstrated track record of independently driving data science projects to deliver business value","Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems","Experience solving problems related to Autonomous Driving or Ride Hailing","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-19T16:46:11-05:00","valid_through":null},{"id":"waymo-7458098","url":"https://roboticjobs.ai/jobs/waymo-7458098","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7458098","title":"Software Quality Operations Specialist","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, United States; San Francisco, CA, United States; Remote, United States","work_mode":"Remote","discipline":"Software & Simulation","experience":"Other levels","detected_skills":[],"advertised_pay":"$130,000—$160,000","compensation":[{"min":130000,"max":160000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $130,000—$160,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.","Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our TechnicalSpecialists, are critical to this expansion, enabling us to scale safely and efficiently.","Why this team is Essential to Waymo's Success:","In this role you will:","Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.","Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs","Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.","Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance.","Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals","Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.","A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment.","Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment.","You have:","BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations","Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.","Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.","Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.","Must have the ability to provide occasional on-call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team.","We prefer:","Demonstrated strong execution with ability to drive outcomes.","Experience working with offshore teams / multiple local operations hubs.","Basic SQL querying.","Competency in LLM / transformer models, and / or ML for robotics domain experience.","A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions.","Self-motivated with basic skills in task planning and time management.","In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:","Health, dental, vision, life, disability insurance","Retirement Benefits: 401(k) with company match","Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment","Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)","Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks","Baby Bonding Leave: 18 weeks","Holidays: 13 paid days per year","(Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$130,000—$160,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-17T11:38:44-05:00","valid_through":null},{"id":"waymo-7458393","url":"https://roboticjobs.ai/jobs/waymo-7458393","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7458393","title":"Software Quality Operations Specialist","employer":{"id":"waymo","name":"Waymo"},"location":"London, UK","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":[],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Software Quality Operations (SWQOps) team is at the heart of enabling safe and successful scale-up into new international markets and incubating mission-critical, high-impact workflows. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.","Why This Team is Essential to Waymo's Success:","Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026, including international expansion to London and Tokyo) and launching new vehicle platforms. SWQOps, especially our Technical Specialists, plays a critical role in this expansion, making it possible to scale safely and efficiently. We are on the front lines of:","International RO & New Market Readiness: Concerted effort to update triage policy, standing Voice of Customer in new countries. Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights to Product and Data Science partners.","Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster international expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.","Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver.","Workflow Incubation & Development: Incubating high-impact workflows and ensuring readiness for automation and long-term operational excellence.","You will:","Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. Provides technical requirements to Engineering for tooling that supports new market workflows (e.g., localization of ML/Gen-AI models, new data pipelines).","Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs","Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.","Design and implement robust quality control processes for both human and AI-generated outputs. Designs and validates new triage policies, SOPs, and quality control processes specifically for London/Tokyo driving rules and data signals.","Act as the Subject Matter Expert for technical policies and guidelines in the new market. Consult with local/international stakeholders to ensure seamless adoption of technical policies.","Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.","You have:","BS/BA degree or 8+ years of relevant work experience in AV Software Quality Operations","Strong understanding of driving rules and regulations in European (London) metropolitan areas.","Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.","Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.","Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.","A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment","Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment","We prefer:","Demonstrated strong execution with ability to drive outcomes","Demonstrated experience working with international and/or offshore vendor teams to drive global process standardization and quality","Basic SQL querying","Competency in LLM / transformer models, and / or ML for robotics domain experience","A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved solutions","Self-motivated with basic skills in task planning and time management","Experience with project management or program management in a global, distributed environment","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","£97,000—£105,000 GBP"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-02-09T15:10:46-05:00","valid_through":null},{"id":"waymo-7460470","url":"https://roboticjobs.ai/jobs/waymo-7460470","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7460470","title":"Technical Lead Manager, Machine Learning, Maneuvering Tech","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA; San Francisco, California, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.","In this hybrid role you will report to a Technical Lead Manager, Senior Staff Engineer.","You will:","Provide technical leadership for onboard motion planning systems that improve low-speed maneuvering performance","Improve evaluation capabilities to better understand on-road performance","Provide mentorship for junior engineers on the team","Investigate driving behavior issues from logs and understand the root cause","Develop foundational frameworks that help advancement of the Waymo Driver's capabilities","Directly contribute to solving some of the most challenging driving situations in the long tail.","You have:","MS/PHD in Computer Science, ML, Robotics, similar technical field of study, or 4+ years of equivalent practical experience","General software engineering experience programming in C++ with robust and efficient code","Ability to collaborate within and across teams","1+ year of management experience years with 5+ reports","We prefer:","AV or Robotics experience","Experience with Machine Learning models in production systems","Experience in graph search, optimization, or path planning algorithms","8+ years of Software Engineering experience in complex systems","Coding proficiency in Python and SQL","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-10T19:08:13-05:00","valid_through":null},{"id":"waymo-7466529","url":"https://roboticjobs.ai/jobs/waymo-7466529","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7466529","title":"Senior Software Engineer, Bulk/Interactive Inference","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.","We’re looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.","In this hybrid role, you will report to the Head of ML Platform- Senior Staff Software Engineer.","You will:","Develop Waymo's inference platform to make it scalable, high throughput, and low latency","Work closely with other teams across Waymo in hosting both internal and external ML models, including LLMs","Improving the efficiency of running inference on these large models to increase throughput and save cost","Deploy and integrate model inference solutions across a variety of use cases, such as distillation, eval, dataset generation, active learning, and auto-labeling","You have:","5+ years of professional experience in the field of software engineering","Experience in programming C++","Experience with building highly scalable distributed system","We prefer:","Passionate about building internal infra and tools","Experience with building model hosting and inference solutions","Experience with handling datasets in the order of exabytes","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-16T15:47:12-05:00","valid_through":null},{"id":"waymo-7477172","url":"https://roboticjobs.ai/jobs/waymo-7477172","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7477172","title":"Senior Software Engineer, Quantitative Evaluations","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!","This role follows a hybrid work schedule and reports to anEngineering Manager.","You will:","Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.","Use simulation creatively and mine real world driving logs to measure driving performance.","Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.","Champion code health and best practices in a large and complex code base.","Analyze data and make recommendations on how to improve metric quality and interpretability.","Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.","You have:","BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area","Strong self-motivation to navigate complex systems and pursue open-ended problems to completion","2-3 years of industry experience with","Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL","Performing statistical analyses","Building data processing pipelines","Writing, reviewing, and merging code following industry standards for code health and maintainability","Quant/data fluency is a top requirement","We prefer:","Experience coding in C++","Experience with ML","Experience with A/B experiment infrastructure","Experience building and validating metrics to measure quality in complex systems","Exposure to ad-hoc data analysis tools for rapid modeling and prototyping","Experience working in the AV industry","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-18T01:38:27-05:00","valid_through":null},{"id":"waymo-7483051","url":"https://roboticjobs.ai/jobs/waymo-7483051","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7483051","title":"Staff Technical Lead Manager, Simulation, Machine Learning ","employer":{"id":"waymo","name":"Waymo"},"location":"New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.","This role follows a hybrid work schedule and reports to an Engineering Manager.","You will:","Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI.","Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows","Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection","Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback","Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.","Drive technical direction, and provide technical inputs and guidance to the team.","Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.","Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.","You have:","B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience","5+ years of experience leading engineering teams of 5-15 people","7+ years of experience with hands-on experience in machine learning projects","7+ years of hands-on experience building and deploying machine learning products in production environments","Experience in at least one of: Foundational Models, VLM, Deep Learning","Strong coding experience in C++ and/or Python.","Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale","We prefer:","M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.","Deep learning experience with Transformers","Gen AI LLM/VLM experience","Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.","Large-scale data processing and analytical skills.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-18T01:37:22-05:00","valid_through":null},{"id":"waymo-7484282","url":"https://roboticjobs.ai/jobs/waymo-7484282","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7484282","title":"Senior Android Engineer, In-Car Experience","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, US; San Francisco, CA, US","work_mode":"See listing","discipline":"Systems & Integration","experience":"Senior","detected_skills":[],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","We are building a team of engineers dedicated to further developing our in-car experience.","Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space.","In this hybrid role, you will report to an Engineering Manager.","You will:","Create reliable Android components and flows using modern technologies like Jetpack Compose.","Build features within the in-car interface that inspire trust and clearly communicate the vehicle's intentions.","Work closely with UX/UI designers, Product Managers, and Vehicle Software Engineers to launch innovative in-car experiences.","Design and maintain software controlling in-car systems such as displays, audio, and climate controls.","Manage the full software development lifecycle, focusing on quality and robustness for safety-sensitive systems.","You have:","BS degree in Computer Science or equivalent practical experience.","5+ years of professional software development experience.","3+ years of experience in Android application development, including testing, maintaining, and launching features.","Proven ability to design and implement significant features or components independently.","Proficiency in Kotlin or Java, and a strong understanding of Android internals.","Experience leading technical designs and mentoring other engineers.","We prefer:","Experience with Android platform (AOSP) development, custom Android builds, or embedded systems.","A passion for pixel-perfect UI and creating fluid user experiences.","Knowledge of in-car infotainment systems or automotive software development.","Experience with performance analysis and optimization for resource-constrained devices.","Full-stack experience, including designing and integrating with server-side APIs to support client features.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-26T16:54:59-05:00","valid_through":null},{"id":"waymo-7488508","url":"https://roboticjobs.ai/jobs/waymo-7488508","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7488508","title":"Machine Learning Engineer Perception LLM/VLM (PhD, New Grad)","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA USA;  San Francisco, CA USA;","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["Python","PyTorch"],"advertised_pay":"$170,000—$216,000","compensation":[{"min":170000,"max":216000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000—$216,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.","You will:","Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models.","Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models.","Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving.","Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems.","You have:","5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).","Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets.","Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).","Hands-on experience with model training, evaluation, and deployment in a production environment.","Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.","We prefer:","Experience in fine-tuning foundation models for autonomous driving or robotics applications","Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.","Background in autonomous vehicle perception, motion planning, or decision-making systems.","Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).","PhD in a relevant field.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$170,000—$216,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-22T18:35:42-05:00","valid_through":null},{"id":"waymo-7488596","url":"https://roboticjobs.ai/jobs/waymo-7488596","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7488596","title":"Senior Machine Learning Engineer, Perception LLM/VLM","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA USA;  San Francisco, CA USA;","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["Python","PyTorch"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.","You will:","Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models.","Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models.","Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving.","Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems.","You have:","5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).","Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets.","Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).","Hands-on experience with model training, evaluation, and deployment in a production environment.","Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.","We prefer:","Experience in fine-tuning foundation models for autonomous driving or robotics applications","Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.","Background in autonomous vehicle perception, motion planning, or decision-making systems.","Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).","PhD in a relevant field.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-22T18:35:45-05:00","valid_through":null},{"id":"waymo-7495240","url":"https://roboticjobs.ai/jobs/waymo-7495240","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7495240","title":"Senior Staff Technical Lead Manager, Perception Optimization","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","CUDA"],"advertised_pay":"$298,000—$368,000","compensation":[{"min":298000,"max":368000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $298,000—$368,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.","The Sensor Foundations Team’s purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system.","The Optimization sub-team uses our know-how of CPUs, GPUs, and clever algorithms to process Waymo's sensor data super-fast and feed it to the Perception ML models. We specialize in low-level understanding of compute hardware, and we apply that knowledge wherever we can, throughout the whole stack. We are looking for a Tech-Lead Manager with a CPU, GPU, or system-level optimization background to lead this small team of Software Engineers. Depending on your prior experience, you may also be responsible for system-level optimization and be a steward of our compute resources.","This role follows a hybrid work schedule and reports to the TLM of the Sensor Foundations team.","You will:","Lead a small team of optimization experts","Identify system-level optimization opportunities","Optimize existing CPU code","Write and review CUDA code","Collaborate with ML practitioners to understand their input-processing needs.","Be a steward of our compute resources","You have:","B.Sc in Computer Science, Mathematics or a related field","8+ years of industry experience","Strong C++ programming skills","Experience with optimizing CPU or GPU code (ideally both)","Prior people management experience","We prefer:","M.Sc or PhD in Computer Science, Mathematics or a related field","Experience with system-level optimization","Experience with compiler technology.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$298,000—$368,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2025-12-26T17:44:44-05:00","valid_through":null},{"id":"waymo-7510368","url":"https://roboticjobs.ai/jobs/waymo-7510368","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7510368","title":"Senior Software Engineer, Inertial Navigation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, US","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":["C++","Python","SLAM"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and you will report to a Software Engineering Manager.","You will:","Develop algorithms to improve the accuracy and robustness of our core state estimation algorithm.","Engineer and deploy robust, production-quality C++ software to fuse data from inertial, GNSS, and other advanced sensors into our algorithm for both new and existing vehicle platforms.","Build and maintain tools, pipelines, and evaluation frameworks to rigorously assess positioning system performance across millions of miles of real-world driving data.","Leverage Waymo's massive datasets to conduct large-scale analyses and optimizations, fine-tune sensor models, characterize system performance, identify root causes of failures, and establish performance guarantees.","Collaborate closely within a multi-disciplinary team of engineers to solve complex technical challenges, contribute to a culture of high standards, and share your expertise with fellow team members.","You have:","MS, PhD or equivalent industry experience.","Expertise in state estimation theory and application, including Kalman Filters, particle filters, factor graphs, and nonlinear optimization techniques.","Deep understanding of inertial navigation principles, including sensor modeling, IMU error characterization, calibration, and multi-sensor fusion with GNSS and other aiding sensors.","Strong C++ skills and ability to write high quality production level code.","We prefer:","Previous experience in the autonomous vehicle industry, particularly in inertial navigation, localization, perception, or sensor fusion.","Experience with computer vision, visual inertial odometry, SLAM, ICP or other sensor modalities.","Experience developing and using tools for large-scale data analysis and visualization (e.g., SQL, Python with libraries like NumPy, Pandas, Matplotlib).","Familiarity with machine learning techniques applied to sensor fusion, sensor calibration, or positioning problems.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-03-04T22:41:47-05:00","valid_through":null},{"id":"waymo-7531466","url":"https://roboticjobs.ai/jobs/waymo-7531466","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7531466","title":"Technical Lead Manager, Multiverse","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo’s AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo’s massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include:","Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth.","Timeliness: As Waymo’s deployments accelerate across the globe, time to first detection needs to consistently improve.","Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals.","The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime.","You Will:","As TLM of the Event Insights sub-team, you will start with a small team (3-5) to work on key initiatives revolving around the enrichment, understanding, and management of metric events at low latency. Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include:","Clustering: Lead the creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world.","Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. The TLM is accountable for storage that scales to meet all these requirements.","Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo’s challenges.","Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver’s performance.","You have:","7+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience","C++ proficiency","Python familiarity","SQL familiarity","Management experience with a team size of 5+.","Hands-on experience with an ability to technically lead ICs daily, including knowledge of the codebase, eval and data pipelines, model, and algorithms.","Strong verbal and written communication skills","Excited about autonomous driving, Sim+Eval, eager to learn","We prefer:","10+ years of industry experience, including 2+ in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system.","B.S. in Computer Science","Experience working with large FAANG scale distributed systems.","Experience building software reliability evaluation systems","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-01-14T19:49:24-05:00","valid_through":null},{"id":"waymo-7547529","url":"https://roboticjobs.ai/jobs/waymo-7547529","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7547529","title":"Staff Software Engineer, Privacy","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA ","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems.","In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just \"manage\" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one.","You will:","Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, \"Right to be Forgotten\" automation, and consent management frameworks for European riders.","Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets.","Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo’s distributed infrastructure.","Partner with Waymo’s Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements.","Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration.","You have:","BS degree in Computer Science, or a related technical field, or equivalent practical experience.","8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure.","Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java).","Deep understanding of GDPR.","Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and cloud infrastructure.","We prefer:","Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK.","Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption.","Experience building first-class user facing products.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-01-21T18:02:59-05:00","valid_through":null},{"id":"waymo-7561934","url":"https://roboticjobs.ai/jobs/waymo-7561934","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7561934","title":"OEM Platform Integration Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA ","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["Python"],"advertised_pay":"$158,000—$200,000","compensation":[{"min":158000,"max":200000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $158,000—$200,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and reports to a Manager of Systems Architecture Integration & Diagnostics.","You will:","Lead investigation and troubleshooting of software and electrical integration issues between Waymo and OEM systems","Collaborate with system owners and subject matter experts both within Waymo and at OEMs to scope integration derisking, troubleshoot integration issues, and coordinate change deployment","Contribute to evolving Waymo’s platform integration strategy, processes, and tools","Provide expert onsite hands-on support at manufacturing, field service, and test facilities for early program activities","You have:","A Bachelors or Masters in EE/ME/CE/CSE or related field","5+ years of experience with prototype software and electrical automotive systems","Hands-on troubleshooting experience with software and electrical automotive systems and tools","Wide breadth of knowledge in the EE/CS/Mech realm, and can spin up on a new topic very quickly","We prefer:","Demonstrated experience taking new automotive platforms from prototype through series production","Working knowledge of an object-oriented scripting-oriented programming language (ex: Python)","Familiar with modern passenger vehicle control systems","Ability to interact with both technical and nontechnical teams to solve technical problems","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$158,000—$200,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-01-26T20:11:01-05:00","valid_through":null},{"id":"waymo-7593522","url":"https://roboticjobs.ai/jobs/waymo-7593522","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7593522","title":"Staff Machine Learning Engineer, Data Flywheel","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA USA;  San Francisco, CA USA;","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$250,000—$334,530","compensation":[{"min":250000,"max":334530,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $250,000—$334,530 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.","In this hybrid role you will report to a Technical Lead Manager.","You will:","Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets","Develop methods for data mining and recipes for automated data collection/model update flywheels","Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates","Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion.","Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs.","Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation.","You have:","A degree in Computer Science, Engineering, or a related technical field","4+ years of professional experience in the field of software engineering and machine learning","Proficiency in C++ and Python","Experience in designing distributed systems processing data at scale, especially ML data infra","Good foundational understanding of ML principles and SOTA methods","Passionate about building world-class ML infrastructure","Strong communication skills","We prefer:","Experience with implementing data compliance & data governance solutions","Experience with VLM/LLMs","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$250,000—$334,530 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-02-11T12:20:48-05:00","valid_through":null},{"id":"waymo-7593534","url":"https://roboticjobs.ai/jobs/waymo-7593534","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7593534","title":"Senior Formal Verification Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$204,000—$259,000","compensation":[{"min":204000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.","This role follows a hybrid work schedule and you will report to a Silicon Engineering Lead.","You will:","Define and drive formal strategy for first-pass silicon success. Own the formal verification sign-off approach across complex IP and SoC designs, utilizing advanced formal techniques (e.g., Bounded Model Checking, Datapath Validation, Connectivity, Sequential LEC, etc.)","Architect robust and scalable FV environments. Develop and deploy reusable formal testbenches, methodology flows, and high-coverage SVA assertion suites for systemic deployment across multiple design blocks and projects","Technical leadership & mentorship. Serve as the team's formal Subject Matter Expert, training and guiding logic designers and verification engineers to effectively incorporate formal methods into their workflows","Strategic planning and test plan execution. Collaborate with Architecture and Design teams to translate complex system and IP specifications into comprehensive formal verification test plans","Drive FV Infrastructure & Reporting. Maintain and enhance continuous integration, regression flows, and dashboarding to provide clear, actionable formal verification status and sign-off metrics to leadership","Advanced bug-hunting and debugging. Apply state-of-the-art formal techniques (e.g., assume-guarantee, abstractions, reductions) to tackle and efficiently decompose the most challenging, intractable verification problems","You have:","BS/MS/PhD in CS/EE or related field, combined with 5+ years of hands-on formal verification experience on shipping silicon products","Deep, expert-level proficiency with at least one major commercial formal verification platform (e.g., Cadence JasperGold, Synopsys VC Formal, Mentor Questa Formal)","High level language proficiency in C++ and/or Python","Ability to model complex designs in SystemVerilog and advanced SystemVerilog Assertions, including writing complex cut-points and environment models for effective formal proof convergence","Proven track record in applying advanced formal debug techniques for problem decomposition (e.g., clock domain crossings, abstractions, assume-guarantee reasoning)","Excellent verbal and written communication skills with the ability to influence cross-functional teams (Design, Architecture, Software) and drive technical alignment","We prefer:","Informed of latest developments in formal verification research and industry practice, identify opportunities for Waymo's silicon development process","Experience in formally proving correctness of arithmetic units such as floating point adders and multipliers","Knowledge/experience working with NOCs and networking topologies, protocols (Eg. AXI/AMBA)","Understand basic principles of cache coherency","Experience with high-performance designs","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$204,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-02-09T11:41:38-05:00","valid_through":null},{"id":"waymo-7595124","url":"https://roboticjobs.ai/jobs/waymo-7595124","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7595124","title":"Staff Machine Learning Engineer – VLM/LLM","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA; New York City, NY, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$238,000—$302,000","compensation":[{"min":238000,"max":302000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000—$302,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.","This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer.","You will:","Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo’s systems, both onboard autonomous vehicles and offboard in simulation","Lead the development of end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire lifecycle from pretraining and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents","Partner within and across organizations to land disruptive and innovative tech in production","Implement and extend large large scale data and evaluation pipelines","You have:","Master’s degree or PhD degree in Computer Science, similar technical field of study, or equivalent practical experience","5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record","Experience with large scale distributed system","Proficient programming skills (eg: Python, C/C++)","Strong analytical and debugging skills","We prefer:","ML infra experience: training, evaluating and deploying ML models at scale","Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning","Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow)","In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:","Health, dental, vision, life, disability insurance","Retirement Benefits: 401(k) with company match","Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment","Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)","Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks","Baby Bonding Leave: 18 weeks","Holidays: 13 paid days per year","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$238,000—$302,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-02-06T15:53:39-05:00","valid_through":null},{"id":"waymo-7680942","url":"https://roboticjobs.ai/jobs/waymo-7680942","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7680942","title":"Staff Software Engineer / Technical Lead Manager ","employer":{"id":"waymo","name":"Waymo"},"location":"San Francisco, California, United States","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$251,000—$319,000","compensation":[{"min":251000,"max":319000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$319,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","You will:","Collaborative - work across team boundaries","Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles","Independence / leadership - take ownership and drive efforts to completion","Technical road map definition experience","Performance management experience","You have:","BS degree in Computer Science or equivalent practical experience","6+ years experience working with backend tech (e.g. C++, Spanner, or others)","6+ years of experience with Front End (Angular, Javascript, React, etc)","5+ years of people management experience","TL or leadership skills","Experience in product development lifecycle","We prefer:","Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent","Development experience with C++ or other backend programming languages","Development experience with frontend frameworks (e.g. Angular, React)","Scalability and system performance experience","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$319,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-03-16T13:53:04-04:00","valid_through":null},{"id":"waymo-7698498","url":"https://roboticjobs.ai/jobs/waymo-7698498","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7698498","title":"Software Engineer, Machine Learning Tooling","employer":{"id":"waymo","name":"Waymo"},"location":"Taipei, Taiwan; Hsinchu, Taiwan","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":[],"advertised_pay":"$2,600,000—$3,150,000","compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.","This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Machine Learning Performance team.","You will:","Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance issues during other ML software development","Partner and empower ML engineers to optimize the performance of their model on through set of tooling and capabilities needed for rapid iteration","Build and sustain a database of ML model performance and other metrics. Ensure a consistent user experience for internal customers, enabling them to easily query data, debug, bisect, and track releases","You have:","Bachelors in Computer Science or Electrical Engineering","3 years of experience in software development and with data structures/algorithms","1 year of experience in data visualization tools","We prefer:","Experience in relational and non-relational databases, normalization, data governance, data quality","Experience developing accessible technologies.","Experience building infrastructure for models, diagnosis failures and tooling","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$2,600,000—$3,150,000 TWD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-03-16T14:30:27-04:00","valid_through":null},{"id":"waymo-7703602","url":"https://roboticjobs.ai/jobs/waymo-7703602","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7703602","title":"Senior Software Engineer, Machine Learning Performance","employer":{"id":"waymo","name":"Waymo"},"location":"Taipei, Taiwan; Hsinchu, Taiwan","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$3,800,000—$4,370,000","compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.","This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Machine Learning Performance team.","You will:","Act as Technical Lead (TL) for a small team (~5 engineers) focusing on individual ML model performance optimization and delivering maintainable, high-quality solutions.","Set the technical vision, direction, and multi-quarter roadmap for ML performance optimization within the team's scope","Drive and coordinate large, open-ended technical projects that span multiple application and infrastructure teams, ensuring timely and robust delivery","Collect, trace, and analyze application/ML model performance for complex optimization opportunities, and prototype/generalize solutions at the application, compiler, or infrastructure level (firmware, runtime, framework)","Influence and motivate infrastructure teams (e.g., compiler) to prioritize and land performance-critical optimizations, setting clear expectations using solid methodology (e.g., roofline)","Provide technical mentorship and guidance to team members, helping them to grow and ensuring technical excellence and code health across the team's deliverables","You have:","MS degree in Computer Science/Electrical Engineering or equivalent, or equivalent practical experience","5+ years of experience writing complex C++ code","5+ years of experience writing code in Python","7+ years experience in optimizing compute performance for ML applications","Experience in compute architectures, performance analysis, and optimization methodologies","Communicate well to cross-functional teams and effectively mitigate timezone differences","We prefer:","Experience in ML modeling and also ML compiler implementation","Experience in performance tools, simulators, and HW/SW codesign","Proficiency in building and nurturing effective collaborations across application teams and infrastructure teams","Experience with pruning, quantization, and other model performance optimization techniques","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$3,800,000—$4,370,000 TWD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-03-16T14:27:50-04:00","valid_through":null},{"id":"waymo-7719332","url":"https://roboticjobs.ai/jobs/waymo-7719332","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7719332","title":"Staff Machine Learning Engineer, TLM , Labeling Automation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","As a Staff Machine Learning Technical Lead Manager (TLM) on the Labeling Team, you will lead the technical strategy for automating our data pipelines while managing and growing a team of machine learning engineers. You will build cutting-edge auto-labeling systems to drastically scale our throughput and develop intelligent auto-graders to guarantee exceptional data quality. This is a high-impact leadership role where you will manage team members, train, deploy, and orchestrate state-of-the-art computer vision architectures and Vision-Language Models (VLMs) to solve complex semantic labeling challenges across our massive autonomous driving fleet.","You Will:","Lead Technical Strategy & Architect Auto-Labeling: Define the technical vision and lead the deployment of highly scalable auto-labeling pipelines that significantly improve data throughput and eliminate manual annotation bottlenecks.","Build Robust Auto-Graders: Develop automated anomaly detection and quality evaluation systems (auto-graders) to assess annotation accuracy, detect regressions, and enforce rigorous quality standards across millions of labels.","Train & Deploy SOTA Computer Vision Models: Train, optimize, and push into production advanced 2D and 3D computer vision models. You will utilize architectures ranging from foundational zero-shot models like SAM (Segment Anything Model) and efficient real-time detectors like YOLO, to bespoke 3D perception and tracking models.","Leverage Vision-Language Models (VLMs): Fine-tune, and deploy large VLMs and LLMs, utilizing prompt optimization and advanced post-training techniques (SFT, RL, etc.), to solve complex, open-set labeling and contextual reasoning tasks.","Drive Organizational Technical Direction: Serve as a technical pillar for the Labeling organization. Establish long-term ML roadmaps, guide key architectural decisions, and elevate engineering standards across teams.","Collaborate Cross-Functionally: Work closely with Perception, Planner, and Simulation teams to align labeling capabilities with the evolving ML data needs of the Waymo Driver.","People Leadership & Management: Directly manage, mentor, and grow a team of high-performing ML engineers. Oversee career growth, performance evaluations, team hiring, and foster an inclusive, collaborative team culture.","You Have:","B.S. in Computer Science, Machine Learning, Robotics, or a related technical field, or equivalent practical experience.","7+ years of professional software engineering and applied machine learning experience.","Must have: A deep background in computer vision, including proven experience building, evaluating, and deploying deep learning models for object detection, segmentation, and spatial tracking.","Must have: Extensive hands-on experience in large model training, distributed computing, and scaling deep learning architectures using frameworks like PyTorch or TensorFlow.","Strong coding proficiency in Python and/or C++, with a track record of writing maintainable, production-grade software.","Experience taking machine learning solutions through the entire lifecycle—from research and experimentation to robust, scaled production deployment.","2+ years of experience in direct people management, technical leadership, or leading engineering teams as a TL/TLM.","Nice To Have:","Experience in building internal tooling for ML developers","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-14T18:06:24-04:00","date_posted":"2026-03-19T18:38:53-04:00","valid_through":null},{"id":"waymo-7733791","url":"https://roboticjobs.ai/jobs/waymo-7733791","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7733791","title":"Technical Program Manager, Systems Engineering","employer":{"id":"waymo","name":"Waymo"},"location":"San Francisco, CA,US; Mountain View, CA, US","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$159,000—$196,000","compensation":[{"min":159000,"max":196000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000—$196,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo’s Technical Program Managers and Program Managers are accountable for Waymo’s roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies.","This role follow a hybrid work schedule and reports to the Director, Technical Program Management.","You will:","Identify gaps and propose changes to existing policy, systems, and process frameworks","Develop scalable solutions and work to manage risks across the organization and develop best practices that are a benefit across the organization","Support or lead complex, multidisciplinary projects including managing project schedules, identifying risks, and clearly communicating goals to project stakeholders.","Create presentations with compelling messages effectively tailored to different audience levels, including executives","Drive recommendations through to implementation and results","Develop and manage testing and analysis best practices for complex HW/SW systems","You have:","BA/BS degree in Computer Science, Electrical Engineering, Robotics,Mechanical Engineer, or relevant technical field or equivalent practical experience","5+ years relevant work experience systems engineering or an adjacent field","Understanding of Systems Engineering Processes (i.e. use cases to requirements to architecture to design review to DVP/V&V, etc.)","Demonstrated experience in managing end to end systems integrated projects or programs and executing complex strategic and operational initiatives","Experience implementing projects in a demanding, change-oriented, fast-paced environment requiring a high degree of deadline-driven productivity","Proven ability to work with team members and cross functional groups to design processes and implement strategic projects that solve business problems.","We prefer:","Extensive experience with autonomous driving or robotics projects","Prior experience working in combined software and hardware development","Experience in government, safety industry, transportation/logistics, or equivalent project management experience in a technology or media company","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$159,000—$196,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-03-20T13:59:18-04:00","valid_through":null},{"id":"waymo-7747032","url":"https://roboticjobs.ai/jobs/waymo-7747032","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7747032","title":"Senior Software Engineer, Eval Authoring APIs","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View,CA, USA; San Francisco, CA, USA; New York, NY, USA ","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Team and Responsibilities","The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. The Eval Authoring APIs team's mission is to establish the foundational API and tooling required to support the eval development lifecycle, encompassing creation, validation, testing, and publishing. We are seeking an experienced, technically hands-on Senior Software Engineer to design and implement these core authoring APIs.","In this hybrid role, you will report to the Sr. Staff Manager.","You will:","Drive the technical architecture and implementation of core services that enable evaluation engineers to author, manage, and execute evaluation workflows at scale.","Collaborate cross-functionally with Eval developers, sim and analysis infra teams to translate ambiguous requirements into clean, well-documented, and easy-to-use API contracts and engineering deliverables.","Ensure the authoring APIs are representative of real-world evaluation complexity, computationally efficient, and highly reliable.","Mentor junior engineers and champion software development best practices within the team.","You have:","Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.","5+ years of hands-on experience in software engineering, focused on backend systems or APIs.","Extensive experience building scalable, distributed systems and developer-facing APIs.","Proven track record of technical contributions, owning large features from design to deployment.","Expertise in systems design and data modeling for high-throughput, low-latency applications.","Strong proficiency in C++ or Python.","Exceptional communication and collaboration skills, with experience working with cross-functional partners.","We prefer:","Experience designing API-centric systems for internal developer platforms or tools.","Advanced degree (Master's) in Computer Science or a related technical field.","Familiarity with the software development lifecycle for evaluation or machine learning systems.","A passion for safety-critical systems and the desire to build robust developer experiences.","#hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-03-25T14:12:42-04:00","valid_through":null},{"id":"waymo-7773691","url":"https://roboticjobs.ai/jobs/waymo-7773691","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7773691","title":"Software Engineer, Pipeline and Test Health","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, US; San Francisco, CA, US","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["Python"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.","This role follows a hybrid work schedule and reports to an Engineering Manager.","You will:","Ensure release-critical tests execute on time and stay healthy","Build health check pipelines for our most important tests and ensure infrastructure for testing weather, left hand traffic, and new vehicle platforms is running smoothly at all times","Debug pipeline failures when they happen, working with counterparts in the Simulation and SRE teams to understand root causes and prevent future issues","Execute retrospectives and actively work to reduce tech debt","Work across testing methodologies including collision avoidance, rules of the road, perception, fault protection, and more","You have:","A Bachelor’s degree in Engineering, Computer Science, Robotics, or other relevant technical field","5+ years of experience in Site Reliability Engineering, QA engineering, Software Development in Test, or other equivalent experience","Recent experience coding in Python and SQL","Excellent debugging skills, with a passion for both “firefighting” and “fire prevention”","Solid written and verbal communication","We prefer:","Experience with software development for robotics, autonomous vehicles, or similar","An advanced degree in Engineering, Computer Science, Robotics, or other relevant technical field","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-04-02T22:58:24-04:00","valid_through":null},{"id":"waymo-7808260","url":"https://roboticjobs.ai/jobs/waymo-7808260","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7808260","title":"Hardware Engineer, LIDAR Performance Validation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Mechanical & Hardware","experience":"Other levels","detected_skills":["C++","Python"],"advertised_pay":"$159,000—$196,000","compensation":[{"min":159000,"max":196000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000—$196,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule (at least 3 fixed days in the office) and reports to the LiDAR performance lead.","You will:","Work closely with electrical, mechanical, manufacturing and reliability engineers to develop and characterize high performance LiDAR systems and electro-optical subsystems","Develop bench characterization methods and accompanying physics-based software models to ensure the design is on track to achieve top level performance goals. Develop and maintain performance validation plans that scale appropriately with the design lifecycle from early bench prototypes to high volume production","Support definition of appropriate test and calibration procedures to ensure LiDAR data quality at scale. Work with design and test engineers to develop appropriate testing procedures and performance acceptance criteria.","Design and oversee execution of LiDAR field measurements and structured tests. Assess impact of environmental conditions on Lidar performance, help develop methods to detect and mitigate data quality impact of adverse environmental factors through experimental design, data mining and analysis","Interface with LiDAR software engineers, perception software engineers and systems engineers to help triage field issues related to LiDAR data quality, and aid in requirement derivation to ensure the LiDAR module upholds system-level performance and safety goals","Comfortably transition between physics modeling, simulation, large-scale data analysis and hands-on prototyping & testing in the lab","You have:","Masters of science with 5+ years experience or PhD in Electrical Engineering, Physics, Applied Physics or equivalent","Strong knowledge of depth sensing technologies and hands on experience prototyping/characterizing precision optical, electrical, or mechanical components and assemblies","Experience with developing and maintaining physics-based computational models to describe and quantify performance bounds of LiDAR or other optical sensing hardware","Track record of innovation and solving challenging technical problems","Excellent data analysis, presentation and technical communication skills","We prefer:","PhD in Physics, Applied Physics, Electrical Engineering, or a similar field","Proficiency with data analysis in Python or C++","Experience with designing studies / experiments and hypothesis testing. Previous product development experience is a plus.","A track record of working across multiple physics disciplines and hands-on experience with from-scratch analytical physics modeling (e.g. Matlab/Python)","Strong understanding of optical semiconductors and optical systems","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$159,000—$196,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-04-15T08:46:36-04:00","valid_through":null},{"id":"waymo-7815237","url":"https://roboticjobs.ai/jobs/waymo-7815237","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7815237","title":"Staff iOS Engineer, Growth","employer":{"id":"waymo","name":"Waymo"},"location":"San Francisco, CA, USA; Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.","You Will","Lead technical strategy: Define the long-term architectural roadmap for the iOS platform, ensuring our codebase is modular, performant, and ready to scale as we launch in new cities.","Build and own key infrastructure: Own the foundational frameworks for networking, authentication, and local data persistence, ensuring they are optimized for performance and modularity.","Drive engineering excellence: Set the bar for Swift development, conducting deep technical design reviews (RFCs) and championing best practices in Swift Concurrency and UI performance.","Mentor and grow: Guide senior engineers on the team, helping them navigate complex technical challenges and elevate their architectural thinking.","You Have","B.S, or M.S. in Computer Science or a similar technical field, or equivalent practical experience","6+ years of experience building and shipping mobile apps from scratch using best practices","Experience with SwiftUI in a production environment","Passion and experience building user-facing products","Experience partnering with product managers, designers, vehicle or robotics engineers","Focus on pixel-perfect UI","Client-server protocols (gRPC, Protobuf)","Bluetooth and Bluetooth LE","Test-driven development","We Prefer","Experience building and releasing on the iOS App Store","Experience with UIKit, CoreAnimation, and other iOS libraries","Experience with C++","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-04T16:09:45-04:00","valid_through":null},{"id":"waymo-7816014","url":"https://roboticjobs.ai/jobs/waymo-7816014","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7816014","title":"Staff Software Quality Safety Operations Specialist","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, United States; Remote, United States","work_mode":"Remote","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$190,000—$234,000","compensation":[{"min":190000,"max":234000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $190,000—$234,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Software Quality Operations (SWQOps) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.","Why This Team is Essential to Waymo's Success:","Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. SWQ Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The Safety Operations team within SWQ Ops owns the scale delivery of datasets and methodologies used to evaluate the Safety and performance of the driver as Waymo continues to scale. We are on the front lines of:","De-risking New Deployments: Through meticulous triage of driving and simulated events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights. This \"early intervention in RO issue detection\" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like Ojai.","Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver.","Enabling Market Expansion: Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2Plan) to scaling operations (OK2Scale). We provide the necessary data analysis, policy development, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity.","Data Flywheel: Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster ODD expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.","You will:","Drive the strategy and technical implementation of decomposing complex safety triage workflows. Develop and apply advanced operational and ML techniques to enable automation, ensuring scalability as mileage and geographic operations expand.","Serve as the subject matter expert for human-in-the-loop ML systems in the safety problem space. Define and refine requirements for generating high-quality, dense, and broad human feedback to optimize ML models performance.","Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.","Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs.","Serve as the key link between AI/ML development and operational execution. Author and drive the adoption of foundational technical policies and standards, strategic roadmaps, and process blueprints that enable the organization to scale and support stakeholder needs.","Advise senior stakeholders on the long-term technical strategy and operational capabilities of the organization, serving as a trusted partner for critical decisions.","You have:","BS/BA degree or 7+ years of relevant work experience in AV Software Quality Operations / ML Operations","Proven ability to manage complex, technical projects and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering) to drive outcomes.","Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.","Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.","Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.","A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment","Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment.","We prefer:","Undergraduate in technical degree preferred.","Experience within A / V space.","Competency in LLM / transformer models, and / or ML for robotics domain experience.","Competency in SQL querying / data analysis.","Experience working with offshore teams / multiple local operations hubs.","Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$190,000—$234,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-08-14T21:13:32-04:00","valid_through":null},{"id":"waymo-7816359","url":"https://roboticjobs.ai/jobs/waymo-7816359","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7816359","title":"NPI Technical Program Manager","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; Novi, Michigan, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$230,000—$284,000","compensation":[{"min":230000,"max":284000,"currency":"USD","period":"UNSPECIFIED","context":"and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $230,000—$284,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This is an on-location role and you will report to the Product Quality Manager.","You will:","Serve as the primary point of contact between Waymo and automotive supplier partners","Co-ordinate technical & manufacturing discussion and contract negotiations on strategic sourcing efforts, while providing hardware teams with comprehensive insights into supplier capacities","Co-ordinate with the internal team and supplier partners team to ensure clear alignment and expectations on technical and commercial deliverables","Co-ordinate program schedules by tracking milestones and delivering progress reports to essential stakeholders to ensure on-time delivery. Monitor and manage program finances through diligent budget preparation and oversight","Lead collaborative meetings and proactively resolve obstacles to project completion","You have:","8+ years of professional experience in automotive electronics program management or a closely related field","Bachelor's degree in Engineering, or a related field","Demonstrated expertise in the automotive product development processes, systems, and milestones","Skilled in defining complex problems, achieving team alignment, and delivering strategic solutions to leadership.","Exceptional leadership and communication abilities, including the capacity to overcome obstacles and provide necessary pushback","Proven track record of managing multiple competing priorities and achieving high-quality results in high-pressure environments","We prefer:","Master's degree in Engineering, or a related field","Exceptional attention to detail and ability to resolve complex program related issues, strong negotiation skills","Demonstrated experience in one or more of the following areas: New Product Introduction, Design Engineering, or Manufacturing Operations in Sourcing or supply chain in quality management","Strong understanding of electronic assembly processes. & Solid grasp of statistical analysis and production control processes","Travel requirements:","25% travel (both domestic and international) needed","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$230,000—$284,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-04-14T19:13:54-04:00","valid_through":null},{"id":"waymo-7819951","url":"https://roboticjobs.ai/jobs/waymo-7819951","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7819951","title":"Senior Machine Learning Engineer (Infra), Driver Understanding and Evaluation","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack.","You will:","Build scalable systems for training and fine-tuning large-scale models to evaluate interesting driving behaviors.","Work at the intersection of data engineering, model development, and simulation Provide guidance on architectural decisions and technical directions. Own large, complex systems, driving architectures that meet technical and business objectives.","Contribute to the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.","Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation, model training, and evaluation.","Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. Translate product/business goals into measurable technical deliverables, ensuring system component alignment.","You have:","M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.","5+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.","A history of contributions to machine learning tooling and frameworks e.g. PyTorch, Jax, Tensorflow, Ray, or similar. The candidate should understand both the user facing API and the internal workings.","Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks.","We prefer:","7+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.","Experience in the autonomous vehicles domain, robotics, or complex simulation environments.","Familiarity with large-scale simulation platforms and their integration with ML training workflows.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T19:08:38-04:00","date_posted":"2026-04-17T15:03:21-04:00","valid_through":null},{"id":"waymo-7822756","url":"https://roboticjobs.ai/jobs/waymo-7822756","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7822756","title":"Senior Software Engineer, Vehicle Platforms C++","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, US","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering in the Hardware organization is where software meets the physical world. You will work on critical systems that manage autonomous vehicle functions, with teams such as Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation and Embedded Simulation. We are looking for strong generalist software engineers to work across a wide array of domains, including embedded, controls, sensor processing, manufacturing calibration, simulation, data analysis, and also building higher-level state machines, interfaces and flows for fault management and automation.","You will have a direct & material impact on the ability of Waymo to scale to more vehicles and cities.","This role follows a hybrid work schedule and reports to a Senior Staff Software Engineer for Embedded Systems.","You will:","Develop high-quality vertically-integrated C++ software systems (on-vehicle and off-vehicle software) to manage autonomous vehicle functions.","Lead cross-functional workflows (e.g., requirement reviews, project planning).","Analyze field data (logs) and simulation results.","You have:","Experience as a technical leader or key individual contributor for cross-functional and complex projects (e.g., involving a fleet of embedded systems)","Advanced knowledge of C++ patterns, idioms, and unit test methodology. This role is specifically for C++ and not for C/C++.","Degree (BS, MS) in Computer Engineering, Computer Science, or similar or equivalent practical experience.","At least 5 years of professional experience developing production software in modern C++ (i.e., C++17, C++20, etc.)","Experience designing, developing for and troubleshooting distributed systems: experience in embedded systems (microcontrollers / resource constrained) and/or distributed systems comprising embedded devices and backend systems.","We prefer:","In-depth understanding of microcontroller-based embedded systems and associated development and debugging tools.","Working experience with safety critical systems / functional safety.","Working experience with cybersecurity (e.g., Secure Boot, SecOC, MACSec).","Open source projects that demonstrate dedication to crafting high quality C++ software.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-13T14:19:40-04:00","date_posted":"2026-04-16T22:39:03-04:00","valid_through":null},{"id":"waymo-7839759","url":"https://roboticjobs.ai/jobs/waymo-7839759","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7839759","title":"Staff Technical Lead Manager, Scenes","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Onboard Map Expansion team develops tech and API towards building driving logic that is robust to map correctness and availability. Waymo is rapidly scaling its driving to new cities and service areas -- each new service area comes with certain nuances that are unique to them (unique map configurations, different road rules, etiquette, etc.). Our team builds the tech and tools to rapidly discover, iterate, and mitigate these behaviors while also scaling the performance of the car in a data-driven way.","This is an opportunity to shape how Waymo solves the scaled-driving problem in new service areas. There are several open questions both technically and from a product point of view, and this role offers a front row seat to how Waymo scales its driving!","In this role, you will report to an Engineering Manager.","You will","Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new cities","Build quantitative evaluation techniques to drive data driven development","Work closely with partners in Mapping, Product, and the rest of the Onboard stack","You have:","PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field","Experience manipulating and analyzing large datasets","Experience with working and solving design problems that cut across multiple components. High quality API design with an eye towards eval and data driven techniques.","We prefer:","Experience in the autonomous driving domain, including areas like motion planning or perception","Proficiency in SQL","Proficiency in C++","Evaluation experience, contributing to scalable eval workflows and building metrics for ML models","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-04-21T21:55:53-04:00","valid_through":null},{"id":"waymo-7843377","url":"https://roboticjobs.ai/jobs/waymo-7843377","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7843377","title":"Engineering & Hardware Category Manager","employer":{"id":"waymo","name":"Waymo"},"location":"Remote, US","work_mode":"Remote","discipline":"Mechanical & Hardware","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$159,000—$196,000","compensation":[{"min":159000,"max":196000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000—$196,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Procurement and Vendor Enablement Office (PVEO) is the strategic engine behind our rapid commercial scaling. We don't just buy services; we design the workforce architecture that powers the Waymo Driver. In this senior leadership role, you will lead the Enterprise Outsourcing & Services vertical. You will partner with Executives across Engineering, Operations, and Corporate functions to define the \"Future of Work\" at Waymo—determining how we leverage the global external ecosystem to scale our Mapping, Labeling, Engineering, and Corporate capabilities.","You will:","Develop and execute a comprehensive procurement strategy for Engineering Services and R&D Hardware, balancing cost optimization with speed-to-market for prototypes and technical development.","Proactively manage a high-volume pipeline of outsourced engineering workforce contracts; lead negotiations for mission-critical engineering design firms to secure favorable long-term commercial and IP terms.","Structure and negotiate complex Statements of Work (SOWs) and Non-Recurring Engineering (NRE) agreements for hardware development to ensure successful project delivery and ROI.","Optimize Joint Design Manufacturing (JDM) and Original Design Manufacturing (ODM) relationships for R&D components, ensuring competitive pricing and seamless fulfillment logistics for hardware iterations.","Act as the trusted advisor to Engineering and Hardware leadership; lead complex \"make vs. buy\" analyses and influence technical requirements to drive commercial value and mitigate supply chain risk.","Partner with Legal (IP/Security) to ensure all engineering services and hardware agreements meet Waymo’s rigorous intellectual property protection and cybersecurity standards.","You have:","7+ years of strategic procurement experience, with at least 4+ years dedicated to Engineering Services, R&D, or Hardware sourcing.","Deep expertise in outsourced engineering models (managed services, staff augmentation, fixed-bid) and experience negotiating with Tier 1 engineering service providers.","Proven ability to draft and negotiate complex commercial contracts, including MSAs, NREs, JDM/ODM agreements, and highly technical Professional Services SOWs.","Experience managing R&D hardware lifecycles (EVT, DVT, PVT) and negotiating with custom component manufacturers and prototyping houses.","Strong financial acumen with the ability to present TCO (Total Cost of Ownership) analysis to Finance and Hardware Engineering leadership.","Ability to operate in a high-velocity environment, managing multiple concurrent high-priority sourcing events for unreleased technologies.","We prefer:","Experience in a hyper-growth Tech, Autonomous Vehicle (AV), or automotive manufacturing environment.","Engineering background or profound understanding of hardware development and systems engineering principles.","Experience using Ariba P2P, e-sourcing, and Spend Analysis tools.","Travel:","Estimated 10-15% (Vendor QBRs, supplier audits, & HQ visits as needed).","Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process. Reference the following list of cities we can hire remotely out of:","Atlanta, GA","Austin, TX","Dallas, TX","Houston, TX","Los Angeles, CA","Miami, FL","Nashville, TN","Orlando, FL","Phoenix, AZ","San Antonio, TX","San Francisco Bay Area, CA","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$159,000—$196,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-06-10T14:56:07-04:00","valid_through":null},{"id":"waymo-7845732","url":"https://roboticjobs.ai/jobs/waymo-7845732","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7845732","title":"Senior Machine Learning Engineer, Runtime and Serving","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python","CUDA","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The ML Optimization team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, optimization and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation.","We are looking for engineers with ML software & systems expertise to help build the next generation Waymo onboard ML inference engine for Waymo fundamental model. You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to . You will be pleasantly challenged with deploying Waymo ML models on limited computation resources. In this hybrid role, you will report to the Senior Manager of Runtime and Optimization.","You will:","Architect and develop an efficient, high-performance ML runtime and serving system tailored for both onboard autonomous vehicle compute and large-scale, offboard data center environments.","Lead the integration and feature development for ML inference runtimes across both domains, balancing the strict real-time latency and memory constraints of onboard systems with the high-throughput, highly concurrent demands of offboard serving fleets.","Drive the strategic migration of ML workloads toward a JAX-native runtime architecture, which includes extending and modifying underlying ML compilers and runtimes (e.g., OpenXLA/PjRT, TensorRT).","Collaborate with world-class Waymo ML practitioners across perception, planner, and research to analyze system-level ML workloads and apply hardware-aware compute optimizations.","Design and build robust tooling for profiling, benchmarking, and identifying system-level bottlenecks across the end-to-end ML software stack.","You Have:","B.S. or M.S. in CS, EE, Deep Learning or a related field","5+ years of professional software engineering experience focused on building, scaling, or maintaining ML systems and infrastructure.","5+ years production programming in C++.","3+ years of production experience in Python and major deep learning frameworks (e.g., PyTorch, JAX).","Experience optimizing ML software for hardware accelerators (e.g., GPUs, TPUs, custom silicon).","Experience building low-latency, highly concurrent distributed backend systems.","We Prefer","PhD in CS, EE, Deep Learning or a related field.","Experience modifying ML compilers, runtimes, or inference engines (e.g., TensorRT, ONNX Runtime, OpenXLA/PjRT, TVM).","Experience building or scaling LLM serving systems, including expertise in distributed inference and performance optimization (e.g., KV/prefix caching, continuous batching).","Experience with custom kernel development (e.g., CUDA/CUDA Tile, Triton, JAX/Pallas).","Experience architecting unified serving APIs and optimizing tensor buffer management (e.g., zero-copy data transfer, shared memory) for complex, multi-model inference pipelines.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-04-29T01:12:37-04:00","valid_through":null},{"id":"waymo-7848842","url":"https://roboticjobs.ai/jobs/waymo-7848842","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7848842","title":"Principal Software Engineer, Onboard Field Response","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$349,000—$431,000","compensation":[{"min":349000,"max":431000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $349,000—$431,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Onboard Software team develops the critical software and machine learning models that power the Waymo Driver. Our systems enable the vehicle to perceive its surroundings, make safe driving decisions, and transport people to their destinations. With Waymo's fleet driving millions of miles every week, we operate at a scale that exposes our technology to a vast array of challenging real-world scenarios.","As the Onboard Field Response Lead, you will play a key role in our continuous improvement cycle. Your primary responsibility will be to lead the engineering analysis and response to novel, rare, or unexpected events encountered by the fleet in the field. This includes rapidly improving the Waymo Driver in some of the most challenging driving situations we encounter, participating in high-judgment decisions given new driving situations, and proactively evolving the Onboard Software system to enhance its robustness and adaptability to these really challenging situations. This unique role blends the technical complexity of AI with the real-world complexity and impact of driving at scale. The challenges of ensuring field performance for a distributed, mobile, real-world system like ours are unprecedented.","If you are a software engineering leader with experience leading a large-scale production system who is passionate about solving first-of-their-kind problems with significant real-world impact and be hands on, we'd like to meet you.","This role follows a hybrid work schedule and reports to the head of Driver Refinement and Validation within the Onboard organization.","You will:","Lead the engineering analysis and response to novel, rare or unexpected events encountered by the fleet in the field.","Contribute to Onboard software architecture to help improve its robustness and debuggability.","Harden software, develop playbooks, improve oncall metrics and post-mitigation workstreams, and improve robustness of the software system running inside the autonomous vehicle.","Partner with organization leads and others across the Onboard organization to improve large-scale software engineering best practices.","Organize and participate in oncall rotations for how to respond to driving issues in the field.","If needed: request, hire, and manage additional engineers to contribute to the above responsibilities.","You have:","Master's degree or PhD in Computer Science, Engineering, or a related technical field","10+ years of experience leading large-scale production software systems, especially machine learned systems","5+ years of experience as an organizational leader, managing a group of people and partnering with other organizational leaders","Excellent influence without authority skills","Experience organizing and running oncall rotations","Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team","We prefer:","Experience leading hybrid hardware/software production systems","Experience leading teams who work on modern deep ML / large scale models","Track record of bringing about change in 1000+ person engineering organizations","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$349,000—$431,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-04-28T18:58:29-04:00","valid_through":null},{"id":"waymo-7884982","url":"https://roboticjobs.ai/jobs/waymo-7884982","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7884982","title":"Safety Case Research - Product Development Lead","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$241,000—$297,000","compensation":[{"min":241000,"max":297000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $241,000—$297,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.","In this hybrid role, you will report to the Head of Safety Management.","You will:","Drive the integration of safety case claims related to design and development processes, such as those related to: software development best practices, launch reviews, and Artificial Intelligence (AI) safety.","Revise and support new content within the safety case, as informed by international regulatory compliance requirements.","Collaborate with the current safety case drafting team to ensure consistency in processes and content included in the safety case, as well as parity of rigor and maturity.","Ensure that management of change practices and other safety case policies continue to be upheld, and evaluate change impact across Waymo’s expanding Operational Design Domain, and across vehicle platforms.","Support the expansion of the safety case to multi-platform architectures.","Develop far-reaching strategies and related communications for operational excellence and scalability, specifically within the Safety Management System (SMS) and policy domain.","As appropriate, engage with internal and external stakeholders/regulators regarding safety processes and standards.","Contribute to the research agenda on critical safety topics and contribute to overall best practices for the Safety Management and Best Practices team.","You have:","Minimum 3 years software release management first-hand experience, inclusive of software development best practices, software quality assurance reviews, and updates management.","Demonstrated ability to translate complex external regulations, standards, or nascent industry best practices into actionable, robust internal policies and procedures.","Proven experience conducting change impact analysis and evaluating the effects of system or process changes across multiple platforms or operational domains.","Experience in drafting, contributing to, or maintaining official safety-related documentation, such as a Safety Case, for regulatory submissions.","We prefer:","Preferred experience with safety-critical software.","Experience in the certification of safety-critical software and/or hardware.","A track-record of engagement in scientific research.","Travel:","The Safety Best Practices team is spread across multiple regions. Travel is required for team on-sites as well as for project-based activities such as audits (internal or external).","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$241,000—$297,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-22T16:17:38-04:00","valid_through":null},{"id":"waymo-7890744","url":"https://roboticjobs.ai/jobs/waymo-7890744","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7890744","title":"International Standardization Lead (Staff Researcher)","employer":{"id":"waymo","name":"Waymo"},"location":"London, England, United Kingdom","work_mode":"See listing","discipline":"Perception & AI","experience":"Internship","detected_skills":[],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.","In this hybrid role, you will report to the Head of Safety Management.","You will:","Set Standardization Strategy: Develop a thoughtful, coordinated, company-wide strategy and approach for Waymo’s engagement with SDOs (inclusive of ISO, IEEE, SAE), defining clear goals, levels of engagement, and governance processes for content accountability.","Act as an Internal/External Medium: Serve as the primary liaison between Waymo's internal practices and external Standard Development Organizations, actively working to consolidate internal consensus and assess how Waymo’s practices align with or differentiate from external ones.","Run Internal Training: Develop and run internal training programs to align engineering, product, and cross-functional teams on external standardization landscapes, compliance goals, and Waymo’s internal stances.","Shape Industry Optionality: Strategically prioritize Waymo's participation in working groups to contribute to shape consensus and advance safety across space while retaining the necessary optionality.","Drive Publication and Leadership: Lead efforts to formulate and publish Waymo's internal best. practices to external committees, continuing to establish Waymo as a critical partner across the industry.","Cross-Functional Coordination: Collaborate closely with the rest of the Safety Management and Best Practices (SMBP) team, legal regulatory groups, and engineering to establish appropriate platforms for critiquing perspectives and consolidating a consistent positioning on topics of interest.","You have:","Minimum 7+ years of experience actively engaging with and participating in Standards Development Organizations (e.g., ISO, IEEE, SAE), inclusive of ISO TC 22 SC 32/36/39; ISO TC 204; SAE ORAD.","Proven track record of developing and setting corporate strategy for standardization engagement within a highly technical or safety-critical domain.","Demonstrated ability to build consensus, translate complex external requirements into actionable internal policies, and serve as a medium between technical teams and external stakeholders.","Deep understanding of automotive safety frameworks, Verification & Validation methods, and behavioral evaluation.","Exceptional communication skills with the ability to represent the company publicly, navigate ambiguity, and maintain poise in committee settings.","We prefer:","Prior leadership positions or placements on umbrella committees within ISO, SAE, or IEEE that allow visibility into multiple subcommittees","Experience designing and running internal training programs or educational initiatives across complex matrix organizations.","Track record of contributions to published scholarly literature, recommended practices, or technical reports","Familiarity with Waymo’s approach to safety and its safety case","Travel requirements:","Travel is required for key SDO committee meetings, conferences, and team onsites.","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","£141,000—£148,000 GBP"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-13T14:59:35-04:00","valid_through":null},{"id":"waymo-7891021","url":"https://roboticjobs.ai/jobs/waymo-7891021","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7891021","title":"Senior Safety Researcher, Computational Behavior Modeling","employer":{"id":"waymo","name":"Waymo"},"location":"London, England, United Kingdom","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":[],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Waymo Safety team works to promote and help to continuously improve the safety of Waymo’s fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.","In this hybrid role, you will report to the Senior Staff Safety Researcher, Human Behavior.","You will:","Be a technical leader in the area of computational road user behavior modeling","Research and develop metrics and computational models of road user cognition and behavior for use in Waymo's safety evaluation methodologies","Work closely with other Waymo teams, in particular the the Simulation and AI Foundations teams, to productionize behavioral metrics/models in Waymo’s simulation infrastructure","Explore and innovate novel modeling concepts and ideas in research projects with external academic partners","Publish your work in scientific journals and conferences","You have:","A doctoral degree in a field that involves a combination of computational/mathematical modeling and cognitive science/ behavioral science","At least 5 years of experience, and a strong publication record, in computational modeling of human and/or animal cognition and behavior","Strong coding and mathematical skills","Strong collaboration and communication skills","We prefer:","Experience in active inference-based modeling","Experience in modern AI-based modeling (world models, learning paradigms etc.)","Experience in traffic safety research","Travel:","Travel is required for this role and can be up to 10%. Travel would consist of attending global academic conferences and traveling to Waymo's headquarters.","The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","£113,000—£119,000 GBP"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-13T14:58:23-04:00","valid_through":null},{"id":"waymo-7901943","url":"https://roboticjobs.ai/jobs/waymo-7901943","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7901943","title":"Sr. Staff Software Engineer, Fleet Orchestration, TLM","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, United States; San Francisco, CA, United States","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$298,000—$368,000","compensation":[{"min":298000,"max":368000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $298,000—$368,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","You will:","Lead a high-caliber team: Manage and mentor a 7-member engineering team (including L5 Senior and L6 Staff engineers), fostering a culture of technical excellence, operational rigor, and psychological safety.","Architect mission-critical platforms: Oversee the architecture and evolution of Fleet Orchestration Core systems, which serve as the source of truth for all vehicle task assignments and execution across Waymo's autonomous fleet.","Create the vision: Drive the technical vision, strategy, and roadmap for the centralized platform managing offboard driving behavior, ensuring high reliability, safety, and efficiency for Waymo's fleet, while reliabily enforcing safety invariants and keeping pace with rapid fleet scaling.","Cross-functional collaboration: Collaborate closely with Product Management, Operations, Data Science, SRE, and other engineering teams to define requirements and deliver impactful solutions.","Scale and reliability: Foster a culture of engineering excellence, focusing on system reliability, scalability, and continuous improvement.","You have:","BS degree in Computer Science or equivalent practical experience.","10+ years of software engineering experience in backend infrastructure, distributed systems, and C++.","5+ years of experience in engineering management, leading and growing high-performing teams.","Proven ability to drive technical strategy and architecture for complex, large-scale systems.","Track record of building alignment across cross-functional engineering and product organizations while navigating complex, ambiguous technical environments.","Excellent communication and collaboration skills.","We prefer:","MS or PhD in Computer Science or a related field.","Domain knowledge in fleet management, ride-hailing/delivery logistics, supply optimization, or autonomous vehicle systems.","Experience with Google/Waymo core infrastructure (e.g., Spanner, Flume, Borg, Protocol Buffers, Conductor/Viceroy).","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$298,000—$368,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-07-24T23:01:05-04:00","valid_through":null},{"id":"waymo-7902617","url":"https://roboticjobs.ai/jobs/waymo-7902617","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7902617","title":"Staff Software Engineer, Speciality PUDO","employer":{"id":"waymo","name":"Waymo"},"location":"Warsaw, Poland","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.","We are looking for a passionate Backend Software Engineer to enhance the rider experience and develop systems for understanding our operational environment. Your work will involve both refining the in-app experience, especially in complex venues like airports, and building a platform to collect and analyze city health data, generating crucial insights for internal teams and external partners.","You will be developing high-quality, reliable, and scalable backend systems that form the backbone of mission-critical Waymo infrastructure, enabling new functionalities, supporting expansion into new markets, and providing data-driven intelligence.","You will:","Lead the design and development of high-impact backend systems and APIs crucial for Waymo's rider experience and operational intelligence.","Architect and implement scalable platforms to ingest, process, and analyze city and vehicle data, generating key insights.","Drive the technical vision and roadmap for backend services that support seamless rider journeys, especially in complex venues.","Build and maintain robust, mission-critical infrastructure to support Waymo's expanding autonomous vehicle operations.","Collaborate across engineering, product, and operations teams to deliver innovative solutions for our riders and internal tools.","Mentor other engineers, championing best practices in software design, testing, and reliability.","Own the end-to-end delivery of complex features, from conception through production deployment and beyond.","Enhance system performance and scalability to ensure highly reliable service for our autonomous fleet.","You have:","Bachelor’s degree or equivalent practical experience.","8 years of experience in backend development, across back-end such as Java/Kotlin, Python, Go, or C++ codebases.","Experience with designing and developing distributed systems.","Experience collaborating with other software developers and cross-functional stakeholders at multiple levels and across sites.","Experience in leading large efforts and a team of engineers.","Excellent communication and collaboration skills.","We prefer:","Experience with engineering artifacts, reliability monitoring and alerting, security and privacy practices and techniques, documentation, integration testing, production hygiene, and support processes.","Experience with large scale distributed systems.","Proficiency in c++.","Experience in leading teams of engineers.","#LI-Hybrid"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-12T09:30:52-04:00","valid_through":null},{"id":"waymo-7905643","url":"https://roboticjobs.ai/jobs/waymo-7905643","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7905643","title":"Machine Learning Engineer, Marketplace Pricing","employer":{"id":"waymo","name":"Waymo"},"location":"MountainView, CA, United States  ","work_mode":"See listing","discipline":"Perception & AI","experience":"Other levels","detected_skills":["C++"],"advertised_pay":"$175,000—$215,000","compensation":[{"min":175000,"max":215000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","TaaS (Transportation as a Service) is responsible for building an amazing user experience and business around the Waymo Driver. We are responsible collectively for Growth, Territory Expansion, Service Quality (including pickup, dropoff and routing), Marketplace (pricing, positioning, matching), and Partnerships / B2B(2C) monetization.","The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.","The Pricing team drives Waymo's revenue and business strategy by developing dynamic pricing algorithms that balance supply and demand in real-time. They build sophisticated models to set pricing, ensuring the service remains competitive and attractive to riders while maximizing fleet utilization and profitability across all operating markets. Their work is critical to navigating the complexities of ride-hailing dynamics, balancing user price sensitivity with operational efficiency.","You will:","Implement and scale Waymo's core dynamic pricing engine to drive revenue and business strategy across all operating markets.","Develop and deploy sophisticated ML models and optimization algorithms to set real-time pricing that balances supply, demand, and user price sensitivity.","Build and maintain infrastructure for pricing experimentation, monitoring, and analysis to ensure service competitiveness and fleet profitability.","Partner with product data scientists to productionize innovative pricing models, such as route-specific and session-based pricing solutions.","You have:","BS degree in Computer Science or equivalent practical experience","4+ years of experience programming in backend coding languages","Experience in building backend distributed system","Experience in developing machine learning/optimization infrastructure and pipelines","Prior experience building and deploying ML / Optimization models into production environments","We prefer:","Experience in C++","MS in Computer Science, or equivalent practical experience","Experience in developing low latency, large-scale, user facing distributed systems","Experience at another Ride hailing or Marketplace company","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$175,000—$215,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-12T14:17:31-04:00","valid_through":null},{"id":"waymo-7905693","url":"https://roboticjobs.ai/jobs/waymo-7905693","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7905693","title":"Sr. Machine Learning Engineer, Marketplace ML Platform","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, United States ","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.","The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the goal of providing unified user-friendly Experimentation platform.","You will:","Implement and scale the core economic engine for Waymo's ride-hailing commercial services.","Develop high-level infrastructure code for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.","You have:","BS degree in Computer Science or equivalent practical experience.","5+ years of experience programming in backend coding languages such as Java or C++.","Experience in building backend platforms supporting multiple product use-cases/services.","Prior Machine Learning Engineering experience in Python using mature ML frameworks such as TensorFlow, PyTorch or Keras.","We prefer:","MS in Computer Science, or equivalent practical experience.","Experience building and deploying ML / Optimization models into production environments.","Experience developing ML data pipelines and ML workflow automation code on top of a mature ML infra.","Experience working at another Ride hailing or Marketplace company.","Coursework background in ML and Optimization.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-12T00:19:28-04:00","valid_through":null},{"id":"waymo-7905695","url":"https://roboticjobs.ai/jobs/waymo-7905695","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7905695","title":"Staff Software Engineer, Booking","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, United States","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Want to build the front doors to the future of transportation? The Booking team is responsible for some of the most critical, high-impact, user-facing flows in the app — directly enabling users to hail and control Waymo’s autonomous vehicles with industry-leading UX. We solve complex user-facing challenges: building intelligent scheduling features, supporting diverse hailing modalities beyond standard ride-hailing, designing intelligent search and suggestions, and creating many other offers and experiences that we can’t share just yet. We’re a small team with huge plans, and we’d love for you to join us!","You will:","Work on a small team designing, building, and maintaining highly scalable core services that are the front door to Waymo’s Marketplace. Directly enable users to hail and control Waymo’s autonomous vehicles.","Ensure high reliability, low latency, and fault tolerance for critical infrastructure powering Waymo’s user-facing service.","Collaborate closely with Booking iOS & Android engineers, product managers, UX designers / researchers, and data scientists to bring novel autonomous ride-hailing features to market.","Architect APIs and systems that serve both internal and external partners.","You have:","BS degree in Computer Science or equivalent practical experience.","8+ years of experience programming in backend coding languages.","Experience in building backend distributed systems.","We prefer:","Experience with C++ in a production environment.","MS in Computer Science, or equivalent practical experience.","Experience in developing low latency, large-scale, user facing distributed systems.","Familiarity with ride-hailing or marketplace consumer platforms.","Strong cross-functional collaboration skills, interest in partnering with mobile/frontend teams.","Experience at another Ride hailing or Marketplace company.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-12T13:35:01-04:00","valid_through":null},{"id":"waymo-7905709","url":"https://roboticjobs.ai/jobs/waymo-7905709","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7905709","title":"Software Engineer, Marketplace Logistic","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, United States ","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["C++"],"advertised_pay":"$175,000—$215,000","compensation":[{"min":175000,"max":215000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.","You will:","Implement and scale the core economic engine for Waymo's ride-hailing commercial services. This collection of systems manages trip requests; matches right vehicles to riders; calculates the price of rides; positions Waymo’s vehicle for future demands.","Developing infrastructure for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.","Create experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models.","Partnering with product data scientists to develop and productionize pricing and matching models for Waymo","You have:","BS degree in Computer Science or equivalent practical experience","4+ years of experience programming in backend coding languages","Experience in building backend distributed system","We prefer:","Experience in C++","MS in Computer Science, or equivalent practical experience","Experience in developing low latency, large-scale, user facing distributed systems","Experience in developing machine learning/optimization infrastructure and pipelines","Prior experience building and deploying ML / Optimization models into production environments","Experience at another Ride hailing or Marketplace company","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$175,000—$215,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-08-18T14:21:35-04:00","valid_through":null},{"id":"waymo-7909457","url":"https://roboticjobs.ai/jobs/waymo-7909457","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7909457","title":"Staff Software Engineer, 3D & Data Visualization Tools","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, US; San Francisco, CA, US","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's central platform and product for visual debugging, telemetry, and triage provides teams across the company (including Perception, Behavior, and Simulation) with 3D and data visualization tools, using a C++ and TypeScript framework to integrate domain-specific visualizations into a single tool. The backend processes and streams 4D (3D + time) time-series logs, real-time telemetry, and simulation data. In this L6 role, you will own the C++ server infrastructure and concurrent data streaming pipelines. You will design C++ abstractions to load and process fleet logs, optimize Borg and RPC performance, and build APIs that let engineers and automated evaluation pipelines analyze driving data.","You will:","• Build and maintain concurrent C++ backend services (Borg/Boq RPC servers) that stream time-series and sensor data to the client.","• Scale C++ data delivery abstractions for offboard storage (CNS, Spanner) and WebRTC streams.","• Optimize latency and throughput using log-sampling, payload post-processing (deduplication, timeline merging), and async C++ services.","• Build backend APIs for automated callers (triage bots, evaluation executors) to render driving scenes.","• Plan technical roadmaps and own the scaling, security, and performance isolation of the offboard data infrastructure.","• Mentor engineers, review system designs, and establish systems-level C++ best practices.","You have:","• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.","• 5 years of software development experience in C++.","• Experience with systems programming, including multi-threading, concurrency, memory efficiency, and profiling.","• Experience building high-throughput distributed systems, RPC services, or time-series data pipelines.","• Experience leading technical designs and mentoring engineers on complex, multi-quarter projects.","We prefer:","• Experience with Google-internal infrastructure (Borg, Boq, Stubby/gRPC, CNS, and Spanner).","• Experience developing backend systems for video/image rendering, WebRTC, or developer tools.","• Familiarity with autonomous vehicle data formats (RoadGraph, sensor logs, and trajectory prediction outputs).","• Familiarity with web client architectures (Angular, TypeScript) to design client-server APIs.","• Experience with TDD, performance profiling, and integration testing.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-10T21:24:21-04:00","valid_through":null},{"id":"waymo-7912801","url":"https://roboticjobs.ai/jobs/waymo-7912801","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7912801","title":"Staff Software Engineer, Driver Validation ","employer":{"id":"waymo","name":"Waymo"},"location":"Warsaw, Poland ","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Join our Waymo Commercialization team, and help us design the future of transportation! We are looking for a passionate Staff SWE who wants to help build the systems that improve Waymo's core ride hailing and fleet management systems.","You will work on cross-cutting problems to require cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure.","In this hybrid role, you will report to an Engineering Manager.","You will:","Help build and evolve mission-critical horizontal infrastructure and tooling that underpins all commercialization systems","Collaborate with other engineering teams to develop systems and processes as business needs grow and evolve","Scale our systems to meet the demands of commercial expansion and growing complexity","Solve hard, real-world problems such as world simulation for regression testing and evaluation of software services managing fleets for autonomous vehicles","You have:","BS degree in Computer Science or equivalent practical experience","6+ years of backend or infrastructure experience","We prefer:","Experience with C++ (or a willingness to participate in professional development activities to stay current on industry knowledge)","Experience working in environments including nontechnical team members","Experience with operations tooling, developer productivity, or developer tools","#LI-Hybrid"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-27T15:59:45-04:00","valid_through":null},{"id":"waymo-7912831","url":"https://roboticjobs.ai/jobs/waymo-7912831","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7912831","title":"Staff Software Engineer, Chassis","employer":{"id":"waymo","name":"Waymo"},"location":"Warsaw, Poland ","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Join our Waymo Commercialization team, and help us design the future of transportation! We are looking for a passionate Staff SWE who wants to help build the systems that improve Waymo's core ride hailing and fleet management systems.","You will work on cross-cutting problems to require cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure.","In this hybrid role, you will report to an Engineering Manager.","You will:","Help build and evolve mission-critical horizontal infrastructure and tooling that underpins all commercialization systems","Collaborate with other engineering teams to develop systems and processes as business needs grow and evolve","Scale our systems to meet the demands of commercial expansion and growing complexity","Solve hard, real-world problems such as world simulation for regression testing and evaluation of software services managing fleets for autonomous vehicles","You have:","BS degree in Computer Science or equivalent practical experience","6+ years of backend or infrastructure experience","We prefer:","Experience with C++ (or a willingness to participate in professional development activities to stay current on industry knowledge)","Experience working in environments including nontechnical team members","Experience with operations tooling, developer productivity, or developer tools","#LI-Hybrid"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-06-02T13:29:17-04:00","valid_through":null},{"id":"waymo-7917911","url":"https://roboticjobs.ai/jobs/waymo-7917911","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7917911","title":"Software Engineer,  Real-Time Communication Infrastructure","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Other levels","detected_skills":["C++","Linux"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The real-time communication infrastructure between Waymo vehicles and cloud services is one of the most critical pillars for Waymo’s rapid business growth and expansion. Our mission is to develop and maintain a cutting-edge, globally scalable infrastructure for real-time communication between Waymo vehicles and cloud services. As Waymo rapidly scales its commercial operations and expands its autonomous fleet across diverse operating environments, sustaining ultra-reliable vehicle connectivity in challenging, congested, and weak-signal wireless conditions is essential to fleet safety and availability.","You will:","Lead the architectural design, implementation, and scaling of Waymo’s mission-critical real-time communication infrastructure and onboard networking stack.","Design and build highly reliable, low-latency transport protocols and communication systems to ensure continuous connectivity across dynamic and challenging wireless environments.","Optimize network performance, data transmission efficiency, and traffic prioritization between vehicle fleets and cloud services.","Partner with cross-functional engineering teams across onboard vehicle systems, cloud platforms, and fleet operations to support mission-critical data exchange.","Provide technical leadership, mentor team members, and champion engineering best practices in system reliability, concurrency, and performance.","You have:","BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.","5+ years of software engineering experience in C++ within Linux environments.","3+ years of experience designing, building, and operating low-latency network protocols, communication systems, or distributed systems.","Deep expertise in systems and network programming, multithreading, concurrency, and asynchronous I/O.","Demonstrated track record of technical leadership—navigating ambiguous problems and delivering complex systems to production.","We prefer:","MS or Ph.D. in Computer Science, Computer Engineering, or a related technical field.","Experience with wireless and cellular networking architectures (LTE/5G, multi-link bonding, mobile networking protocols).","Familiarity with Linux networking internals, socket programming, or network traffic management.","Experience with modern transport protocols, proxies, or streaming technologies (e.g., QUIC, WebRTC, Envoy).","Experience developing software for embedded Linux, automotive platforms, robotics, or autonomous vehicle systems.","Strong background in performance profiling, network optimization, and system resilience.","Location in or willingness to relocate to the San Francisco Bay Area is preferred.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-13T17:35:55-04:00","date_posted":"2026-10-07T13:38:12-04:00","valid_through":null},{"id":"waymo-7917933","url":"https://roboticjobs.ai/jobs/waymo-7917933","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7917933","title":"Technical Lead Manager, Query & Storage SWE","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","This role follows a hybrid work schedule and reports to Sr. Staff TLM","You will:","Lead, mentor, and grow a team of software engineers, fostering a culture of engineering excellence, innovation, and collaboration.","Define and execute the technical roadmap of the data pipeline, storage, and query infrastructure for Waymo driver evolution and commercialization expansion","Drive the design, development, and operation of highly scalable, reliable, and efficient distributed systems for massive-scale data processing and analysis.","Collaborate closely with stakeholders across Engineering (e.g., Perception, Planner, Simulation) and Data Science to understand needs and deliver impactful solutions.","Own the end-to-end lifecycle of your team's systems, including architecture, implementation, testing, deployment, and monitoring.","Champion best practices in software development, system design, and operational excellence.","You have:","BS, MS, or PhD in Computer Science or a related field.","8+ years of software engineering experience, with a proven track record of designing and building large-scale distributed systems.","Deep understanding of query engines and query optimization (e.g., F1 Query, Presto) and storage systems (e.g., Bigtable, Spanner).","2+ years of experience in engineering management or tech leadership, including people management, project leadership, and technical direction.","Strong software development skills, with proficiency in SQL and one of C++/Java/Python.","Excellent problem-solving, communication, and interpersonal skills.","We prefer:","Demonstrated ability to influence and drive alignment across multiple teams.","Experience with data warehousing, data modeling, and SQL optimization.","Expeience with data processing frameworks (e.g., Flume, Spark, Beam) and stream and batch processing technologies.","Familiarity with Google's internal data infrastructure and tools.","Domain knowledge in autonomous vehicles, robotics, or large-scale data analysis.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-05-22T14:22:25-04:00","valid_through":null},{"id":"waymo-7922569","url":"https://roboticjobs.ai/jobs/waymo-7922569","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7922569","title":"Lead Diagnostic Technician ","employer":{"id":"waymo","name":"Waymo"},"location":"Munich, Germany","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":[],"advertised_pay":null,"compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate.","In this in person role, you will report to Waymo Operations.","You will:","Lead as a Technical Expert: Leverage in-depth knowledge and troubleshooting expertise to address complex issues outside of documented standard operating procedures. Engage with Waymo Engineering teams and OEM partners to resolve concerns.","Provide Partner Support: Minimize vehicle downtime by managing escalations from partner technicians facing novel or complex issues. Guide these diagnostics remotely and in-person.","Administer & Develop Training: Conduct on-the-job training (including train-the-trainer) to fleet service teams as a certified instructor. Assist in the continuous development of training content.","Maintain Quality Standards: Ensure market adherence to service and quality assurance standards that drive safety and consistency. Conduct regular audits and assessments to verify compliance.","Document Technical Knowledge: Develop and maintain technical documentation, troubleshooting guides, operating procedures, and best practices to support fleet service teams","Proactively Identify Risks and Opportunity: Collaborate with engineering teams to identify and address potential issues before they impact fleet uptime. Perform analysis that identifies high value diagnostic development opportunities","You have:","5+ years experience in an automotive technician or automotive engineering role","Mastery of automotive diagnostic strategies and tools covering mechanical, electrical, and networking (e.g. CAN)","Demonstrated experience in managing multiple projects simultaneously while ensuring timely delivery and quality outcomes","Strong verbal, written, and interpersonal communication skills, with the ability to work effectively with cross-functional teams, external partners, and executives","Analytical skills to identify developmental opportunities and communicate them effectively","Experience servicing and diagnosing electric or hybrid vehicles (high voltage qualification preferred)","We prefer:","In market qualifications and accreditations","Experience building or servicing autonomous vehicles or technology","Travel Requirements:","Up to 20%","Some travel to the US for training & ongoing supporting other markets in the UK and likely other markets in the EU"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-09-15T14:10:06-04:00","valid_through":null},{"id":"waymo-7926270","url":"https://roboticjobs.ai/jobs/waymo-7926270","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7926270","title":"Senior Staff Regulatory and Compliance Systems Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$272,000—$336,000","compensation":[{"min":272000,"max":336000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $272,000—$336,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.","This role follows a hybrid work schedule and you will report directly into Systems Engineering Leadership.","You will:","Provide technical thought leadership and will be consistently called upon in setting (scalable) strategy for (technical but regulatory) evidence generation.","Drive the implementation of functional safety requirements across platform systems and lower-level fault response frameworks","Deeply understand Waymo’s safety framework methodologies, safety data, and internal processes, and square them against external requirements to spot gaps and opportunities. Bring your technical expertise and judgement to bear on which are the highest ROI activities for Waymo to pursue. Topics may include: ODD coverage, behavioral competencies definition and testing strategy, argumentation for safety in relation to \"discovery\" and uncertainty management, and other topics related to behavioral safety","Contribute to international market entry strategy by mapping internal behavioral data and safety methodologies to international standards (e.g., UNECE requirements and Type Approval processes) to close compliance gaps","Represent technical teams and concepts accurately and consistently with regulators","Duties will involve both the design of documentation and the strategy to support data pipelines that would populate the data for said documents","You have:","10+ years of experience driving new product adoption, ideally in safety-critical industries","Deep knowledge of system architectures and full the lifecycle of design, development, testing, and deployment of safety critical systems. This technical expertise need not be in autonomous vehicles, but preferably in systems of similar levels of complexity","Demonstrated capability to interface with core software/data engineering teams, acting as a translator to turn ambiguous, external regulatory requests into concrete engineering requirements and data schemas","Proven ability to extract and process data from massive, distributed relational/non-relational databases","Proven experience translating complex regulatory, compliance or international technical safety standards (e.g., ISO 26262, ISO 21448/SOTIF, UL 4600) into concrete engineering requirements","Deep understanding of the international regulatory environment","We prefer:","Prior experience engineering compliance data or safety evidence pipelines within autonomous driving (ADS), aerospace, robotics, or medical device industries","Experience successfully driving a highly complex, safety-critical product through a new international market entry or type approval process","An engineering background with a deep understanding of how Autonomous Driving Systems (ADS) or systems of similar complexity are structurally architected","Fluency of technical safety standards or validation concepts (e.g., ISO 26262, ISO 21448/SOTIF, UL 4600, or international automotive homologation data structures)","Experience building automated, verifiable reporting tools that programmatically populate compliance documentation or safety case repositories","Travel:","Up to 10% International travel to potential future Waymo Markets","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$272,000—$336,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:40-04:00","date_posted":"2026-05-18T18:06:36-04:00","valid_through":null},{"id":"waymo-7927507","url":"https://roboticjobs.ai/jobs/waymo-7927507","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7927507","title":"Staff Systems Engineer, Hardware Architecture ","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Mechanical & Hardware","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$230,000—$284,000","compensation":[{"min":230000,"max":284000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $230,000—$284,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and you will report to a Systems Architect","You will:","Lead and conduct complex, multi-attribute trade studies to define the architecture of the next-generation Waymo Driver, balancing performance, reliability, cost, and other key factors","Develop and analyze architectural options for the overall Self-Driving System, with a strong emphasis on safety via robust fallback systems and high reliability","Collaborate with and drive alignment across diverse engineering teams (Software, Hardware, Sensing, Compute, Safety, Reliability) to make holistic and informed architectural decisions","Define key system interfaces and behaviors, ensuring a cohesive and well-integrated system design","Create and present clear and compelling technical recommendations to senior leadership and stakeholders, justifying architectural choices with data and analysis","Work closely with systems engineering to decompose architectural decisions into clear requirements for subsystem development","Manage and guide architectural change across current and future SDS generations, ensuring consistency and a clear evolution path","You have:","A bachelor's degree in Engineering (e.g., EE, ME, CS, Aerospace) or a related technical field","5+ years of experience in systems architecture, systems engineering, or complex system design, preferably in autonomous vehicles, aerospace, or robotics","Proven ability to lead and execute complex technical trade studies involving multiple disciplines and competing objectives","Strong understanding of the underlying principles for design for high availability and safety-critical applications","Deep understanding of autonomous system components and their functionality in at least one major area (Sensing, Compute, Software, Networking/ interconnections, Cleaning)","Exceptional cross-functional communication and collaboration skills, with the ability to influence without direct authority","We prefer:","Experience with functional safety (ISO 26262) and SOTIF (ISO 21448)","Experience with Model-Based Systems Engineering (MBSE) tools and methodologies (e.g., SysML)","Knowledge of reliability engineering analysis techniques (e.g., FMEA, FTA, Weibull analysis)","Experience with performance modeling and simulation of complex systems","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$230,000—$284,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-05-14T19:41:21-04:00","valid_through":null},{"id":"waymo-7932205","url":"https://roboticjobs.ai/jobs/waymo-7932205","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7932205","title":"Senior Staff Technical Lead Manager, In-Car Experience","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++"],"advertised_pay":"$298,000—$368,000","compensation":[{"min":298000,"max":368000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $298,000—$368,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","We are building a team of engineers dedicated to further developing our in-car experience. Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space.","In this hybrid role, you will report to an Engineering Director.","You will:","Be a manager of a few TLMs and their teams, leading the development of all components of the entire in-car experience (ICX), partnering with product, design, and data science on creating the premier autonomous vehicle experience.","Set the overarching technical architecture, defining a multi-year technical vision across the entire in-car experience (ICX), bridging the gap between the different layers of the stack, from low-level hardware bring-up to our OS to rider-facing apps and features.","Identify broad, cross-team bottlenecks (e.g., OS stability, rendering performance, release automation), and translate them into clear, actionable engineering milestones for the teams to execute on that improve both velocity and stability.","Steer the technical integration of complex, high-impact features, such as our 3D car view, AI features, and in-car app ecosystem.","Act as a force multiplier for the organization by establishing high standards for code health, system reliability, and testing excellence, while providing deep technical mentorship to junior and senior engineers.","Set high level direction and empower your TLMs to drive projects, while you ensure the bar is met and the sum of the pieces is aligned and creates a cohesive and compelling product","You have:","Management experience with a total team size over 25 with multiple sub-teams.","Managed multiple TLMs, each with team size of 6-8","Proven experience as a technical lead with a track record of setting strategic technical direction and delivering concrete solutions for complex, multi-team domains.","Experience working with Android/AOSP (building Android platform features, frameworks), not just developing apps on top of Android","Deep expertise spanning the modern application and embedded stack, specifically involving Android OS internals, C++ native layers, and modern UI frameworks (Kotlin, Jetpack Compose), as well as complementary backend systems.","Strong system design skills with a demonstrated ability to decouple monolithic architectures, build reusable platform infrastructure, and optimize resource-constrained environments.","Exceptional communication and cross-functional leadership skills, capable of influencing without direct authority to build alignment across Product, UX, Systems Engineering, and Hardware teams.","AI-native mindset with a proven track record of deploying agent systems to improve team velocity","We prefer:","Familiarity with automotive context with Android.","Experience establishing frameworks for third-party experiences.","Experience integrating new hardware features into an extensible framework for 1P and 3P usage.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$298,000—$368,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-05-18T17:15:15-04:00","valid_through":null},{"id":"waymo-7939542","url":"https://roboticjobs.ai/jobs/waymo-7939542","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7939542","title":"Senior Machine Learning Engineer, Fleet Monitoring & Response","employer":{"id":"waymo","name":"Waymo"},"location":"San Francisco, CA; Mountain  View, CA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Senior","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","You will:","Design, scale, and optimize Waymo's real-time Fleet Monitoring and event response engine to support expansion to global operating locations.","Develop and deploy spatial-temporal anomaly detection models (e.g., S2-cell statistical regressions) and leverage Multimodal Foundation Models (Gemini/VLMs) to detect, triage, and automatically respond to off-nominal operations.","Build and standardize the ML infrastructure for fleet monitoring models, including automated training/inference pipelines, low-latency spatial data stores (e.g., in-memory S2 grids), and continuous model drift monitoring.","Partner with Product Data Scientists to productionize, evaluate, and scale experimental models, translating notebooks and prototype algorithms into production-grade systems.","You have:","BS degree in Computer Science or equivalent practical experience.","6+ years of experience programming in backend coding languages such as Java or C++.","Experience in building backend platforms supporting multiple product use-cases/services.","Prior Machine Learning Engineering experience in Python using mature ML frameworks such as TensorFlow, PyTorch or Keras.","We prefer:","MS in Computer Science, or equivalent practical experience.","Experience building and deploying ML / Optimization models into production environments.","Experience developing ML data pipelines and ML workflow automation code on top of a mature ML infra.","Experience working at another Ride hailing or Marketplace company.","Coursework background in ML and Optimization.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-05-18T14:14:45-04:00","valid_through":null},{"id":"waymo-7943238","url":"https://roboticjobs.ai/jobs/waymo-7943238","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7943238","title":"Staff Software Engineer, Quantitative Evaluations","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!","This role follows a hybrid work schedule and reports to anSr. Engineering Manager.","You will:","Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.","Use simulation creatively and mine real world driving logs to measure driving performance.","Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.","Champion code health and best practices in a large and complex code base.","Analyze data and make recommendations on how to improve metric quality and interpretability.","Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.","You have:","BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area","Strong self-motivation to navigate complex systems and pursue open-ended problems to completion","4-7 years of industry experience with","Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL","Performing statistical analyses","Building data processing pipelines","Writing, reviewing, and merging code following industry standards for code health and maintainability","Quant/data fluency is a top requirement","We prefer:","Experience coding in C++","Experience with ML","Experience with A/B experiment infrastructure","Experience building and validating metrics to measure quality in complex systems","Exposure to ad-hoc data analysis tools for rapid modeling and prototyping","Experience working in the AV industry","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-05-27T14:29:08-04:00","valid_through":null},{"id":"waymo-7947243","url":"https://roboticjobs.ai/jobs/waymo-7947243","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7947243","title":"Senior Software Engineer, Fleet Response Infrastructure","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, United States of America","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Fleet Response team's mission is to accelerate the safe deployment of Waymo's autonomous technology. Fleet Response operates at the cutting edge of our autonomous driving operations. In certain highly ambiguous or complex situations, the Waymo Driver can request the assistance of human Fleet Response Operators (FROs) to provide extra context and information. Those operators use a web application to receive real-time video, audio, and other telemetry from the vehicle and provide guidance back to the Driver.","We are seeking a passionate engineer to develop Fleet Response’s mission-critical full-stack systems that make this real-time collaboration possible. You will work with a team of talented engineers to deliver reliable, globally-available, low-latency visualization and interaction — with a direct impact on Waymo’s autonomous fleet every single day.","You will:","Contribute to the end-to-end reliability and performance of mission-critical web applications used for real-time autonomous vehicle support.","Work on frontend and backend infrastructure, including robust APIs and seamless integration with upstream and downstream services.","Ensure the Fleet Response platform scales effectively to meet Waymo’s reliability, performance, and functionality requirements.","Advise and guide cross-functional engineers across Fleet Response and broader Waymo teams to ensure optimal utilization of web application systems","Partner closely with Waymo SRE to drive global scalability and maintain the high availability of mission-critical, real-time platforms.","You have:","Bachelor’s degree in Computer Science or similar technical field of study","4+ years of industry experience with web applications (frontend and backend).","Familiarity with web client architectures (Angular, TypeScript, RxJS, etc).","Enjoyment from working closely with your users.","A strong intrinsic motivation for reliability.","We prefer:","Experience bringing technical and non-technical groups together.","Experience with C++.","Experience building high-reliability distributed systems or RPC services.","An investigative mindset.","A track record of successful partnerships with SRE.","#LI-Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-07-22T15:38:33-04:00","valid_through":null},{"id":"waymo-7947334","url":"https://roboticjobs.ai/jobs/waymo-7947334","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7947334","title":"Tech Lead Manager, Data Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["C++","Python"],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","This role follows a hybrid work schedule and reports to Sr. Staff TLM.","You will:","Lead, mentor, and grow a team of data engineers responsible for the Waymo Commercialization Data Lake and associated data pipelines.","Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals.","Oversee the design, development, and operation of scalable and reliable data pipelines, data stores, and data models to ingest, process, and serve commercialization data.","Establish and enforce best practices for data quality, governance, security, and performance optimization within the data ecosystem.","Collaborate closely with Product Data Scientists, Engineering, and Operations teams to understand data needs, define requirements, and deliver robust data solutions.","Foster a culture of engineering excellence, innovation, and continuous improvement within the team.","You have:","BS/MS/PhD in Computer Science or a related field.","7+ years of experience in data engineering, software engineering, or a related role, with a focus on large-scale data systems.","Proven experience (2+ years) in managing and leading engineering teams, including hiring, coaching, and performance management.","Demonstrated technical leadership in designing, architecting, and delivering complex, large-scale data systems and pipelines, including setting technical direction, making key design trade-offs, and mentoring other engineers.","Strong understanding of data warehousing concepts, data modeling, and ETL/ELT processes.","Expertise in SQL and proficiency in at least one programming language such as Python, Java, or C++.","We prefer:","Experience building and scaling data lakes or large-scale data platforms.","Expertise with big data technologies and distributed systems (e.g., Spark, Flume, Kafka, BigQuery, etc.).","Knowledge of data governance, data quality frameworks, and data security best practices.","Experience working in a fast-paced, product-driven environment.","Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.","Domain knowledge in ride-hailing, mobility, or autonomous vehicles.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-05-21T16:19:11-04:00","valid_through":null},{"id":"waymo-7964147","url":"https://roboticjobs.ai/jobs/waymo-7964147","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7964147","title":"Staff Field Quality Engineer","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Lead & Staff","detected_skills":["Python"],"advertised_pay":"$210,000—$259,000","compensation":[{"min":210000,"max":259000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $210,000—$259,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and reports to the hardware field quality lead.","You will:","Champion field quality initiatives, collaborating with Engineering, Manufacturing, Supply Chain, Software, and Operations teams to enhance product quality and reliability throughout the product lifecycle.","Analyze fleet data to proactively identify emerging quality trends and systemic risks.","Lead cross-functional root cause analysis, containment, and resolution for complex field issues, ensuring corrective actions prevent recurrence.","Develop scalable field quality processes, tools, and automation to effectively identify, triage, and mitigate field failures.","Define quality coverage requirements and implement validation methods to ensure corrective actions are effective in the field.","Establish a structured feedback system where data and lessons learned continuously improve designs, diagnostics, and operational playbooks.","You have:","A Bachelor’s degree in an Engineering discipline.","8 years of experience in electro-mechanical product development.","Experience in a quality, reliability, or similar engineering role.","Experience in data analysis, reporting, and dashboard creation using tools such as Python, SQL, JMP, or Tableau.","Strong knowledge and practical application of core quality and reliability methodologies and tools (e.g., 8D DMAIC, Kepner-Tragoe, FMEA, MSA, SPC, DOE). non highlighted- other problem solving tools","Proven ability to lead cross-functional teams, coupled with excellent communication and problem-solving skills.","We prefer:","A Master’s degree or higher in an Engineering discipline.","Experience in the automotive, robotics, or similar complex systems industry.","Advanced experience with statistical modeling and large-scale data analysis tools (e.g., Tableau, JMP, PLX).","Deep understanding of hardware/software interactions, embedded systems, and diagnostics.","Familiarity with advanced reliability analysis techniques (e.g., Weibull analysis, Nevada charting).","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$210,000—$259,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-12T14:34:12-04:00","date_posted":"2026-05-28T16:24:51-04:00","valid_through":null},{"id":"waymo-7974252","url":"https://roboticjobs.ai/jobs/waymo-7974252","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7974252","title":"Senior Systems Engineer, Vehicle Security","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Senior","detected_skills":[],"advertised_pay":"$198,000—$248,000","compensation":[{"min":198000,"max":248000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $198,000—$248,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and you will report to a Systems Engineering Manager","You will:","Develop and own comprehensive vehicle system security requirements aligned with the high-level vehicle platform security strategy","Work with OEMs and adjacent Systems Engineers to define and implement the vehicle network and module security architecture","Define and manage requirements for vehicle platform features that are based on security concepts, such as Digital Key and SOTA","Create detailed security requirements for Waymo software interfaces to ensure secure communication with the vehicle platform","Develop Verification and Validation (V&V) plans, execute tests, analyze results, and resolve defects related to platform security across various platforms and prototype phases","Oversee the delivery timing of feature sets and software updates to the vehicle prototype fleet, and troubleshoot issues to ensure required capabilities","You have:","Bachelor's degree in Computer Science, Cybersecurity, Electrical Engineering, Communications Engineering, or similar","A thorough understanding of vehicle communications and module security technology (Autosar SecOC, Security relevant services in ISO14229-1 UDS, HSMs, etc)","A deep knowledge of vehicle communication networks and protocols (Physical and Application layer, e.g. CAN, FlexRay, LIN, Ethernet, DBCs, etc) and an understanding of the embedded systems that control via these networks","The ability to create & negotiate targets and requirements with OEMs and Waymo adjacencies and create and execute effective DVPs as part of the role","We prefer:","Hands-on experience implementing and testing automotive security mechanisms","Full lifecycle experience launching an automotive security critical system from definition to market","At least 5 years experience in an automotive security (or similar industry) role delivering software and/or hardware","Experience with CCC Digital Key implementation","Travel requirements:","6-8 times / year - international, typically 1 week at a time","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$198,000—$248,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-01T13:36:38-04:00","valid_through":null},{"id":"waymo-7975025","url":"https://roboticjobs.ai/jobs/waymo-7975025","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7975025","title":"Staff Research Scientist, Perception","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA ; San Francisco, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":[],"advertised_pay":"$251,000—$310,000","compensation":[{"min":251000,"max":310000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.","This role follows a hybrid work schedule and reports to a Principal Research Scientist.","You will:","Research & Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar.","Integrate emerging research from the broader AI community into Waymo’s Encoders and Sensor understanding models","Partner with engineering and research teams across Waymo to share recipes, techniques, and best practices to accelerate our collective know-how.","Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources.","Design and implement evaluation frameworks for perception models.","Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.","Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors.","Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications.","You have:","PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 4+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models.","Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.","Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches.","A willingness to work with complexity of globally distributed inference infrastructure.","We prefer:","PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning.","Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences.","A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects","Substantial involvement in and contributions to high impact industry AI projects.","Experience in generative models for domains such as world models, images, videos, 3D, using techniques such as diffusion or autoregressive models.","In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:","Health, dental, vision, life, disability insurance","Retirement Benefits: 401(k) with company match","Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment","Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)","Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks","Baby Bonding Leave: 18 weeks","Holidays: 13 paid days per year","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-02T15:43:38-04:00","valid_through":null},{"id":"waymo-7978589","url":"https://roboticjobs.ai/jobs/waymo-7978589","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7978589","title":"Senior Software Engineer, Simulator Orchestration","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, California, United States; San Francisco, California, United States","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Challenge","Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and advanced AI to create a realistic training ground for the Waymo Driver. As we expand autonomous driving into new geographies, complex weather conditions, and next-generation capabilities, our goal is to build a highly adaptable, generic simulator that works across any environment.","The Simulator Orchestration team is at the heart of tackling this scaling challenge. Our mission is to deliver simulation solutions that power evaluation and training across a diverse range of challenging requirements. We are looking for a Senior Software Engineer who is passionate about solving complex evaluation problems with simulation technology and thrives on delivering practical solutions within a vast technical ecosystem.","The Role","This is a hybrid role. As a core contributor to the Simulator Orchestration team, you will focus on solving practical simulation challenges by intelligently configuring and orchestrating simulator features.","You will:","Architect Simulation Solutions: Drive the simulator development of the environments required for new initiatives, such as complex weather setups, new geography expansions (e.g., left-hand traffic), and adapting the simulator to support next-generation onboard capabilities.","Design the Orchestration Layer: Design and implement systems that dynamically select and compose simulator features based on the specific environment and context, bringing us closer to a truly universal simulator.","Navigate Complex Systems: Dive deep into a massive C++ codebase of onboard and simulator code. You are willing to get your hands dirty. You will rely on strong code-reading and debugging skills to trace and resolve complex interactions between different systems, shipping robust, production-ready code.","Collaborate Across Boundaries: Act as the technical glue between teams. You'll partner closely with partners from Simulator, Eval and Onboard orgs, taking the building blocks they provide and turning them into complete, end-to-end simulation solutions.","What You Bring","We are looking for a strong generalist software engineer who leans heavily toward practical execution and is comfortable navigating large-scale, interconnected systems.","You have:","Engineering Craftsmanship:","5+ years of industry experience in software development.","Solid proficiency in C++ (preferred) or Python, with a strong ability to read, navigate, and debug large, existing codebases.","Experience building orchestration, dynamic configuration, or integration layers for large-scale software systems.","Practical Problem Solving:","A proven track record of delivering working solutions in highly complex, ambiguous technical domains.","A pragmatic approach to engineering. You are willing to find compromises and make the right trade-offs to achieve the broader goal, avoiding the trap of over-engineering or getting stuck in \"ideal land.\"","Collaboration & Communication:","Exceptional communication skills. You are comfortable navigating ambiguity, negotiating technical boundaries, and building successful partnerships with upstream and downstream teams.","We prefer:","Deep passion for solving complex evaluation problems with simulation technology to advance autonomous driving.","Track record in delivering goals via practical solutions.","Background in fields that rely heavily on complex systems integration, such as autonomous vehicles, robotics, simulation, or large backend infrastructure.","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-03T18:42:28-04:00","valid_through":null},{"id":"waymo-7981535","url":"https://roboticjobs.ai/jobs/waymo-7981535","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7981535","title":"Senior Systems Engineer,  Vehicle Body Control Systems","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Controls & Autonomy","experience":"Senior","detected_skills":[],"advertised_pay":"$196,000—$242,000","compensation":[{"min":196000,"max":242000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000—$242,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.","This role follows a hybrid work schedule and you will report to a Systems Engineering Manager.","You will:","Define OEM Requirements & Architecture: Collaborate with internal product teams and external OEM partners to author requirements for vehicle Body Control systems, network architectures, and functional safety interfaces","Develop Embedded Software/Hardware Specifications: Write detailed requirements for internal embedded software and hardware adjacencies to implement Body Control functions (e.g., doors, locks, windows, HVAC, lighting, and SDS interfaces)","Lead Core Feature Development: Drive the development, power mode management, and digital key architecture from initial target-setting through to verification and validation against program milestones","Execute Verification & Validation (V&V): Create V&V plans, execute tests, analyze data, and troubleshoot field/prototype defects across various platform phases, leveraging operations teams for resolution","Bridge Engineering & Implementation: Work closely with embedded software teams during implementation, authoring and updating architecture design documents to ensure all requirements are met","Manage Fleet Delivery & Integration: Track and manage the delivery timing of feature sets and software updates to the vehicle prototype fleet, resolving troubleshooting issues to meet capability targets","You have:","Bachelor's degree in Electrical Engineering, Robotics Engineering, Mechatronics Engineering, or similar","At least 3 years experience in an automotive (or similar industry) Body Controls and software role delivering hardware and/or software","Working knowledge of vehicle communication network systems (CAN, FlexRay, LIN, Ethernet, etc.)","Experience with body control systems such as doors, interior/exterior lighting, windows, seats, switchgear, etc","Experience mapping out architectures and drafting requirements for complex vehicle systems","Rigorous mindset and an attention to detail, to ensure gaps and flow-downs are fully covered","We prefer:","Deep experience with Body Control systems, related software, and vehicle hardware","Experience creating & negotiating requirements with automotive partners and OEMs","Create and execute effective test / design validation plans","A strong root-cause analysis mindset to problem solving","A hands-on attitude to testing & verification","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$196,000—$242,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-08T14:52:48-04:00","valid_through":null},{"id":"waymo-7991303","url":"https://roboticjobs.ai/jobs/waymo-7991303","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7991303","title":"Senior Software Engineer, ML/Eval Data Platforms & Infrastructure","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA","work_mode":"See listing","discipline":"Software & Simulation","experience":"Senior","detected_skills":["C++","Python"],"advertised_pay":"$213,000—$263,000","compensation":[{"min":213000,"max":263000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!","This role follows a hybrid work schedule and reports to an Engineering Manager.","You will:","Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software.","Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions.","Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete.","Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables.","Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions.","You have:","Education: Master’s degree or PhD in Computer Science, Engineering, or a related technical field.","Experience: 3+ years of professional software engineering experience.","Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale.","Programming Languages: Proficiency in C++ or Python within a production environment.","Communication: Strong technical communication and collaboration skills.","We prefer:","Experience with A/B experiment infrastructure.","Exposure to ad-hoc data analysis utilizing SQL.","Prior experience working within the autonomous vehicle (AV) industry.","#Hybrid","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$213,000—$263,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-09T13:21:44-04:00","valid_through":null},{"id":"waymo-7991417","url":"https://roboticjobs.ai/jobs/waymo-7991417","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=7991417","title":"ASIC Design Verification Engineer ","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA","work_mode":"See listing","discipline":"Systems & Integration","experience":"Other levels","detected_skills":["C++","Python"],"advertised_pay":"$175,000—$215,000","compensation":[{"min":175000,"max":215000,"currency":"USD","period":"UNSPECIFIED","context":"ion, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD"}],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.","This role follows a hybrid work schedule and you will report to a Silicon Engineering Lead","You will:","Partner with design and architecture teams to translate hardware specifications into comprehensive, scalable verification plans","Drive the development of testbenches, reference models, and stimulus to validate mission-critical functionality and performance","Architect and enhance verification environments, contributing to shared tools and reusable methodologies across the organization","Evaluate, integrate, and verify third-party Verification IP (VIP) to accelerate the development cycle","Define and analyze coverage metrics (functional and code) to ensure design readiness and closure","Advocate and establish verification best-practices","You have:","3+ years of experience building and maintaining complex testbenches using UVM/SystemVerilog","Proven track record with constrained-random generation, functional coverage, and SVA (SystemVerilog Assertions)","Deep understanding of complex digital logic and the ability to debug intricate hardware/software interactions","Proficiency in Python for developing scalable automation frameworks, data analysis tools, and regression management suites","Excellent verbal and written communication skills, ability to collaborate with cross-functional teams","Strong analytical skills in root-causing failures across RTL, testbench, and environment layers","We prefer:","Experience spanning initial specification through post-silicon bring-up and validation","Familiarity with power-aware verification (UPF), formal verification, or hardware-software co-validation","Domain expertise in ML accelerators, high-speed interconnects (NoCs), or high-bandwidth memory","Experience with C/C++ for reference model development and enhancement","Hands-on experience with industry-standard interfaces such as PCIe Gen 5/6, DDR5, or Ethernet","Interest or experience in leveraging Generative AI and LLMs to accelerate verification workflows, such as automated testbench generation, documentation, or failure log analysis","The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.","Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.","Salary Range","$175,000—$215,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:41-04:00","date_posted":"2026-06-10T14:56:31-04:00","valid_through":null},{"id":"waymo-8001059","url":"https://roboticjobs.ai/jobs/waymo-8001059","employer_url":"https://careers.withwaymo.com/jobs?gh_jid=8001059","title":"Staff Machine Learning Engineer, Maneuvering Tech","employer":{"id":"waymo","name":"Waymo"},"location":"Mountain View, CA, USA; San Francisco, CA, USA; Pittsburgh, PA, USA","work_mode":"See listing","discipline":"Perception & AI","experience":"Lead & Staff","detected_skills":["C++","Python","PyTorch"],"advertised_pay":"$251,000—$310,000","compensation":[],"description_paragraphs":["Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.","Driver Refinement and Validation’s (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.","You will:","Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business","Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning","Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production","Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors","You have:","MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience","8+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments","Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities","Expertise with modern deep learning frameworks, such as JAX or PyTorch","We prefer:","Experience in deep learning, reinforcement learning, and ML systems","Domain expertise in solving prediction, behaviors, motion planning, or related robotics problems","ML post-training experience","Prior industry experience (e.g. internships) in applied ML or software development","Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)","The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.","Hourly PhD Pay","$251,000—$310,000 USD"],"source":"Greenhouse","verified_at":"2026-10-17T10:04:19.148Z","updated_at":"2026-10-02T17:53:39-04:00","date_posted":"2026-06-11T12:37:09-04:00","valid_through":null}]}