{"has_next":true,"jobs":[{"id":"14a818b5-1068-4d53-8e01-2106c013d919","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Software Engineer, Operational/ Process Efficiency ","slug":"software-engineer-operational-process-efficiency-0675432b","description":"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.\n This role is at the intersection of robotics and machine learning, driving the next generation of operational efficiency for Waymo's rapidly expanding autonomous fleet. You will lead efforts to generalize complex depot operations—such as exterior cleaning, sensor calibration, and maintenance checks—using advanced robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to translate real-world needs into robust, working solutions.\n This role follows a hybrid work schedule and reports to a Director, Hardware and Sensors. \n You will: \n \n Drive the automation of the hardware lifecycle for critical sensors (lidar, radar, cameras) and compute modules.\n Develop and deploy agentic systems and foundation models to streamline workflows between internal teams and contract manufacturers.\n Identify opportunities to apply AI to manufacturing, installation, and troubleshooting processes to increase operational velocity.\n Interface with a diverse set of stakeholders, including hardware design engineers, failure analysis engineers, and diagnostic teams, to translate physical requirements into technical specifications.\n Bridge the gap between experimental ML models and high-scale production environments.\n \n You have: \n \n A Masters or PhD in Machine Learning, Computer Science, or a related technical field.\n A proven track record of delivering working engineering solutions, balancing scientific rigor with production needs.\n Experience in training, evaluating, and deploying machine learning models at scale.\n Strong communication skills and the ability to collaborate across multidisciplinary teams (from field technicians to hardware designers).\n \n We prefer: \n \n Hands-on experience or deep familiarity with agentic tools and frameworks.\n Experience working with large-scale foundation models (LLMs, VLMs) and fine-tuning them for specialized domains.\n Background in automating industrial or hardware-centric workflows.\n Familiarity with hardware diagnostics, failure analysis, or manufacturing processes.\n \n  \n 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.  \n 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.  \n Salary Range\n $175,000 — $215,000 USD","salary_min":175000,"salary_max":215000,"location":"Mountain View, CA","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["agents","generative-ai","robotics","autonomous-vehicles","llm","reinforcement-learning","fine-tuning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=7926526","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T20:26:39Z","expires_at":"2026-06-29T14:04:30.317025Z","created_at":"2026-05-30T14:04:30.42607Z","updated_at":"2026-05-30T14:04:30.42607Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/14a818b5-1068-4d53-8e01-2106c013d919"},{"id":"5a89030f-a628-4b8e-ac53-eb3aae31f75e","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Engineering Manager, App SW - Embedded ","slug":"engineering-manager-app-sw-embedded-08cbdb31","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n   The Role  \n We’re seeking an exceptional technical leader to build and lead our US Application Engineering team, a high-impact group driving localisation and advancement of Wayve’s autonomous driving technology for the US market. This is a unique opportunity to shape our AV capabilities in the US from the ground up.\n As one of the key managers, you’ll lead the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. \n Key Responsibilities: \n \n Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n Build and lead an engineering team in the US, hiring and mentoring top talent.\n Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n Validate integration of drivers, middleware, and boot-time configurations.\n Collaborate with Verification \u0026 Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n Partner with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n Enable system-level diagnostics, logging, and secure boot configuration.\n Automate setup, flashing, health checks, and test execution on target hardware.\n \n About You  \n In order to set you up for success at Wayve, we’re looking for the following skills and experience.  \n Essential \n \n 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n Strong proficiency in C/C++, Bash, and Python.\n Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks. \n \n Desired  \n \n Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n \n  \n This role is a full-time role based in Detroit or Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $252,500 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspe","salary_min":252500,"salary_max":298200,"location":"Detroit","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["generative-ai","security","autonomous-vehicles","embedded"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8568363002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T16:15:00Z","expires_at":"2026-06-29T14:12:44.031333Z","created_at":"2026-05-30T14:12:44.149277Z","updated_at":"2026-05-30T14:12:44.149277Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5a89030f-a628-4b8e-ac53-eb3aae31f75e"},{"id":"781f9019-5cb8-421c-9149-bdac5aa8f1a9","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Engineering Manager, App SW - Embedded ","slug":"engineering-manager-app-sw-embedded-dabd3f4b","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n   The Role  \n We’re seeking an exceptional technical leader to build and lead our US Application Engineering team, a high-impact group driving localisation and advancement of Wayve’s autonomous driving technology for the US market. This is a unique opportunity to shape our AV capabilities in the US from the ground up.\n As one of the key managers, you’ll lead the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. \n Key Responsibilities: \n \n Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n Build and lead an engineering team in the US, hiring and mentoring top talent.\n Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n Validate integration of drivers, middleware, and boot-time configurations.\n Collaborate with Verification \u0026 Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n Partner with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n Enable system-level diagnostics, logging, and secure boot configuration.\n Automate setup, flashing, health checks, and test execution on target hardware.\n \n About You  \n In order to set you up for success at Wayve, we’re looking for the following skills and experience.  \n Essential \n \n 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n Strong proficiency in C/C++, Bash, and Python.\n Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks. \n \n Desired  \n \n Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n \n  \n This role is a full-time role based in Detroit or Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $252,500 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspe","salary_min":252500,"salary_max":298200,"location":"Detroit","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","generative-ai","security","embedded"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8571217002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T16:15:00Z","expires_at":"2026-06-29T14:12:43.944952Z","created_at":"2026-05-30T14:12:44.061673Z","updated_at":"2026-05-30T14:12:44.061673Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/781f9019-5cb8-421c-9149-bdac5aa8f1a9"},{"id":"78754b10-1caa-42cb-a933-ccfae8797f70","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Machine Learning Engineering Manager, App SW","slug":"machine-learning-engineering-manager-app-sw-5e031225","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n   The Role  \n We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.\n As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.\n We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.\n This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.\n  \n Key Responsibilities: \n \n Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.\n Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.\n Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.\n Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.\n Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.\n Establish close working relationships with our product and vehicle operations teams in the US.\n \n About you  \n To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.\n Essential \n \n A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.\n Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.\n Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.\n Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.\n Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations. \n \n Desirable \n \n Prior experience in autonomous vehicles or robotic systems operating at scale.\n Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.\n A strong foundation in machine learning and its application to real-time decision-making or perception systems.\n \n  \n This role is a full-time role based in Sunnyvale, CA  or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creatin","salary_min":336400,"salary_max":381600,"location":"Sunnyvale, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["generative-ai","autonomous-vehicles","robotics","machine-learning"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8571171002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T16:04:34Z","expires_at":"2026-06-29T14:12:44.929157Z","created_at":"2026-05-30T14:12:45.041753Z","updated_at":"2026-05-30T14:12:45.041753Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/78754b10-1caa-42cb-a933-ccfae8797f70"},{"id":"e0e00a39-c16a-434f-bfa5-59174ea0c816","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Machine Learning Engineering Manager, App SW","slug":"machine-learning-engineering-manager-app-sw-101e63ec","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n   The Role  \n We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.\n As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.\n We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.\n This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.\n  \n Key Responsibilities: \n \n Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.\n Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.\n Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.\n Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.\n Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.\n Establish close working relationships with our product and vehicle operations teams in the US.\n \n About you  \n To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.\n Essential \n \n A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.\n Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.\n Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.\n Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.\n Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations. \n \n Desirable \n \n Prior experience in autonomous vehicles or robotic systems operating at scale.\n Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.\n A strong foundation in machine learning and its application to real-time decision-making or perception systems.\n \n  \n This role is a full-time role based in Sunnyvale, CA  or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creatin","salary_min":336400,"salary_max":381600,"location":"Detroit","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["robotics","generative-ai","autonomous-vehicles","machine-learning"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8568364002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T16:04:33Z","expires_at":"2026-06-29T14:12:45.00829Z","created_at":"2026-05-30T14:12:45.119737Z","updated_at":"2026-05-30T14:12:45.119737Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e0e00a39-c16a-434f-bfa5-59174ea0c816"},{"id":"f31b0853-bd93-4641-84d1-bd9c12ae40a7","company_id":"9bad7e3a-74e6-4dae-87c5-f3e9f0e72bd0","title":"Software Engineer, ML Performance Optimization","slug":"software-engineer-ml-performance-optimization-f0fa3daa","description":"Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. \n \nThe Opportunity\nAre you excited to lead our ML Performance Optimization initiatives and make our Training and Inference platform that enables autonomous driving as fast and efficient as possible? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.\n \nWe build and operate the base layer of ML tools, deep learning frameworks, and inference systems used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and act as a force multiplier for our internal customers. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here.\n","salary_min":192000,"salary_max":257000,"location":"Foster City, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","deep-learning","machine-learning","infrastructure"],"apply_url":"https://jobs.lever.co/zoox/bc11276c-8db7-426e-9d00-d41c2097723a/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T22:34:49.506Z","expires_at":"2026-06-29T14:05:50.532577Z","created_at":"2026-05-29T14:17:35.896107Z","updated_at":"2026-05-30T14:05:50.639807Z","company_name":"Zoox","company_slug":"zoox","company_logo_url":"https://www.google.com/s2/favicons?domain=zoox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f31b0853-bd93-4641-84d1-bd9c12ae40a7"},{"id":"a944334e-23f0-4033-b1c8-307c9e7c7124","company_id":"75dcf7c0-5121-45f1-8d1b-6bfbfe15072f","title":"Helix AI Engineer, Backend Infrastructure ","slug":"helix-ai-engineer-backend-infrastructure-13269072","description":"Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.\n We're looking for a senior-level backend engineer who has scaled high-throughput, low-latency data systems and has strong instincts around cloud infrastructure and real-time streaming pipelines. You'll architect and build the core backend systems that power Figure's real-time data infrastructure — enabling the scale and reliability that our AI and robotics platforms depend on.\n This is a high-ownership role at the intersection of media and sensor data streaming, cloud systems, and applied ML serving. You'll work closely with our AI and robotics teams to ensure latency, reliability, and throughput meet the demands of real-world robot operation.\n WHAT YOU'LL DO \n \n Architect and scale cloud backend infrastructure for high-concurrency, real-time streaming of media and sensor data across robot fleets and user sessions.\n Design and build low-latency data pipelines that ingest, route, and process high-bandwidth streams — including camera feeds, IMU data, and other robot sensor outputs — into our AI stack in real time.\n Own reliability, latency, and throughput SLAs for streaming and data infrastructure.\n Collaborate with AI and robotics teams to integrate ML model serving into real-time data pipelines.\n Build observability, alerting, and tooling to give the team full situational awareness over live robot traffic.\n Drive architectural decisions and mentor engineers across the team.\n \n WHAT WE'RE LOOKING FOR \n \n Deep experience scaling cloud backend systems handling high-concurrency, real-time data streams — media, sensor, telemetry, or equivalent high-bandwidth pipelines.\n Strong fundamentals in distributed systems: stream processing, connection management, data transport, and low-latency architecture.\n Proficiency in one or more backend languages (Go, C++, Python, Rust) and cloud platforms (AWS, GCP, or Azure).\n Experience with containerized infrastructure, service mesh, and large-scale deployment pipelines.\n Strong communication and cross-functional collaboration skills.\n \n NICE TO HAVE \n \n Hands-on experience integrating AI inference serving (Triton Inference Server, TensorRT, SageMaker, or similar) into real-time data pipelines.\n Background in robotics, autonomous vehicles, live media platforms, or other latency-critical streaming domains.\n Familiarity with protocols such as WebRTC, RTSP, gRPC, or Kafka for real-time data transport.\n Experience with on-device or edge inference and the tradeoffs of cloud vs. edge processing.\n \n The US base salary range for this full-time position is between $150,000 - $400,000 annually.\n The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.","salary_min":150000,"salary_max":400000,"location":"San Jose, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["robotics","mlops","api-design","autonomous-vehicles","cloud","gpu","data-pipeline","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/figureai/jobs/4685172006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T21:42:25Z","expires_at":"2026-06-29T14:05:53.514412Z","created_at":"2026-05-29T14:18:08.491663Z","updated_at":"2026-05-30T14:05:53.629497Z","company_name":"Figure AI","company_slug":"figure-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=figure.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a944334e-23f0-4033-b1c8-307c9e7c7124"},{"id":"88b5244c-2383-4f06-b5ef-0ade11296098","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Technical Lead Manager, Prediction \u0026 Planning, Machine Learning Eval","slug":"staff-technical-lead-manager-prediction-planning-ml-eval-29b43259","description":"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.\n 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. \n We have an exciting opportunity for a Staff Technical Lead Manager to lead our ML Evaluation team. In this role, you will define the strategic vision for our evaluation platforms, scaling the critical infrastructure and metrics required, and partner closely with the modeling teams to rigorously validate our next-generation deep neural networks and accelerate ML developer velocity across PrePlan.\n You will: \n \n Influence the strategic direction of foundational infrastructure and evaluation platforms to robustly support next-generation ML model evaluation use cases\n Collaborate cross-functionally with ML engineers, data scientists, and infrastructure teams to identify, define, and surface critical signals on model, component, and system-level performance\n Leverage and scale evaluation and infrastructure platforms to significantly enhance the ML developer experience, enabling faster iteration through earlier, more reliable, and trusted model evaluation\n Manage and mentor a focused team of engineers, aligning their career growth and aspirations with critical organizational needs\n Drive best practices and leverage deep technical awareness of the Alphabet ML stack (e.g., TensorFlow, JAX, Flax, Apache Beam) to optimize evaluation workflows\n Stay at the forefront of emerging technologies, industry trends, and research in ML evaluation methodologies and advanced metrics design\n \n You have:  \n \n M.S. in Computer Science, Mathematics, or equivalent industry experience in Robotics or large-scale ML systems with critical evaluation needs\n 5+ years of experience building and maintaining large-scale distributed infrastructure, ML inference systems, or evaluation platforms, including 3+ years of engineering management experience\n Strong coding and testing proficiency, specifically in Python and C++\n Strong foundational knowledge of model evaluation and core data science principles (e.g., confidence intervals, outlier identification, curve fitting, and causality analysis)\n Familiarity with large-scale ML deployment and orchestration tools (e.g., TF Serving, TorchServe, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines)\n Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow\n \n We prefer: \n \n Experience developing and maintaining evaluation pipelines for ML models\n Experience deploying and supporting machine learning models for computer vision, natural language processing, robotics/motion planning, or recommendation systems\n Experience supporting a small team of MLEs developing high-capacity, production-grade models and components\n Strong understanding of metrics computation and regression detection at scale\n 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.  \n 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.  \n Salary Range\n $251,000 — $310,000 USD","salary_min":251000,"salary_max":310000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["robotics","nlp","computer-vision","pytorch","autonomous-vehicles","deep-learning","tensorflow","evaluation"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=7963516","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T17:26:50Z","expires_at":"2026-06-29T14:04:32.30248Z","created_at":"2026-05-29T14:12:24.077985Z","updated_at":"2026-05-30T14:04:32.417838Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/88b5244c-2383-4f06-b5ef-0ade11296098"},{"id":"6dc81f39-064c-435f-95c1-b6c70be6a1c5","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Machine Learning Engineer, App SW","slug":"machine-learning-engineer-app-sw-73eaf56f","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The Role  \n As an  ML Engineer  within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.\n You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.\n Responsibilities:\n \n Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.\n Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.\n Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.\n Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.\n Collaborate cross-functionally across various teams to ensure integration and iteration velocity.\n Mentor senior engineers and shape the long-term technical direction across Autonomy.\n \n About you:  \n In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  \n Essential\n \n Extensive and proven track record of shipping deep learning systems to production.\n Expert in deep learning (esp. sequential models, control, planning, or perception).\n Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.\n Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.\n Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.\n \n Desirable\n \n Prior work in autonomous driving, imitation learning, or trajectory prediction.\n Familiarity with personalization, human behavior modeling, or driver intent inference.\n Experience integrating ML systems into production hardware or multi-agent simulation.\n \n This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  \n #LI-KM1 \n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other ba","salary_min":283500,"salary_max":381600,"location":"Detroit","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","data-pipeline","robotics","pytorch","generative-ai","deep-learning","gpu","agents"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8568694002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T14:51:17Z","expires_at":"2026-06-29T14:12:44.75073Z","created_at":"2026-05-29T14:50:38.39389Z","updated_at":"2026-05-30T14:12:44.866872Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6dc81f39-064c-435f-95c1-b6c70be6a1c5"},{"id":"2f82717a-ca5c-44ec-afbc-871db9888784","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Director, Data Science","slug":"director-data-science-e0c2bfe0","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n May Mobility is entering an exciting phase of growth as we expand our autonomous transit and mobility services across the country. Founded in 2017 by a team of experienced roboticists, perception, behavior, AI, and software engineers, we operate driverless transit shuttles in real communities — not as a research demonstration, but as a daily-service product that people rely on to get to work, school, and home.\n The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make our autonomous service safer, more efficient, and ready to scale into new cities. You will own data science across simulation and synthetic data, perception and planning ML evaluation, fleet operations analytics, and the data infrastructure that supports them. You will partner directly with Engineering, Product, Operations, and Safety leadership to set measurement standards, define release criteria, and translate frontline operating data into the next generation of our autonomy stack.\n This is a leadership role for someone who has scaled a data science function inside a hard-tech environment, who is comfortable making engineering and product tradeoffs alongside their team, and who sees the gap between research-grade ML and production transit-grade ML as the most interesting problem in the industry today.\n Essential Responsibilities \n \n Set and own the data science strategy across simulation and synthetic data, ML evaluation (perception, prediction, planning), fleet operations analytics, and the data platform that supports them; translate that strategy into a 12–24 month roadmap with measurable milestones.\n Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility to win against AV, robotics, and AI competitors.\n Partner with Engineering, Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD-expansion gates; use data to make the business case for what we deploy, where, and when.\n Drive ML and analytics applications end-to-end: dataset curation, scenario coverage, modeling, offboard evaluation, productionization, and continuous monitoring of fleet performance in the wild.\n Establish measurement and experimentation standards across the company — including before/after analyses for stack changes, A/B-style comparisons in simulation, and statistically credible reporting on real-world incidents.\n Lead team-wide quality activities including design and code reviews; hold the bar on engineering rigor for production data science systems.\n Track and trend technical performance of the autonomy stack in the field; surface root causes, prioritize fixes with engineering, and represent fleet-data findings to executives, regulators, and partners.\n Provide technical guidance to Engineering and Operations leaders on issue diagnosis, resolution, and the ML changes most likely to move our key safety and service metrics.\n Represent May Mobility's data science work externally where appropriate — through publications, conference talks, partner reviews, and recruiting.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Autonomy Data Expertise. Can reason fluently about the data produced by a modern AV stack — sensor logs, perception outputs, planning traces, simulator results, and operational telemetry — and can identify which signals matter for which decisions.\n Hands-On Technical Depth. Has personally shipped production ML or analytics systems within the last 3–5 years and is credible in code review and design review with senior engineers and scientists.\n Cross-Functional Translator. Can explain a complex ML or statistical finding to engineering, product, and executive audiences; and ","salary_min":217000,"salary_max":312000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["robotics","healthcare","distributed-systems","pytorch","computer-vision","tensorflow","reinforcement-learning","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8561428002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T21:54:47Z","expires_at":"2026-06-29T14:17:06.3175Z","created_at":"2026-05-28T14:18:43.046233Z","updated_at":"2026-05-30T14:17:06.431533Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2f82717a-ca5c-44ec-afbc-871db9888784"},{"id":"fa191a7a-632b-472c-acb7-b7360a7925f8","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Director, Prediction and ML Planning","slug":"director-prediction-and-ml-planning-360f2a66","description":"About Motional: \n Motional is a public transit and autonomous vehicle pioneer, developing Level 4 driverless vehicles that are changing the way the world moves. At the heart of our mission is the Autonomy organization, where we solve some of the most complex engineering and artificial intelligence challenges of our generation. Mission Summary: \n Motional is seeking a visionary, technically deep Director of Behaviors to lead our machine learning-based Prediction and Planning teams. In this role, you will sit at the intersection of intent forecasting and ego-vehicle decision-making. You will be directly responsible for leading multiple engineering sub-teams, setting the technical roadmap for our next-generation behavior stack, and pioneering the shift toward state-of-the-art end-to-end models that execute joint prediction and planning.\n As a senior leader in the Autonomy organization, you will not only drive technical breakthroughs but will also scale and nurture a world-class AI organization in a sustainable, inclusive, and highly collaborative fashion. Core Responsibilities: \n \n Strategic Leadership: Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a clear, aggressive, yet sustainable technical roadmap that transitions our stack towards a unified (fully learnt) Large Driving Model performing joint prediction and planning.\n Technical Direction: Stay at the absolute frontier of AI research and define the technical roadmap for developing state-of-the-art imitation learning (IL) and reinforcement learning (RL) approaches to advance end-to-end learnt planning. Guide the team in exploring and incorporating modern paradigms like Vision-Language-Action models (VLAs) to improve the vehicle's semantic understanding, reasoning, and zero-shot generalization capabilities in complex urban environments. \n Organizational Growth: Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers. Implement sustainable engineering practices that prevent burnout, promote psychological safety, and ensure high technical velocity.\n Cross-Functional Collaboration: Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving Model seamlessly integrates onto the vehicle platform and meets rigorous safety and real-time performance standards. \n \n Required Qualifications \u0026 Experience: \n \n Proven Leadership: 5+ years of experience managing high-performing engineering teams, with at least 3+ years of experience managing multiple sub-teams within an autonomous systems, robotics, or advanced AI organization.\n Sustainable Scaling: Demonstrated track record of growing an engineering organization sustainably—balancing technical debt, architectural scalability, and team well-being.\n ML Behavior Expertise: Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong understanding of the full lifecycle from research to vehicle deployment.\n Unified Architectures: Proven experience guiding teams toward building integrated models (e.g., trajectory forecasting joint with ego-policy generation) rather than decoupled, sequential pipelines.\n Modern AI Paradigms: Strong familiarity with multimodal foundational AI models, specifically Vision-Language-Action models (VLAs) .\n Educational Background: M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a heavy focus on Machine Learning. \n \n Preferred Qualifications: \n \n Experience building and scaling up LLMs/VLMs/VLAs and successfully deploying to production.\n A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS publications), with a willingness to publish future work.\n Experience building large-scale data pipelines and training infrastructure required to train large driving models.\n \n \n  We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Rang","salary_min":288000,"salary_max":396000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","llm","reinforcement-learning","robotics","data-pipeline"],"apply_url":"https://motional.com/open-positions/?gh_jid=7749539003#/7749539003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T14:37:33Z","expires_at":"2026-06-29T14:05:57.689923Z","created_at":"2026-05-28T14:07:27.811425Z","updated_at":"2026-05-30T14:05:57.80649Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fa191a7a-632b-472c-acb7-b7360a7925f8"},{"id":"a81eda03-7e82-45be-919e-39f563f2c24d","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Director, Prediction and ML Planning","slug":"director-prediction-and-ml-planning-ec32b5bd","description":"About Motional: \n Motional is a public transit and autonomous vehicle pioneer, developing Level 4 driverless vehicles that are changing the way the world moves. At the heart of our mission is the Autonomy organization, where we solve some of the most complex engineering and artificial intelligence challenges of our generation. Mission Summary: \n Motional is seeking a visionary, technically deep Director of Behaviors to lead our machine learning-based Prediction and Planning teams. In this role, you will sit at the intersection of intent forecasting and ego-vehicle decision-making. You will be directly responsible for leading multiple engineering sub-teams, setting the technical roadmap for our next-generation behavior stack, and pioneering the shift toward state-of-the-art end-to-end models that execute joint prediction and planning.\n As a senior leader in the Autonomy organization, you will not only drive technical breakthroughs but will also scale and nurture a world-class AI organization in a sustainable, inclusive, and highly collaborative fashion. Core Responsibilities: \n \n Strategic Leadership: Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a clear, aggressive, yet sustainable technical roadmap that transitions our stack towards a unified (fully learnt) Large Driving Model performing joint prediction and planning.\n Technical Direction: Stay at the absolute frontier of AI research and define the technical roadmap for developing state-of-the-art imitation learning (IL) and reinforcement learning (RL) approaches to advance end-to-end learnt planning. Guide the team in exploring and incorporating modern paradigms like Vision-Language-Action models (VLAs) to improve the vehicle's semantic understanding, reasoning, and zero-shot generalization capabilities in complex urban environments. \n Organizational Growth: Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers. Implement sustainable engineering practices that prevent burnout, promote psychological safety, and ensure high technical velocity.\n Cross-Functional Collaboration: Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving Model seamlessly integrates onto the vehicle platform and meets rigorous safety and real-time performance standards. \n \n Required Qualifications \u0026 Experience: \n \n Proven Leadership: 5+ years of experience managing high-performing engineering teams, with at least 3+ years of experience managing multiple sub-teams within an autonomous systems, robotics, or advanced AI organization.\n Sustainable Scaling: Demonstrated track record of growing an engineering organization sustainably—balancing technical debt, architectural scalability, and team well-being.\n ML Behavior Expertise: Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong understanding of the full lifecycle from research to vehicle deployment.\n Unified Architectures: Proven experience guiding teams toward building integrated models (e.g., trajectory forecasting joint with ego-policy generation) rather than decoupled, sequential pipelines.\n Modern AI Paradigms: Strong familiarity with multimodal foundational AI models, specifically Vision-Language-Action models (VLAs) .\n Educational Background: M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a heavy focus on Machine Learning. \n \n Preferred Qualifications: \n \n Experience building and scaling up LLMs/VLMs/VLAs and successfully deploying to production.\n A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS publications), with a willingness to publish future work.\n Experience building large-scale data pipelines and training infrastructure required to train large driving models.\n \n \n  We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Rang","salary_min":288000,"salary_max":396000,"location":"Pittsburgh, PA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["reinforcement-learning","autonomous-vehicles","robotics","llm","data-pipeline"],"apply_url":"https://motional.com/open-positions/?gh_jid=7749537003#/7749537003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T14:37:33Z","expires_at":"2026-06-29T14:05:57.776906Z","created_at":"2026-05-28T14:07:27.895574Z","updated_at":"2026-05-30T14:05:57.889935Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a81eda03-7e82-45be-919e-39f563f2c24d"},{"id":"3fa85144-87ad-48b5-b151-9737480face6","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Director, Prediction and ML Planning","slug":"director-prediction-and-ml-planning-ecc5bb9c","description":"About Motional: \n Motional is a public transit and autonomous vehicle pioneer, developing Level 4 driverless vehicles that are changing the way the world moves. At the heart of our mission is the Autonomy organization, where we solve some of the most complex engineering and artificial intelligence challenges of our generation. Mission Summary: \n Motional is seeking a visionary, technically deep Director of Behaviors to lead our machine learning-based Prediction and Planning teams. In this role, you will sit at the intersection of intent forecasting and ego-vehicle decision-making. You will be directly responsible for leading multiple engineering sub-teams, setting the technical roadmap for our next-generation behavior stack, and pioneering the shift toward state-of-the-art end-to-end models that execute joint prediction and planning.\n As a senior leader in the Autonomy organization, you will not only drive technical breakthroughs but will also scale and nurture a world-class AI organization in a sustainable, inclusive, and highly collaborative fashion. Core Responsibilities: \n \n Strategic Leadership: Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a clear, aggressive, yet sustainable technical roadmap that transitions our stack towards a unified (fully learnt) Large Driving Model performing joint prediction and planning.\n Technical Direction: Stay at the absolute frontier of AI research and define the technical roadmap for developing state-of-the-art imitation learning (IL) and reinforcement learning (RL) approaches to advance end-to-end learnt planning. Guide the team in exploring and incorporating modern paradigms like Vision-Language-Action models (VLAs) to improve the vehicle's semantic understanding, reasoning, and zero-shot generalization capabilities in complex urban environments. \n Organizational Growth: Lead, mentor, and scale multiple sub-teams of machine learning engineers and researchers. Implement sustainable engineering practices that prevent burnout, promote psychological safety, and ensure high technical velocity.\n Cross-Functional Collaboration: Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving Model seamlessly integrates onto the vehicle platform and meets rigorous safety and real-time performance standards. \n \n Required Qualifications \u0026 Experience: \n \n Proven Leadership: 5+ years of experience managing high-performing engineering teams, with at least 3+ years of experience managing multiple sub-teams within an autonomous systems, robotics, or advanced AI organization.\n Sustainable Scaling: Demonstrated track record of growing an engineering organization sustainably—balancing technical debt, architectural scalability, and team well-being.\n ML Behavior Expertise: Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong understanding of the full lifecycle from research to vehicle deployment.\n Unified Architectures: Proven experience guiding teams toward building integrated models (e.g., trajectory forecasting joint with ego-policy generation) rather than decoupled, sequential pipelines.\n Modern AI Paradigms: Strong familiarity with multimodal foundational AI models, specifically Vision-Language-Action models (VLAs) .\n Educational Background: M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a heavy focus on Machine Learning. \n \n Preferred Qualifications: \n \n Experience building and scaling up LLMs/VLMs/VLAs and successfully deploying to production.\n A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS publications), with a willingness to publish future work.\n Experience building large-scale data pipelines and training infrastructure required to train large driving models. \n \n  We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range","salary_min":288000,"salary_max":396000,"location":"Boston, MA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","reinforcement-learning","llm","autonomous-vehicles","robotics"],"apply_url":"https://motional.com/open-positions/?gh_jid=7749522003#/7749522003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T14:37:32Z","expires_at":"2026-06-29T14:05:57.612382Z","created_at":"2026-05-28T14:07:27.983518Z","updated_at":"2026-05-30T14:05:57.722175Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3fa85144-87ad-48b5-b151-9737480face6"},{"id":"a148f68f-899f-448a-a1c1-dcb27af55e25","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Safety System Engineer","slug":"safety-system-engineer-c6b6d960","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n Your Responsibilities\n In collaboration with the other safety expert(s):\n \n Lead the functional safety activities for Wayve’s ADS, and its integration into present and future vehicle platforms, or the integration of third party safety-critical systems. This involves:\n \n Working with various internal and external teams to gain a deep understanding of the system under development to build the Item Definition work product for each platform.\n Conduct risk assessments (HARAs, FMEAs, FTAs) to identify the risks and build a safety concept to mitigate the risks to an acceptable level.\n Work with internal design teams to build a system architecture that meets the safety concept including decisions on decompositions, deriving relevant SW and external requirements.\n Support internal SW teams in implementing the safety requirements on target HW.\n Define test specifications at various levels of integration to verify and finally validate the safety concept.\n Define the Safety case by building a structured claims, arguments and evidence based paradigm.\n \n Contribute to developing the safety work products for production projects with similar activities as defined above.\n Work with the process and compliance teams to update the safety processes for certification activities.\n \n Your Skills\n Mandatory: \n \n Very good understanding of the functional safety development process as per ISO 26262 with a minimum 5 years of experience in applying the standard on different automotive systems; in particular parts 3, 4, 5, 6, 8 and 9.\n Experience in conducting vehicle level testing activities at proving grounds to verify and validate the safety concept.\n \n Desirable \n \n Expertise in ISO 26262-6; the candidate must have practical experience in developing or leading the development of ISO 26262 compliant production software and in the qualification of software tools.\n Experience in managing suppliers of safety related hardware or software elements (DIA design, supplier audit and assessment, project management)).\n Knowledge and experience in developing the safety case of an AD systems, in particular:\n \n Experience in developing the safety concept for a computer vision based system\n Sufficient knowledge of neural networks (architectures, algorithms, training and testing pipeline) to understand the challenges associated with the safety assurance of such systems and discuss options and rationales with our scientists\n \n Experience in SOTIF, especially in identifying SOTIF triggering conditions through analysis and defining testing and validation strategies to assess SOTIF performance.\n Operational safety experience, such as identifying the operational risks and designing training and operational procedures to ensure the safety of testing on public roads, is a plus.\n \n About yourself\n \n You are truly passionate about Safety and making the world a safer place your mission; this is reflected in the way you choose terms appropriate to your audience, present the essence of system safety and formulate the key takeaway messages.\n You are pragmatic, you understand the need to balance risk versus benefits, even more so in a startup environment.\n You are comfortable in debating with other stakeholders safety-related trade-offs, at any level of the development process and at any level of the organisation.\n You are self-starter, autonomous in thoughts but collective in action.\n You are able to think and work at various abstraction levels; thinking “blue sky” and paving the way for long term safety goals, or diving deep into technical details to provide clear guidance and solutions on the safety activities for the development of a subsystem (e.g. controller) or launching an application (robotaxi)\n You are confident in challenging others’ ideas and views, but equally, are open to constructive criticism and able to reconsider your opinions or beliefs.\n \n This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated sala","salary_min":209700,"salary_max":298200,"location":"Sunnyvale, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["computer-vision","deep-learning","autonomous-vehicles","generative-ai"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8564863002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-26T18:37:28Z","expires_at":"2026-06-29T14:12:46.822059Z","created_at":"2026-05-27T14:13:10.98323Z","updated_at":"2026-05-30T14:12:46.935289Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a148f68f-899f-448a-a1c1-dcb27af55e25"},{"id":"1e411b32-416c-4234-bcb3-3604b204f141","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Staff Machine Learning Engineer, AV Core","slug":"staff-machine-learning-engineer-av-core-1f2ae697","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role  \n As a Staff Machine Learning Engineer on Wayve’s Core Model Safety team in AV Core, you will help shape what our end-to-end driving model must understand to be safe and reliable in the real world - and turn that into trained capabilities, clear evidence, and adoption on the shared backbone across core and product engineering.\n  \n The Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, scene understanding, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering.\n  \n Key responsibilities \n \n Drive Core Model Safety roadmap themes owning the full lifecycle from research to offline/online experiments to technology transfer.\n Train and deploy end-to-end AV 2.0 models on our global fleet, using large-scale, diverse data to validate capabilities and improve generalisation across vehicles, markets, and driving conditions.\n Build high-value open-loop and closed-loop evaluations for core capabilities and representation learning.\n Align priorities and learn from the organisation - with AV Core, Evaluation, and Product Engineering on roadmaps and failure modes; from fleet, simulation, and product feedback; and through mentoring others on the team.\n Maintain awareness of the wider business context - division and company priorities, near-term product programmes, and how Core Model Safety work enables them.\n \n About you   \n In order to set you up for success as a Staff Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  \n  \n Essential  \n \n 5+ years in ML engineering, including pathfinding in ambiguous problems - from scoping and evals to establishing a direction (and knowledge transfer) for others to build on.\n Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.\n Hands-on experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.\n Hands-on experience training shared representations with multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.\n Staff-level technical leadership: research-literate and pragmatic, setting direction, raising the bar, and leading cross-functional work without formal line management.\n \n  \n Desirable  \n \n Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.\n Experience in 3D scene understanding and representation learning for geometric and semantic perception, large-scale semantic enrichments.\n Experience in reward modelling, behaviour modelling, model introspection, and/or interpretability.\n Experience with redundant or fallback architectures, safety-critical systems.\n Experience across foundations/pretraining and applied engineering teams; large-scale training infrastructure and/or agentic workflows.\n \n This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $336,400 to $370,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. \n We understand that everyone has a unique set of skills and experiences and that no","salary_min":336400,"salary_max":370300,"location":"Sunnyvale, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["generative-ai","autonomous-vehicles","agents","robotics","pytorch","reinforcement-learning","gpu","pre-training"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8562545002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-22T19:02:03Z","expires_at":"2026-06-29T14:12:48.484991Z","created_at":"2026-05-27T14:13:12.451192Z","updated_at":"2026-05-30T14:12:48.600908Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1e411b32-416c-4234-bcb3-3604b204f141"},{"id":"57deeb99-5d4e-411c-a747-1d1980d0eb3f","company_id":"ff51c80a-dce9-4cb4-b2e6-9c060d25ef55","title":"Engineer Manager - ML Data and Evaluation, Self-Driving Systems","slug":"engineer-manager-ml-data-and-evaluation-self-driving-systems-1eb9ef0b","description":"About Applied Intuition\n Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .\n We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. \n About the role\n Applied Intuition builds autonomy software deployed on real vehicles across multiple continents - passenger cars, trucks, mining vehicles, and defense platforms. The business is profitable, growing fast, and deeply embedded with OEMs globally.\n We are looking for an Engineering Manager to own the data and evaluation layer that powers our E2E autonomy models. This role covers what the industry typically staffs as separate orgs: data enrichment and autolabeling, dataset curation and corpus management, evaluation and metrics infrastructure, and the closed-loop systems that connect on-road performance back to training. Here it's one org under one leader, serving ADAS, L4 trucking, mining, and off-road from a common pipeline.\n Model iteration speed is gated by how fast you close the loop. This team owns the pace. You will be hands-on in the technical decisions and close enough to the models to know when something is off.\n At Applied Intuition, you will:\n \n Own data enrichment: the ML pipelines that produce semantic labels, object annotations, behavior tags, and derived features at petabyte scale across cameras, lidar, and radar. Ensure enrichment quality keeps pace with model requirements as they evolve.\n Build the curation and corpus management systems: distribution analysis, targeted mining for long-tail scenarios, embedding-based data selection, scenario diversity and geographic balance enforcement.\n Own evaluation from offboard metrics to on-road driving quality. Define the metrics, benchmarks, and regression tests that determine whether a model ships. Close the sim-to-real gap. Build \"eval of eval\" tooling to measure and improve the evaluation system itself.\n Recruit, develop, and technically lead the team. Build a culture of rigor on a safety-critical system.\n \n We’re looking for someone who has:\n \n 5+ years building ML or data systems for robotics or production software systems.\n 2+ years managing or technically leading engineering teams.\n Experience with large-scale data pipelines: ingestion, curation, and processing of large-scale multi-modal sensor data.\n Experience reasoning about dataset composition, distribution balance, and corpus-level quality - making data decisions that measurably improved model performance.\n Strong software engineering in Python; comfort with C++ and distributed systems.\n \n Nice to have:\n \n Shipped perception, prediction, or planning models to production vehicles.\n Experience with state-of-the-art simulation for ML eval (e.g. neural rendering and simulation).\n Labeling and auto-labeling pipelines: automated pre-labeling, quality verification, human-in-the-loop workflows.\n RL and reward engineering for autonomous driving or robotics.\n \n Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials \u0026 certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.\n Please reference the job postin","salary_min":255700,"salary_max":346000,"location":"Sunnyvale, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","autonomous-vehicles","data-pipeline","cloud","computer-graphics","robotics","evaluation"],"apply_url":"https://boards.greenhouse.io/appliedintuition/jobs/4695889005?gh_jid=4695889005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T20:19:23Z","expires_at":"2026-06-29T14:03:32.847801Z","created_at":"2026-05-27T14:03:44.255945Z","updated_at":"2026-05-30T14:03:32.961901Z","company_name":"Applied Intuition","company_slug":"applied-intuition","company_logo_url":"https://www.google.com/s2/favicons?domain=appliedintuition.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/57deeb99-5d4e-411c-a747-1d1980d0eb3f"},{"id":"42f8830a-ebfa-421c-a5b0-188eb93d4cd8","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Applied Research Scientist, Multi-Modal Perception (PhD New Grad)","slug":"applied-research-scientist-multi-modal-perception-phd-new-grad-74815077","description":"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.\n 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.\n In this hybrid role you will report to a Technical Lead Manager.\n You will: \n \n Own tasks in the ML Driver, take responsibility for task scaling and task performance, create ML methods and recipes to scale and improve tasks.\n Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.\n Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.\n Develop and maintain metrics for ADV relevant issues, including safety-critical and longtail issues.\n \n You have: \n \n Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience\n 3+ years experience in Machine Learning and Computer Vision\n Experience with Python\n Experience with ML frameworks like PyTorch or JAX\n \n We prefer: \n \n MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline\n Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI\n Experience with C++\n 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.  \n 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.  \n Salary Range\n $175,000 — $215,000 USD","salary_min":175000,"salary_max":215000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["computer-vision","autonomous-vehicles","pytorch","deep-learning","robotics","research"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=7948348","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T23:48:38Z","expires_at":"2026-06-29T14:04:23.835364Z","created_at":"2026-05-27T14:04:33.548406Z","updated_at":"2026-05-30T14:04:23.954594Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/42f8830a-ebfa-421c-a5b0-188eb93d4cd8"},{"id":"ca361999-a257-4f45-8f2b-cb4adf47d43f","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - Auto Tagger","slug":"senior-ml-engineer-auto-tagger-1b6f7b83","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight. J oin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    \n Meet The Team:   \n The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.   \n What You'll Do:   \n \n Scenario Mining at Scale:  Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events. \n Advanced Event Tagging:  Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios. \n Standardized Data Structuring:  Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity. \n Data Flywheel Integration:  Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation. \n Cross-Functional Alignment:  Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an \"interesting scenario\" and operationalize a continuous data loop. \n Mentorship \u0026 Team Growth:  Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.   \n \n What You'll Need to Succeed:   \n \n BS or MS  in Computer Science, Robotics, Engineering, or a STEM field, with  6+ years  in data engineering, ML systems, or autonomous data curation. \n Core Languages:  Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets. \n ML \u0026 Dataset Curation:  Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance. \n Data Exploration:  Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable. \n Cloud \u0026 Compute:  Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads. \n AV Standards:  Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. \n Communication:  Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders. \n Technical Leadership:  Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.   \n \n Bonus Points!   \n \n Auto-labeling \u0026 VLMs:  Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction. \n Model Serving:  Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference \n Semantic Inference:  Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection. \n Data Tooling:  Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow). \n Downstream Integration:  Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation. \n Advanced Retrieval:  Experience building semantic retrieval systems or vector databases for automotive data.   \n \n Perks of Being a Torc’r    \n Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and fu","salary_min":177300,"salary_max":212800,"location":"Ann Arbor, MI","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","llm","computer-vision","fine-tuning","payments","robotics","data-pipeline","embeddings"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8554970002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T20:52:45Z","expires_at":"2026-06-29T14:05:36.538187Z","created_at":"2026-05-27T14:05:54.67339Z","updated_at":"2026-05-30T14:05:36.653189Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ca361999-a257-4f45-8f2b-cb4adf47d43f"},{"id":"9d392abd-0c8d-4aaf-8428-3f3281d435af","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Research Scientist, Wayve Labs","slug":"research-scientist-wayve-labs-158c2944","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The Role \n We’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.\n Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:\n World \u0026 Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.\n Representation Learning \u0026 Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.\n Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.\n Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.  \n Key Responsibilities \n \n Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation\n Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data\n Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.\n Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.\n Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer\n Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance\n \n What You’ll Bring \n Must-haves:\n \n 3+ years of experience developing and deploying ML systems in real-world or production settings\n PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field\n Deep expertise in one or more core Embodied AI areas, such as:\n \n Foundation models (e.g., transformers, MoE, large-scale training)\n Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)\n Reinforcement learning (e.g., offline RL, RLHF, reward modeling)\n Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)\n \n Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)\n Strong programming skills in Python, with experience using frameworks such as PyTorch\n A data-centric mindset, with experience working on large-scale datasets and evaluation\n Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams\n \n Nice-to-haves:\n \n Experience in autonomous driving, robotics, or simulation systems\n Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)\n Experience with sim-to-real transfer or data-efficient learning\n Contributions to open-source ML tools or research infrastructure\n \n What we offer you  \n \n Attractive compensation with salary and equity \n Immersion in a team of world-class researchers, engineers and entrepreneurs \n A unique position to shape the future of autonomy and tackle the biggest challenge of our time \n Bespoke learning and development opportunities \n Relocation support with visa sponsorship \n Flexible working hours - we trust you to do your job well, at times that suit you and your time \n Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budge","salary_min":230000,"salary_max":380000,"location":"Sunnyvale, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["autonomous-vehicles","pytorch","computer-vision","generative-ai","robotics","reinforcement-learning","search","research"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8552567002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T04:48:53Z","expires_at":"2026-06-29T14:12:46.582695Z","created_at":"2026-05-27T14:13:10.467099Z","updated_at":"2026-05-30T14:12:46.693988Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9d392abd-0c8d-4aaf-8428-3f3281d435af"},{"id":"0ced9737-338d-413e-9cb9-3d0e124cf77e","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Software Engineer - AI Data Applications","slug":"senior-software-engineer-ai-data-applications-e143fc45","description":"Mission Summary: \n We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! \n What You'll Be Doing: \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n Development:\n \n Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. \n Mentor junior engineers and peers on best practices and adoption strategies \n \n \n What We're Looking For \n \n Experience:\n \n BS or MS in Computer Science or related field\n 4+ years of professional experience in building web applications \n Extensive experience with building web applications for search and data curation needs. \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $149,000 — $198,500 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.","salary_min":149000,"salary_max":198500,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","api-design","cloud","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7735404003#/7735404003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T14:17:24Z","expires_at":"2026-06-29T14:06:00.588947Z","created_at":"2026-05-16T14:06:27.340247Z","updated_at":"2026-05-30T14:06:00.69853Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0ced9737-338d-413e-9cb9-3d0e124cf77e"}],"page":1,"per_page":20,"total":608,"total_pages":31}