Embodied AI Engineer

Key ResponsibilitiesDesign, implement, and maintain ROS 2–based robotic systems for collaborative robots (cobots)Develop core Embodied AI components using C++ and PythonBuild, test, and validate robot arm behaviors in NVIDIA Isaac SimUse Isaac Lab for robot learning workflows (e.g., reinforcement learning, policy training, evaluation)Integrate perception, locomotion, manipulation, and control modules into a unified systemDebug, profile, and optimize system performance in simulation and real-world deploymentsCollaborate closely with AI researchers and robotics engineers on VLA/VLM systemsRequired Skills & QualificationsMaster’s degree or higher in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related fieldsStrong, hands-on experience with ROS 2Proficiency in C++ and PythonPractical experience with NVIDIA Isaac SimFamiliarity with Isaac Lab for robot learning and/or control developmentSolid foundation in robotics fundamentals: kinematics, dynamics, control, sensingPreferred (Bonus) SkillsPrior experience delivering end-to-end robotics projectsExperience with reinforcement learning, imitation learning, or control policy trainingExperience with sim-to-real transfer and real robot deployment