Senior Physical AI Engineer

Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments.We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks.This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments.What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware.Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor.This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines.If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you.ResponsibilitiesDesign and develop intelligent robotic systems powered by modern AI and machine learning techniquesBuild scalable training pipelines for embodied AI and robot learning applicationsDevelop production-grade robotics software in Python and related frameworksTrain and deploy learning-based robotic policies using reinforcement learning and imitation learning approachesIntegrate AI models with physical robot actuators, camera systems, and sensor pipelinesImplement robotics control algorithms, kinematics, dynamics, and sensor fusion systemsWork with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platformsOptimize low-latency inference and control systems for real-world robotic deploymentCollaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into productionContribute to the architecture of next-generation embodied AI systemsRequirements5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systemsBachelor's degree in Computer Science, Artificial Intelligence or relevant fieldStrong Python programming skills with experience building scalable production systemsHands-on experience building, training, and deploying machine learning systems for robotics applicationsDeep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorchStrong understanding of robotics fundamentals, including: robot control systems kinematics and dynamics perception and sensor fusion camera and tactile sensor integrationExperience with robotics middleware such as ROS or ROS2Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platformsStrong debugging and systems engineering skills across software and hardware boundariesExperience deploying robotics systems into real-world physical environmentsPreferred QualificationsExperience with humanoid robotics or manipulation systemsBackground in autonomous systems or embodied foundation modelsExperience with GPU acceleration and distributed training systemsFamiliarity with synthetic data generation and sim-to-real transfer techniquesExperience optimizing robotics systems for edge or embedded deploymentBenefitsWhy Join USGet hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulationResearch dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasksBuild Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwideWork on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behaviorCollaborate with a highly technical, fast-moving research/engineering teamHelp shape a new robotics effort from its earliest stageSamsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees:Top-notch medical, dental, vision and prescription fully covered for You and Your familyWellness programParental leave401K match and savings planFlexible spending accountsLife insurancePaid HolidaysPaid Time offAdditional perksThe base salary range for this Mountain View, CA role is $200,000 to $270,000.Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package—which may include performance bonuses, and comprehensive benefits—during the hiring process.Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.