{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. \n About the Program:  \n Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship. \n About the Opportunity: \n Wing is looking for a Machine Learning Engineer Intern to join our Perception team based in Palo Alto, CA. You will be at the forefront of advancing our autonomous drone delivery system, leveraging deep learning to ensure our aircraft navigate the world with precision and safety.  At Wing, you aren’t just building models in a vacuum; you have access to tens of thousands of hours of flight data from a diverse sensor suite\n In this role, you will: \n \n Help us track towards our goal of building unified and/or generalized Perception models that helps Wing aircraft systems gracefully handle a wide variety of edge cases they experience when operating in the real world\n Analyze real-world data, coming up with new ideas on how to improve our existing Perception pipelines with state-of-the-art foundational and end-to-end geometric models\n Gain experience with leveraging large amounts of diverse, real-world data from a fleet of thousands of robots to build ML models that solve real problems.\n Make a measurable impact on Wing's ability to scale our operations more rapidly, at the forefront of the rapidly growing drone delivery industry.\n Be a part of a dynamic and collaborative team.\n \n What You’ll Need:  \n \n Currently pursuing a Master's, or PhD degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Vision, Robotics, Electrical Engineering, or related field, graduating between December 2027 and August 2028\n Strong examples of previous engineering experience from past internships and/or academic or extracurricular projects.\n Strong grasp of basic physics and engineering fundamentals in Computer vision\n Strong grasp of modern computer vision technologies such as self-supervised Vision Transformer foundation model, Vision Language Models, VLAs, and hands-on experience in at-least one of those domains\n Experience with C++ and/or Python.\n The US base salary range for this internship position is the salary range below + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.\n Salary Range\n $128,000 — $135,000 USD \n Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.\n If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our  Candidate Accommodations Request Form .","salary_min":128000,"salary_max":135000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["robotics","computer-vision","cloud","deep-learning","generative-ai","machine-learning"],"apply_url":"https://wing.com/careers/8872479002?gh_jid=8872479002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T22:00:01Z","expires_at":"2026-11-13T17:02:54.727732Z","created_at":"2026-10-14T15:24:57.757978Z","updated_at":"2026-10-14T17:02:54.730712Z","company_name":"Wing","company_slug":"wing","company_logo_url":"https://www.google.com/s2/favicons?domain=wing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8ad2920a-4171-4759-864b-2007360008f4"},{"id":"1a82c95f-d83c-420a-b3ab-74958d3adc4b","company_id":"3dacb2af-b4b4-42ae-9b16-4e0203d290e4","title":"Simulation Engineering Intern, Summer 2027","slug":"simulation-engineering-intern-summer-2027-747b710c","description":"About Wing:  \n Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. \n About the Program:  \n Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship. \n About the Role: \n Wing is looking for a Simulation Engineer Intern to join our Simulation \u0026 Evaluation Team based in Palo Alto, CA . \n Our team develops tools that enable engineers to develop, test and deploy features efficiently and at scale. Our work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification, integrated avionics and system testing, and foundational ML technologies such as world-modelling, 3D reconstruction and sim2real. Our team is dedicated to ensuring simulation is the fastest and most reliable way to test changes to our system and to enable safer and faster feature development.\n The successful candidate is able to demonstrate adeptness at software development, system modeling and simulation, 3D geometry, and RL techniques. We are looking for individuals with strong written and verbal communication skills who thrive collaborating across multidisciplinary teams, spanning Simulation, Perception, and GNC, and who can tackle complex, open-ended engineering problems.\n In this role you will:  \n \n Explore new and creative ways to use our wealth of real-world flight data to help validate our flight software.\n Build closed-loop simulation environments using real flight telemetry to enable counterfactual rollouts and policy evaluation for RL-based flight autonomy\n Leverage large-scale simulation and data pipelines to run critical experiments, draw actionable engineering insights, and contribute alongside a dedicated team committed to supporting your mentorship and growth.\n Make a measurable impact on Wing's ability to scale our operations more rapidly, at the forefront of the rapidly growing drone delivery industry.\n \n What You’ll Need:  \n \n Currently pursuing a Bachelor's, Master's or PhD degree in Aerospace Engineering, Mechanical Engineering, Computer Science, Computer Vision, Robotics, Electrical Engineering or related field, graduating between December 2027 and August 2028.\n Strong examples of previous engineering experience from past internships and/or academic or extracurricular projects.\n Strong grasp of dynamical systems, linear algebra, 3D geometry, and vision-based autonomy.\n Experience with C++ and/or Python.\n Experience with using some numerical or statistics library and environment (e.g. numpy, scipy, pandas, Matlab, R, etc.) to analyze real-world data (e.g. fitting models, simple ML approaches).\n Strong written and verbal communication skills with the ability to explain complex technical concepts across disciplines.\n The US base salary range for this internship position is the salary range below + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.\n Salary Range\n $128,000 — $135,000 USD \n Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.\n If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our  Candidate Accommodations Request Form .","salary_min":128000,"salary_max":135000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["robotics","computer-vision","computer-graphics","data-pipeline","cloud"],"apply_url":"https://wing.com/careers/8872478002?gh_jid=8872478002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T22:00:01Z","expires_at":"2026-11-13T17:02:54.772498Z","created_at":"2026-10-14T15:24:57.804897Z","updated_at":"2026-10-14T17:02:54.775169Z","company_name":"Wing","company_slug":"wing","company_logo_url":"https://www.google.com/s2/favicons?domain=wing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a82c95f-d83c-420a-b3ab-74958d3adc4b"},{"id":"fcb2f68d-9ea2-439d-9d09-29431b4bdeec","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Machine Learning Engineer - Gen SWE","slug":"machine-learning-engineer-gen-swe-049769f2","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 follows a hybrid work schedule and reports to a Software Tech Lead Manager.\n You will: \n \n \n Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams\n \n Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found\n \n Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity\n \n Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well\n \n Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features\n \n Define success metrics and use offline evaluation, simulation, and live experiments to measure impact on service quality and rider experience\n \n You have: \n \n \n BS degree in Computer Science or equivalent practical experience\n \n 5+ years of software engineering experience, including building and deploying ML models into production\n \n Experience building backend distributed systems\n \n We prefer: \n \n \n Experience with C++\n \n MS in Computer Science, or equivalent practical experience\n \n Experience in developing machine learning models, infrastructure, and pipelines\n \n Experience deploying models on-device or on edge hardware with compute and latency constraints\n \n Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction\n \n Experience in autonomous vehicles or robotics\n \n Disclosure for WA Based \u0026 Remote Roles: \n In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year\n US Remote Only: Please note that Waymo may not be able to employ remotely in all US locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.\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 $213,000 — $263,000 USD","salary_min":213000,"salary_max":263000,"location":"Mountain View, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["mlops","distributed-systems","data-pipeline","autonomous-vehicles","robotics","machine-learning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8212440","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T13:20:32Z","expires_at":"2026-11-13T16:55:54.938681Z","created_at":"2026-10-14T15:20:04.385328Z","updated_at":"2026-10-14T16:55:54.941384Z","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/fcb2f68d-9ea2-439d-9d09-29431b4bdeec"},{"id":"208f6a9b-9968-46f0-aa68-f972d885cce0","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Data Scientist, Systems Performance","slug":"senior-data-scientist-systems-performance-fc07da4b","description":"Mission Summary: \n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas.\n Rigorous behavioral and system performance evaluation is critical to scaling our service and achieving Motional's long-term goals. We are seeking a Senior Data Scientist to lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of our evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. You will help ensure Motional's performance evaluation is efficient, scientifically rigorous, and aligned with our growth priorities.\n In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence the evaluation signals software engineers rely on to validate that changes to the autonomy stack deliver intended improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. You will develop deep expertise in how evaluation signals inform launch and release decisions, weigh trade-offs across the evaluation portfolio, and provide actionable insights for designing launch criteria.\n If you are a rigorous, collaborative data scientist with a passion for improving how autonomous systems are measured and validated at scale, we encourage you to apply. \n What You’ll Be Doing: \n \n Lead the development of evaluation frameworks for the autonomous system, connecting technical problems to rigorous, data-driven approaches for measuring and validating performance. \n Collaborate closely with Functional Safety and Systems Engineering teams to ensure evaluation metrics map effectively to automotive safety standards (e.g., SOTIF, ISO 21448) and launch readiness decisions.\n Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions.\n Monitor the reliability of evaluation metrics and incoming performance data over time, including detecting drift, inconsistencies, and degradation in metric definitions, to ensure the evaluation ecosystem remains accurate and trustworthy.\n Drive our approach to performance analysis using data-backed statistical methods for simulation and on-road data.\n Develop new statistical analysis methods to analyze AV performance data and lead by example in applying them to real problems.\n Partner with triage operators and simulation engineers to turn raw disengagements and identified edge cases into procedural or generative scenarios, feeding them back into the simulation catalog to strengthen test coverage.\n Use fleet and evaluation data to identify edge cases in an automated manner and coverage gaps, and partner with engineering to feed novel scenarios back into the simulation catalog and strengthen test coverage.\n Build confidence in the evaluation framework through data-driven insights and clear communication of findings to technical leaders and stakeholders.\n Establish correlation between on-road and simulation data to improve how we interpret and act on evaluation results.\n Make sense of large datasets to drive insights, solve ambiguous performance questions, and communicate results effectively across teams and upward to leadership.\n Establish a self-service model for developers to understand the impact of their changes.\n Develop new metrics, interpret trends, and investigate anomalies in simulation and on-road data. \n Collaborate with developers to drive action based on these results.\n Serve as an advisor and influence collaborators across multiple teams, promote data-aware decision making, and establish best practices around the use of data.\n Mentor and collaborate with fellow engineers and foster a positive, collaborative work environment.\n Introduce the use of ML methods for performance evaluation where they add rigor and scale. \n \n What You Bring: \n \n 5+ years of industry experience solving complex problems with large datasets, with a track record of framing ambiguous questions into rigorous, data-driven analyses.\n Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or a related quantitative field. Master's or PhD preferred.\n Strong problem-solving skills: ability to break down complex performance and evaluation challenges, think logically, and remove bias from how problems are defined and assessed.\n Strong Python and SQL skills, with demonstrated expe","salary_min":149000,"salary_max":198500,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","robotics","mlops","deep-learning","data-pipeline","data-science"],"apply_url":"https://motional.com/open-positions/?gh_jid=8016984003#/8016984003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T17:27:51Z","expires_at":"2026-11-13T16:56:23.376677Z","created_at":"2026-10-14T15:20:30.457065Z","updated_at":"2026-10-14T16:56:23.379931Z","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/208f6a9b-9968-46f0-aa68-f972d885cce0"},{"id":"a91d5a21-3259-47d5-8df4-e146e013bc58","company_id":"e8dfc4ee-9649-4fd0-9c16-90d38a1954e1","title":"Software Engineer, Intern - Labs (Summer 2027)","slug":"software-engineer-intern-labs-summer-2027-48ca1a56","description":"About Labs \n DoorDash Labs is an independent team within DoorDash. We're hiring software engineer interns to work at the intersection of software engineering and robotics to solve key business problems with elegant technical solutions. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! \n About the Teams \n We are hiring Software Engineer interns across our Perception, Autonomy Platform, and DoorDash Air Cloud (Foundry) team. Please review the team descriptions below to learn about each. Selected candidates will be notified of which team is interested in pursuing their candidacy. \n   Perception: The Perception team helps Dot understand the world through vision foundation models and VLMs, supported by lidar and radar for safety. We tackle rare scenarios, adverse weather, and advances in reinforcement learning and end-to-end driving to make deliveries faster and smoother. We're seeking exceptional engineers in machine learning, computer vision, and state estimation to turn cutting-edge research into profitable autonomous delivery. Autonomy Platform: The Autonomy Platform team is responsible for the software foundation that Dot runs on. We build a wide variety of software frameworks for ensuring the robot operates reliably at an ever-increasing scale. This includes everything from designing the robot's operating system, building petabyte-scale data processing pipelines in the cloud, and optimizing nanosecond-level compute of bleeding-edge AI models. We are systems-oriented thinkers and hands-on builders who are excited to advance the state of the art in autonomy. Doordash Air Cloud (Foundry): The Air Cloud team, also known as Foundry, builds the cloud software that powers autonomous delivery across DoorDash—from the moment an order is placed and deemed eligible for drone or robot delivery, through merchant handoff, to flight management.   \n About the Role \n We believe interns are essential to our mission of attracting and retaining top talent. During our 12-week Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.\n Applicants must be authorized to work in the U.S. to be considered for this position. F-1 students are eligible if they are using Curricular Practical Training (CPT). DoorDash does not support students on J-1 visas for internships at this time.\n The 2027 internship program will be hosted in person at a Doordash Labs office in either San Francisco or Sunnyvale Labs. You will have an opportunity to select your preferred location(s) and team preferences during the application process.\n You’re excited about this opportunity because you will… \n \n Develop, maintain and ship technical elements with the support of your mentor, manager, and team members\n Act on feedback, coaching, and mentorship from your mentor and team members\n Actively learn about the elements to which you contribute\n Make a direct impact on our business by collaborating with your team to solve problems for our customers\n Participate in intern programming - Leadership Speaker series, social events – virtually and in-person\n Present your summer learnings during a final presentation at the end of the internship\n You are excited about an in person summer work experience \n \n We’re excited about you because… \n \n You are pursuing a B.S. or M.S. Degree in Computer Science or equivalent, have no more than 2 years of full-time work experience, and are graduating between Fall 2027 to Summer 2028.\n You are available for a May or June 2027 start date (Internships are only hosted during the Summer)\n You have experience working with databases (e.g., AWS, SQL, etc.) \n You have a solid understanding of algorithms and data structures\n You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)\n You have experience writing clean code, working with version control, and doing unit testing. \n \n Preferred but not required  \n \n At least 1 previous Software Engineering internship or equivalent relevant experience\n Curiosity about and experience using AI-powered tools to support software development, problem solving, and learning, with an understanding of how to evaluate outputs and use these tools responsibly\n Ability to analyze and improve efficiency, scalability, and stability of various systems\n Excited to develop, release and run large-scale web applications\n Experience with solutions for systems monitoring, live deployments, and continuous integration\n Experience with real-time technology problems\n Experience working with service-oriented architecture, writing APIs, and designing systems.\n Participation in project or research-based technical work, hackathons, technical conferences/orga","salary_min":107400,"salary_max":158000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["computer-vision","healthcare","fine-tuning","generative-ai","cloud","robotics","reinforcement-learning"],"apply_url":"https://job-boards.greenhouse.io/doordashusa/jobs/8263774","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T06:50:12Z","expires_at":"2026-11-13T17:03:28.756487Z","created_at":"2026-10-14T15:25:31.397968Z","updated_at":"2026-10-14T17:03:28.760236Z","company_name":"DoorDash","company_slug":"doordash","company_logo_url":"https://www.google.com/s2/favicons?domain=doordash.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a91d5a21-3259-47d5-8df4-e146e013bc58"},{"id":"0e12d082-413f-4951-a181-79c2db46f814","company_id":"75f38274-c5f0-417d-92f4-bd42624e749e","title":"Senior UX Researcher","slug":"senior-ux-researcher-1708bb24","description":"Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. \n Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. \n Role\n As a UX Researcher at Intrinsic, you will lead end-to-end user research to shape the developer tools, operational interfaces, and platform capabilities that enable intelligent industrial robotics in manufacturing and factory environments.  Working as part of an embedded product research team inside Intrinsic, you will partner closely with product managers, engineers, and industrial designers to turn complex technical workflows into intuitive, efficient human-machine experiences for robotics developers, system integrators, machine operators, technicians, and plant managers.\n How your work moves the mission forward\n \n Plan and execute generative and evaluative research studies across factory UI, developer tools, and robotic platform interfaces for target users including robotics application developers, system integrators, machine operators, technicians, and plant managers.\n Translate complex field observations and technical developer feedback into clear, actionable design recommendations.\n Partner with product and engineering leads to align UX research goals with platform engineering milestones.\n Conduct field work and observational studies on-site in industrial and manufacturing plant environments, including up to 15-20% domestic and international travel.\n Flex into product management or program management activities when required to maintain project momentum and align team execution.\n \n Skills you will need to be successful\n \n Master's or PhD degree in Human-Computer Interaction (HCI), Human-Machine Interaction (HMI), Cognitive Science, Psychology, Computer Science, or equivalent practical experience.\n 4+ years of user research experience in developer products, complex software platforms, or hardware/robotics interfaces.\n Proven experience operating at a startup-like pace within an enterprise setting (such as Alphabet/Google), with the agility to flex into product management or program management support to accelerate roadmap execution.\n Experience leveraging modern AI and agentic tools (e.g., Gemini, NotebookLM, automated synthesis tools) to streamline research synthesis and workflows while maintaining rigorous strategic human oversight.\n Demonstrated expertise in qualitative research methods (ethnography, field studies, usability testing, interviewing).\n Willingness to conduct field research in active industrial, manufacturing, and factory environments (requiring standard PPE and safety protocol compliance).\n \n Skills that will differentiate your candidacy\n \n Experience conducting user research in industrial or manufacturing environments.\n Experience with complex software engineering interfaces such as SDKs, APIs, or AI-human interactions.\n Familiarity with mixed-methods research, combining qualitative insights with quantitative usage telemetry.\n Strong track record of influencing engineering roadmap decisions through user insights.\n \n  \n The base salary for this full-time position is between $159,200 - $217,300 (USD) + 15% bonus + equity + benefits . Your recruiter will share more about the specific salary range for your targeted location during the hiring process. \n At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.\n If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.","salary_min":159200,"salary_max":217300,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","cloud","agents","research"],"apply_url":"https://boards.greenhouse.io/intrinsicrobotics/jobs/6219429004?gh_jid=6219429004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-08T04:52:11Z","expires_at":"2026-11-13T16:57:19.656422Z","created_at":"2026-10-14T15:21:04.908818Z","updated_at":"2026-10-14T16:57:19.659167Z","company_name":"Intrinsic","company_slug":"intrinsic","company_logo_url":"https://www.google.com/s2/favicons?domain=intrinsic.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0e12d082-413f-4951-a181-79c2db46f814"},{"id":"e9149594-5872-43b7-bba2-b0bd2a94c556","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems, Networking","slug":"mission-software-engineer-mission-systems-networking-c4b6b336","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Mission Systems Software team builds the distributed infrastructure that connects these vehicles to command and control. We develop the messaging, orchestration, and networking backbone that ties individual vehicles into coordinated, multi-vehicle operations. Our engineers develop the services that integrate with Lattice OS, coordinate fleets of vehicles in the field, and task and manage mission payloads and effects. We are looking for engineers excited to own from cradle-to-grave resilient, distributed mission software that supports the full range of AD\u0026S initiatives: from early concept simulation to live operations and large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n Ability to diagnose \u0026 root cause arbitrary \u0026 complex networking or routing failures in multi hop networks\n \n Ability to read packet captures and use standard network debugging tools (tcpdump, Wireshark, etc.)\n \n Experience with end to end testing of both unicast and multicast data flows\n \n Strong understanding of networking fundamentals: TCP/UDP, socket programming, MTU, multicast, TLS/mTLS\n \n Experience utilizing timing protocols such as NTP and PTP\n \n CCNA or equivalent exp.\n \n A high comfort working in a Linux environment\n \n Experience with systemd \n \n Familiarity with Kubernetes and container orchestration\n \n Experience with Git \u0026 GitHub\n \n 2-3+ years of experience using C++, Rust, or equivalent mid-level language\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n \n Experience building or maintaining distributed systems (message buses, RPC frameworks, consensus protocols, or similar)\n \n Familiarity with asynchronous programming models (async/await, event loops, futures)\n \n Comfort working with Protocol Buffers and/or gRPC\n \n Experience with Linux’s FRR package\n \n Active Secret U.S. security clearance\n \n  \n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you su","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["api-design","payments","robotics","distributed-systems","cloud","computer-vision","gpu"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5260436007?gh_jid=5260436007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T18:48:40Z","expires_at":"2026-11-13T16:57:15.933818Z","created_at":"2026-10-14T15:21:01.07217Z","updated_at":"2026-10-14T16:57:15.936654Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e9149594-5872-43b7-bba2-b0bd2a94c556"},{"id":"0d92accb-86d4-4adc-8cb1-271641d5df4a","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems, Deployment and Infrastructure","slug":"mission-software-engineer-mission-systems-deployment-and-infrastructure-11f93080","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Mission Systems Deployment \u0026 Infrastructure team owns the path our software takes from a developer's commit to running on a vehicle in the field. That includes our CI/CD pipelines and build infrastructure, the software-in-the-loop (SITL) environments engineers rely on to test before deploying to hardware, and the on-vehicle Kubernetes infrastructure that manages software deployed on mission systems. A core part of this role is solving software delivery in environments that don't look like typical cloud deployment and getting builds securely into classified and disconnected government systems where standard internet-based delivery isn't an option. We are looking for engineers who want to own the full delivery chain, from build to test to field deployment, for systems where getting this wrong has real operational consequences.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n 3+ years of experience building and maintaining CI/CD pipelines and build infrastructure in a production environment\n \n Production-grade software development experience (C++, Rust, Python, Go, or equivalent) in a Linux environment\n \n Deep experience with Kubernetes and container orchestration, including deploying and managing services in constrained or non-standard network environments\n \n Comfort navigating complex, multi-stage delivery pipelines and diagnosing failures across build, test, and deployment stages\n \n Experience with Git \u0026 GitHub, including branching/release strategies for shipping software to production\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n \n Experience delivering software into classified, air-gapped, or otherwise disconnected environments\n \n Familiarity with building and maintaining software-in-the-loop (SITL) or hardware-in-the-loop (HIL) test infrastructure\n \n Experience running Kubernetes on constrained or embedded hardware (e.g., k3s or similar lightweight distributions)\n \n Experience with systemd and Linux system-level service management\n \n Experience deploying, debugging, and testing infrastructure on physical systems in both lab and test site environments\n \n Familiarity with artifact repositories, package management, and secure software supply chain practices (e.g., signed builds, provenance tracking)\n \n Familiarity with government reference architectures or accreditation processes relevant to fielding software on DoW systems\n \n Active Secret U.S. security clearance\n \n  \n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in m","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["cloud","payments","computer-vision","robotics","gpu","infrastructure"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5260431007?gh_jid=5260431007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T18:48:38Z","expires_at":"2026-11-13T16:57:15.929219Z","created_at":"2026-10-14T15:21:01.067408Z","updated_at":"2026-10-14T16:57:15.931988Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0d92accb-86d4-4adc-8cb1-271641d5df4a"},{"id":"2ae35d48-7407-44e6-8494-018145afcd50","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems, Cyber Security","slug":"mission-software-engineer-mission-systems-cyber-security-e61689a1","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Mission Systems Cyber Security team builds security into the mission software stack from the ground up, rather than treating it as a separate concern bolted on at the end. Our engineers design the architecture that keeps mission-critical systems resilient against compromise while hardening the software and systems that run on our vehicles, building the monitoring and detection capabilities that identify and respond to security events in the field, and ensuring that only trusted, verified software ever makes it onto a vehicle. This work sits at the intersection of software engineering and security so we're looking for strong software engineers who can write code and design systems with security built in.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n 2-3+ years of production-grade C++, Rust or equivalent experience in a Linux development environment\n \n Experience designing and building secure software systems\n \n Ability to quickly understand and navigate complex systems and established code bases\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n Experience hardening Linux-based systems and reducing attack surface (e.g., disabling unused services, minimizing installed packages, enforcing least-privilege configurations)\n Familiarity with vulnerability scanning and remediation tooling and workflows\n Experience implementing cryptographic key management, secure boot, or code-signing pipelines\n Understanding of system monitoring and anomaly detection approaches for identifying and responding to security events\n Experience designing software architectures that isolate components by trust level or security domain\n Familiarity with identity and access management patterns, such as role-based access control or multi-factor authentication\n Experience deploying, debugging, and testing software on physical systems in both lab and test site environments\n Exposure to government reference architectures or compliance frameworks (e.g., STIGs, NIST security controls)\n Knowledge of embedded or safety-critical systems and how security constraints interact with real-time or resource-constrained environments\n Active Secret U.S. security clearance\n \n  \n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment ","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["robotics","computer-vision","cloud","payments","gpu"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5260387007?gh_jid=5260387007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-07T18:43:54Z","expires_at":"2026-11-13T16:57:15.924136Z","created_at":"2026-10-14T15:21:01.062814Z","updated_at":"2026-10-14T16:57:15.926903Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2ae35d48-7407-44e6-8494-018145afcd50"},{"id":"db835cf3-0130-489a-9931-b9d8c638a18d","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Engineer - Perception Modeling","slug":"senior-engineer-perception-modeling-3f6335e2","description":"On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.\n What You'll Be Doing: \n \n Lead the architecture and development of advanced perception systems, focusing on, large-scale multi-modal foundation models, and robust knowledge generalization across vehicle generations\n Architect and scale synthetic data generation and sensor simulation capabilities to tackle long-tail edge cases, unseen off-log scenarios, and closed-loop evaluation\n Drive knowledge transfer from large teacher/foundation models to efficient onboard real-time perception models via advanced distillation and post-training techniques\n Productionize and deploy solutions onto autonomous vehicle fleets\n Provide technical leadership, mentorship, and guidance to senior and mid-level engineers on the team\n \n What We're Looking For: \n \n 3+ years of experience in Machine Learning, Computer Science, Robotics, or a related field\n Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience\n In-depth understanding of common Machine Learning and Deep Learning algorithms\n Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception\n Experience with deep learning frameworks such as TensorFlow or PyTorch\n Fluency in Python, including standard scientific computing libraries and Python bindings development experience\n Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods\n Excellent communication and interpersonal skills\n Experience mentoring and leading others\n \n Preferred, but not required: \n \n Proven track record in designing, training, or fine-tuning Foundation Models (e.g., Vision-Language Models, Multimodal Transformers) for autonomous driving or robotic perception\n Deep expertise in World Models, generative video/lidar prediction, scene synthesis, and sensor simulation for closed-loop evaluation\n Strong experience with Knowledge Distillation and model compression techniques to transfer capability from large offline teacher models to lightweight edge deployments\n Demonstrated experience with Synthetic Data Generation (SDG) and multi-modal automated labeling systems to scale training data quality and volume\n Publications in premier computer vision or machine learning conferences (e.g., CVPR, ICML, NeurIPS, ICCV, ECCV)\n \n  \n #LI-BP1 \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 $172,000 — $229,000 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 diffe","salary_min":172000,"salary_max":229000,"location":"Boston, MA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["generative-ai","autonomous-vehicles","computer-vision","deep-learning","fine-tuning","robotics","pytorch","tensorflow"],"apply_url":"https://motional.com/open-positions/?gh_jid=8008804003#/8008804003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-06T17:15:40Z","expires_at":"2026-11-13T16:56:23.389669Z","created_at":"2026-10-14T15:20:30.46965Z","updated_at":"2026-10-14T16:56:23.392751Z","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/db835cf3-0130-489a-9931-b9d8c638a18d"},{"id":"389d3ac4-8c7f-4b52-810b-b05aeea8f4a8","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - Tracking","slug":"senior-ml-engineer-tracking-7090ab8b","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. \n 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. \n Join 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 Accurate and highly available information about other actors and objects is fundamental to the safe operation of autonomous trucks. Core capabilities depend on accurate tracking estimates to ensure safe and efficient vehicle behavior. \n The Tracking Team develops the ML models, state estimation algorithms, and production software responsible for associating and estimating the kinematics of other actors and objects in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready tracking solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications. \n What You'll Do  \n \n Design, develop, and deploy production ML models for mulit-object tracking, including association, learned pose and kinematic estimation, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.   \n \n \n Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.   \n \n \n Design and improve tracking and sensor fusion algorithms for robust vehicle pose and kinematics   \n \n \n Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.   \n \n \n Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.   \n \n \n Define evaluation, verification, and validation strategies to ensure Tracking quality, robustness, and safety across diverse operating conditions.   \n \n \n Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.   \n \n \n Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.   \n \n \n Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.   \n \n   What You'll Need to Succeed  \n \n Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.   \n \n \n Experience with AV or robotics perception systems (tracking, detection, SLAM, scene modeling, ect.).   \n \n \n Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.    \n \n \n Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.    \n \n \n Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.    \n \n \n Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.   \n \n \n Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.   \n \n \n Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.   \n \n   Bonus Points  \n \n Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods.   \n \n \n Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.    \n \n \n Knowledge of embedded and real-time constraints for on-vehicle deployment.    \n \n \n Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.    \n \n \n Contributions to open-source robotics, perception, or ML frameworks.    \n Familiarity with functional safety standards and automotive development processes, including ISO 26262.   \n \n  \n Perks of Being a Full-time 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 future. Our culture is collaborative, energetic, and team focused. Torc offers:    \n \n A competitive compensation package that includes a bonus component and stock options   \n \n \n 100% paid medical, ","salary_min":177300,"salary_max":212800,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","autonomous-vehicles","pytorch","robotics","payments","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8765541002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-06T13:58:16Z","expires_at":"2026-11-13T16:56:17.79822Z","created_at":"2026-10-14T15:20:25.98843Z","updated_at":"2026-10-14T16:56:17.801031Z","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/389d3ac4-8c7f-4b52-810b-b05aeea8f4a8"},{"id":"6c602d86-d419-4ce2-929d-1dbc939432ed","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Computer Vision Engineer","slug":"senior-computer-vision-engineer-29ad051c","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n About the Team\n The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success.\n About the Role\n We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.\n Responsibilities\n \n Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field\n Develop and maintain core ML pipelines\n Train and deploy deep learning models for real-time applications\n Collaborate cross-functionally with camera, systems and labeling teams\n Curate datasets for evaluating performance and comparing performance trends over time\n Provide technical mentorship to other junior ML engineers\n \n Required Qualifications\n \n MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision\n BS in Computer Science, Machine Learning, Electrical Engineering, or related field\n 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets\n Strong Deep Learning and CV background\n Proficiency in C++ development in a Linux environment\n Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow\n Experience deploying models with TensorRT and ONNX\n Optimize on-device inference and vision kernels across CPU/GPU/NPU\n Track record of developing and deploying CV models from R\u0026D to production\n Experience writing and maintaining automated continuous integration tests\n Knowledge of system profiling and tuning for latency, memory and power efficiency\n Ability to conduct experiments, ablation studies and create highly detailed reports\n Eligible to obtain and maintain a U.S. Secret security clearance\n \n Preferred Qualifications\n \n Experience in one or more of the following:\n \n Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression\n \n Experience in one or more of the following:\n \n Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow\n \n Experience troubleshooting and analyzing remotely deployed software systems\n 1 year of experience in a technical leadership role\n US Hourly Range \n $220,000 — $292,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Hi","salary_min":220000,"salary_max":292000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["jax","computer-vision","deep-learning","tensorflow","robotics","pytorch","cloud","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5256999007?gh_jid=5256999007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-05T17:08:54Z","expires_at":"2026-11-13T16:57:16.198459Z","created_at":"2026-10-14T15:21:01.365645Z","updated_at":"2026-10-14T16:57:16.201756Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6c602d86-d419-4ce2-929d-1dbc939432ed"},{"id":"53743803-ff23-4b28-82db-75076313c459","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Systems Test Engineer, IBCS-M","slug":"systems-test-engineer-ibcs-m-5754146f","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.\n ABOUT THE JOB \n We are looking to hire a Systems Test Engineer to join our rapidly growing team in Costa Mesa, CA. The Air Defense team has the most complex capability that Anduril has fielded to date. Each deployment often comes with a unique combination of hardware and software products in various configurations, targeting different mission sets, and optimized for different customer expectations. We need systems engineers who are capable of internalizing the nuances of each deployment and owning the technical success of the end-to-end solution we ship.\n WHAT YOU'LL DO \n \n Lead the integration of emerging capabilities, bringing new products into the family of systems. This may include scoping and executing on a combination of hardware and software solutions, both internal and external to the company.\n Lead requirements decomposition across cross-functional teams, defining success in the face of ambiguity.\n Responsible for scoping ideal system laydown, scrutinizing system performance, and ensuring the deployed system is meeting customer requirements. Also responsible for making tradeoffs across capability, timelines, risk, cost, and other factors to deliver an outcome.\n Own systems end to end with the ability to identify and solve problems between the seams and push through to reach an ultimate outcome.\n \n  \n REQUIRED QUALIFICATIONS \n \n 1- 3 years of hardware and software systems engineering experience.\n Degree in Engineering, Physics, Robotics, Mathematics, or a related field.\n Demonstrated use of model based systems engineering in program lifecycle.\n Experience with tools such as: JAMA, Cameo, Matlab, Simulink, AFSIM.\n Experience with programming languages such as Python, C/C++, or Rust for analysis and simulation.\n Skilled in Statistics, AI/ML, MBSE, Requirements.\n Demonstrated proficiency in the application of engineering standards into engineering processes or requirements.\n Demonstrated experience collaborating across cross-functional teams.\n Comfortable working with ambiguity, evolving priorities, and challenging problems.\n Excellent communication and presentation skills.\n Must be authorized to work in the United States.\n Up to 25% travel to customer sites.\n \n  \n PREFERRED QUALIFICATIONS \n \n Familiarity with Linux OS. Comfortable obtaining data from software platforms using command-line tools.\n Previous experience in a defense, naval, or aerospace environment\n DO-178, MIL-STD-882E, Airworthiness or Compliance experience\n Experience with any of the following: robotics, autonomous systems, radar, optics, computer vision, wireless communication, software defined radios, networking.\n Experience designing test architecture for verification and validation campaigns\n Exceptional proficiency with Python and/or MATLAB for data parsing and data visualization.\n Experience working with CII, Jenkins or Automation pipelines\n US Salary Range\n $112,000 — $149,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at ","salary_min":112000,"salary_max":149000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["cloud","payments","computer-vision","robotics"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5255079007?gh_jid=5255079007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-03T13:20:21Z","expires_at":"2026-11-13T16:57:16.894845Z","created_at":"2026-10-14T15:21:02.15707Z","updated_at":"2026-10-14T16:57:16.89782Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/53743803-ff23-4b28-82db-75076313c459"},{"id":"c991f8cb-4d16-441e-9228-2168fa251c9a","company_id":"e8dfc4ee-9649-4fd0-9c16-90d38a1954e1","title":"Staff Security Engineer, DoorDash Labs - Air","slug":"staff-security-engineer-doordash-labs-air-e38afe50","description":"About the Team \n At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. DoorDash Labs is an independent team within DoorDash pioneering new delivery modalities including Air, our drone delivery program. If you have a passion for applying autonomous aviation technologies in a service used by millions of people, then we want to talk to you!\n About the Role \n Our team is looking for a Staff Security Engineer who will act as the primary security partner to DoorDash Labs - Air, our drone delivery program. This role owns the security strategy for our fleet of drones, ground infrastructure, and the software and networks that connect them. We’re looking for a highly technical, hands-on security engineer with deep experience securing IoT or robotic platforms, who can work independently and coordinate across engineering, hardware, and operations teams to drive security objectives and validation. This role is based in the San Francisco Bay Area, with the expectation of coming into the office once a week, and periodic travel to test and production sites.\n You’re excited about this opportunity because you will… \n \n Own and drive the security strategy for drone delivery including drone authentication systems, ensuring only trusted drones and operators can access DoorDash Labs - Air systems and networks.\n Secure the physical and software layers of our drones and drone infrastructure, from firmware and onboard software to the physical hardware itself.\n Secure the physical and software layers of our nests (drone docking and charging infrastructure) and related ground infrastructure.\n Design and implement secure networking architecture across drone, nest, and ground systems.\n Review RFCs and design documents for new Air features and infrastructure, providing security guidance early in the development lifecycle.\n Visit test or production sites at least once a quarter to assess security controls, validate deployed systems, and build relationships with on-site teams.\n Partner with Enterprise Security, GRC, and Engineering leadership to ensure Air’s security posture aligns with DoorDash’s broader security strategy.\n Establish clear, measurable metrics to track the security posture and risk reduction of the Air program over time.\n \n We’re excited about you because… \n \n 8+ years of security engineering experience, with meaningful depth securing IoT or robotic platforms.\n Hands-on experience with drone security, including drone authentication and the physical and software security of drones and their supporting infrastructure.\n Strong networking fundamentals, including VPN/mesh networking tools such as Tailscale.\n Proven ability to work autonomously while coordinating across cross-functional teams (engineering, hardware, operations) to drive schedules and validate security outcomes.\n Experience reviewing RFCs and design documents, providing actionable, risk-based security feedback.\n Willingness and ability to travel to test or production sites at least once a quarter.\n Based in, or willing to relocate to, the San Francisco Bay Area, with the ability to come into the office once a week.\n Proficient in scripting/programming languages (e.g., Python, Go) for security tooling and automation.\n Experience with cloud infrastructure (AWS/GCP) and infrastructure-as-code tooling such as Terraform.\n Excellent written and verbal communication skills, with the ability to clearly explain technical security risk and trade-offs to both technical and non-technical stakeholders.\n Bachelor’s degree in Computer Science, Information Security, Cybersecurity, Electrical/Robotics Engineering, or a related technical field, or equivalent practical experience.\n Compensation \n The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.\n In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.\n DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.\n To learn more about our benefits, visit our careers page here .\n See below for paid time o","salary_min":193800,"salary_max":285000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","cloud","robotics","security","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/doordashusa/jobs/8247159","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-01T18:05:46Z","expires_at":"2026-11-13T17:03:28.80688Z","created_at":"2026-10-14T15:25:31.448038Z","updated_at":"2026-10-14T17:03:28.809778Z","company_name":"DoorDash","company_slug":"doordash","company_logo_url":"https://www.google.com/s2/favicons?domain=doordash.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c991f8cb-4d16-441e-9228-2168fa251c9a"},{"id":"4939555c-c4ef-4776-b87e-a2fdd8a1f17c","company_id":"099a8aa7-a1bc-4a90-aa8d-f59f677b925a","title":"Senior AI Software Engineer, Perception","slug":"senior-ai-software-engineer-perception-36ebc12d","description":"Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.\n  \n Agility Robotics builds Digit, the world's first commercially deployed humanoid robot — already at work in real warehouses and manufacturing facilities today. Digit has proven itself in structured work cells, and now we're pushing beyond them: into open floors, shared aisles, and dynamic spaces where people, forklifts, and other robots are all moving at once. That shift raises the bar for perception dramatically — Digit needs to reliably understand and react to environments that are no longer predictable or controlled. \n That means perception isn't just about capability — it's about trust. Every person Digit works near is counting on our perception systems to see them, understand them, and never get it wrong, whether Digit is in a fixed work cell or navigating a busy, ever-changing facility. We're looking for a Senior AI Software Engineer, Perception to own the design and implementation of the algorithms that let Digit perceive its surroundings and stay safe as we take on these more dynamic, less constrained environments. \n What You'll Do \n \n Design, develop, and deploy perception algorithms (e.g., human detection algorithm) that enable safety and efficiency, defining how Digit perceives and reasons about humans and hazards as it expands from structured work cells into open, dynamic environments \n Drive adoption of state-of-the-art perception models by evaluating emerging research and technology and deciding what's worth building into future robot architectures \n Promote best practices in model design, implementation and testing to deliver high-quality, scalable software \n Optimize deep neural networks and associated data pipelines to run efficiently on embedded systems (e.g., model structure optimization, CUDA inference etc.) \n Set standards for verification and validation of ML-based perception models, especially for rare and safety-critical scenarios \n Collaborate across navigation, controls, and hardware teams to ensure the perception model serves the whole robot \n \n What You Bring \n \n 5+ years of experience in machine learning/perception for robotics \n Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems \n Demonstrated experience building ML/perception systems for safety-critical or safety-rated contexts — human detection, automotive, robotics, or a comparable regulated domain \n Deep expertise in convolutional neural networks, multi-object tracking, human detection, data association, supervised learning, and pose estimation, with strong intuition for where these approaches break down in unpredictable, real-world conditions \n Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures \n Experience with MLOps, including data annotation services, data storage, model evaluation tools, and model deployment \n Publications in the field (CVPR, ICCV, RSS, ICRA preferred) \n \n Nice to Haves \n \n Experience designing and implementing perception systems for humanoid or legged robots specifically \n Experience building systems based on multiple sensor modalities including camera, lidar, infrared camera.  \n Knowledge in traditional geometric computer vision and sensor hardware etc. \n \n  \n \n  \n This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. \n The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. \n Anticipated Salary Range\n $197,000 — $307,000 USD \n In addition to base pay, our competitive total rewards package consists of the following for full-time employees: \n \n 401(k) Plan:   Includes a 6% company match.\n Equity:   Company stock options.\n Insurance Coverage:   100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.\n Benefit Start Date:   Eligible for benefits on your first day of employment.\n Well-Being Support:   Employee Assistance Program (EAP).\n Time Off: \n \n Exempt Employees:   Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.\n Non-Exempt Employees:   10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.\n \n On-Site Perks:   Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.\n Parental Leave:   ","salary_min":197000,"salary_max":307000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","computer-vision","gpu","data-pipeline","robotics","mlops"],"apply_url":"https://www.agilityrobotics.com/about/job-post?gh_jid=6210999004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-30T16:15:10Z","expires_at":"2026-11-13T16:59:26.118513Z","created_at":"2026-10-14T15:22:58.177037Z","updated_at":"2026-10-14T16:59:26.121355Z","company_name":"Agility Robotics","company_slug":"agility-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=agilityrobotics.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4939555c-c4ef-4776-b87e-a2fdd8a1f17c"},{"id":"e59d7fac-d83a-4528-98a6-15e1ff36b1c0","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Chief Engineer, Advanced Effects (Hypersonics) ","slug":"chief-engineer-advanced-effects-hypersonics-06b55c48","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n The Air Dominance and Strike (AD\u0026S) Chief Engineering Team is a driving force behind the technical execution and strategic vision of our most critical programs. They are responsible for architecting a vision for product development and guiding multi-disciplinary teams to deliver effectively. They are expected to own the mission and to be deeply involved in building the eco-system that enables execution. We are hiring for Chief Engineers across our high-speed and hypersonic programs.  WHAT YOU'LL DO: \n \n Lead technical and programmatic execution of new and existing missile designs, fabrication, test, productization and sustainment.\n Own the technical and programmatic success of your programs, establish technical and programmatic vision assemble teams of internal and external subject matter experts, and communicate that vision to them.\n Set up trades to enable the exploration of early conceptual designs while working closely with technical SME’s and Business Development teams to find the right solution to current and future gaps in the DOD capability to ensure the warfighter has the best solution for current and future conflicts.\n Manage the detailed design of the system and subsystems including requirements development, sub-system trades and optimization, risk management etc. to ensure the appropriate consideration of design key performance parameters, schedule, costs and risks.\n Coordinate the fabrication of prototype and low-rate production articles and subsystem/system level test efforts.\n Support remotely deployed operations of your systems.\n Work with senior leadership to ensure resource plans are adequate for work scope.\n \n REQUIRED QUALIFICATIONS: \n \n Deep understanding of Missile Development or Robotics/consumer electronics\n Bachelor’s degree in Aerospace, Mechanical, Electrical or Software engineering, or equivalent experience in a relevant field.\n Experience in a senior role leading programs from initial concept through test and delivery to customers\n Experience driving strategic direction in competitive landscapes, solving complex system optimization challenges under tight constraints.\n Proven ability to deliver functional capabilities while aligning technical objectives with programmatic outcomes.\n Demonstrated collaboration and partnerships with internal and external stakeholders\n Strong understanding of the “why” behind Vehicle and Systems design.\n Experience working on mission critical DOD systems\n Experience troubleshooting and analyzing remotely deployed systems.\n Travel up to 25% to Customer and Test Sites\n Eligible to obtain and maintain an active U.S. Secret security clearance\n US Salary Range\n $191,000 — $336,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legit","salary_min":191000,"salary_max":336000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","fine-tuning","payments","robotics","computer-vision"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5252457007?gh_jid=5252457007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-29T21:18:56Z","expires_at":"2026-11-13T16:57:15.61072Z","created_at":"2026-10-14T15:21:00.705998Z","updated_at":"2026-10-14T16:57:15.613571Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e59d7fac-d83a-4528-98a6-15e1ff36b1c0"},{"id":"ec278267-477d-4688-a758-54877ad70f37","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Machine Learning Engineer II - Learned Planning (Reinforcement Learning)","slug":"machine-learning-engineer-ii-learned-planning-reinforcement-learning-6785c795","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. \n 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. \n Join 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:   As a Machine Learning Engineer II – Learned Behaviors, you will help develop and deploy  behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations.    This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack.    What You’ll Do  \n \n Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning.\n Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.\n Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios.\n Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data.\n Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments.\n Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation.\n Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration.\n Contribute to technical discussions around model architecture and training strategies within the team. \n \n What You’ll Need to Succeed  \n \n Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. \n Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.\n Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.\n Experience training and evaluating machine learning models using large datasets and scalable compute environments.\n Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models.\n Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.\n Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. \n \n Bonus Points!  \n \n Experience working in autonomous driving, robotics, or simulation-based training environments.\n Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray).\n Experience working with simulation environments or large-scale behavior datasets.\n Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems.\n Experience deploying ML models into production or real-world robotics systems. \n \n Perks of Being a Full-time Torc’r   Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     \n \n A competitive compensation package that includes a bonus component and stock options\n 100% paid medical, dental, and vision premiums for full-time employees\n 401K plan with a 6% employer match\n Flexibility in schedule and generous paid vacation (available immediately after start date)\n AD+D and Life Insurance \n \n At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. \n For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United S","salary_min":153200,"salary_max":183800,"location":"Ann Arbor, MI","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["deep-learning","distributed-systems","payments","reinforcement-learning","agents","autonomous-vehicles","pytorch","robotics"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8852888002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-29T21:15:57Z","expires_at":"2026-11-13T16:56:17.74727Z","created_at":"2026-10-14T15:20:25.93453Z","updated_at":"2026-10-14T16:56:17.749834Z","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/ec278267-477d-4688-a758-54877ad70f37"},{"id":"a0bd604b-bde2-4b7a-bd1a-1349371e22e1","company_id":"f8de0913-0ef7-4e72-a9cf-81f8513ec624","title":"Research / Software Engineer - Humanoid Whole Body Learning","slug":"research-software-engineer-humanoid-whole-body-learning-efc0c249","description":"FieldAI is transforming how robots interact with the real world. Our growing R\u0026D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.\n\n\nFieldAI is seeking a Software/Research Engineer to help build the learning systems that power our next generation of humanoid robots. You'll work across whole-body loco-manipulation, reinforcement learning, motion retargeting, and real-world robot deployment, turning new research and technical developments into reliable capabilities on physical humanoids. This is a highly hands-on role for someone excited about closing the loop between research, simulation, and robots operating in the real world.\n","salary_min":120000,"salary_max":220000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["search","reinforcement-learning","robotics","research"],"apply_url":"https://jobs.lever.co/field-ai/09def7d8-26bf-451f-a4f2-bd8fd4c5f5cf/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-29T03:41:03.563Z","expires_at":"2026-11-13T17:00:37.943279Z","created_at":"2026-10-14T15:23:56.946161Z","updated_at":"2026-10-14T17:00:37.946561Z","company_name":"Field AI","company_slug":"field-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=field.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a0bd604b-bde2-4b7a-bd1a-1349371e22e1"},{"id":"714912f4-f6d3-4c29-8239-526272ec4168","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Mission Software Engineer, Mission Systems","slug":"senior-mission-software-engineer-mission-systems-3eecc7d0","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Mission Systems Software team builds the distributed infrastructure that connects these vehicles to command and control. We develop the messaging, orchestration, and networking backbone that ties individual vehicles into coordinated, multi-vehicle operations. Our engineers develop the services that integrate with Lattice OS, coordinate fleets of vehicles in the field, and task and manage mission payloads and effects. We are looking for engineers excited to own from cradle-to-grave resilient, distributed mission software that supports the full range of AD\u0026S initiatives: from early concept simulation to live operations and large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n 6+ years of production-grade C++, Rust or equivalent experience in a Linux development environment\n \n Experience building low-latency, high performance software solutions\n \n Familiarity with Kubernetes and container orchestration\n \n Experience with Git \u0026 GitHub\n \n Experience taking software from initial development through fielded deployment, working closely with other teams (e.g. hardware, systems, program management) to get it into operational use\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n \n Experience with systemd \n \n Experience building or maintaining distributed systems (message buses, RPC frameworks, consensus protocols, or similar)\n \n Familiarity with asynchronous programming models (async/await, event loops, futures)\n \n Comfort working with Protocol Buffers and/or gRPC\n \n Experience with DDS\n \n Deep expertise with k3s and/or STIG’d RHEL\n \n Experience deploying, debugging, and testing software on physical systems in both lab and test site environments\n \n Familiarity with government reference architectures\n \n Knowledge of military systems and operational tactics\n \n Active Secret U.S. security clearance\n \n  \n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agenc","salary_min":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","payments","computer-vision","robotics","gpu","cloud","distributed-systems"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5250392007?gh_jid=5250392007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-28T16:46:20Z","expires_at":"2026-11-13T16:57:16.265263Z","created_at":"2026-10-14T15:21:01.459378Z","updated_at":"2026-10-14T16:57:16.268587Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/714912f4-f6d3-4c29-8239-526272ec4168"},{"id":"8643cd17-1cb2-434e-8214-195bf6623e0a","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Mission Software Engineer, Mission Systems","slug":"mission-software-engineer-mission-systems-2f8cbd04","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n Air Dominance \u0026 Strike (AD\u0026S) is responsible for autonomous robotics systems like the Fury unmanned fighter jet and the Barracuda family of advanced effects. The AD\u0026S Mission Systems Software team builds the distributed infrastructure that connects these vehicles to command and control. We develop the messaging, orchestration, and networking backbone that ties individual vehicles into coordinated, multi-vehicle operations. Our engineers develop the services that integrate with Lattice OS, coordinate fleets of vehicles in the field, and task and manage mission payloads and effects. We are looking for engineers excited to own from cradle-to-grave resilient, distributed mission software that supports the full range of AD\u0026S initiatives: from early concept simulation to live operations and large scale fleet management.\n REQUIRED QUALIFICATIONS \n \n \n BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.\n \n 2-3+ years of production-grade C++, Rust or equivalent experience in a Linux development environment\n \n Experience building low-latency, high performance software solutions\n \n Familiarity with Kubernetes and container orchestration\n \n Experience with Git \u0026 GitHub\n \n Experience taking software from initial development through fielded deployment, working closely with other teams (e.g. hardware, systems, program management) to get it into operational use\n \n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n Track record of high ownership and bias for action\n \n PREFERRED QUALIFICATIONS \n \n \n Experience with systemd \n \n Experience building or maintaining distributed systems (message buses, RPC frameworks, consensus protocols, or similar)\n \n Familiarity with asynchronous programming models (async/await, event loops, futures)\n \n Comfort working with Protocol Buffers and/or gRPC\n \n Experience with DDS\n \n Deep expertise with k3s and/or STIG’d RHEL\n \n Experience deploying, debugging, and testing software on physical systems in both lab and test site environments\n \n Familiarity with government reference architectures\n \n Knowledge of military systems and operational tactics\n \n Active Secret U.S. security clearance\n \n  \n US Salary Range\n $166,000 — $220,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests:  Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.\n Please always verify communications: \n \n Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.\n Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their age","salary_min":166000,"salary_max":220000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["distributed-systems","computer-vision","cloud","api-design","gpu","robotics","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5249750007?gh_jid=5249750007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-25T22:54:51Z","expires_at":"2026-11-13T16:57:15.918368Z","created_at":"2026-10-14T15:21:01.058532Z","updated_at":"2026-10-14T16:57:15.921849Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8643cd17-1cb2-434e-8214-195bf6623e0a"}],"page":1,"per_page":20,"total":1199,"total_is_exact":true,"total_pages":60}