Embodied AI Engineer

Key Responsibilities

• Design, implement, and maintain ROS 2–based robotic systems for collaborative robots (cobots)

• Develop core Embodied AI components using C++ and Python

• Build, test, and validate robot arm behaviors in NVIDIA Isaac Sim

• Use Isaac Lab for robot learning workflows (e.g., reinforcement learning, policy training, evaluation)

• Integrate perception, locomotion, manipulation, and control modules into a unified system

• Debug, profile, and optimize system performance in simulation and real-world deployments

• Collaborate closely with AI researchers and robotics engineers on VLA/VLM systems

Required Skills & Qualifications

• Master’s degree or higher in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related fields

• Strong, hands-on experience with ROS 2

• Proficiency in C++ and Python

• Practical experience with NVIDIA Isaac Sim

• Familiarity with Isaac Lab for robot learning and/or control development

• Solid foundation in robotics fundamentals: kinematics, dynamics, control, sensing

Preferred (Bonus) Skills

• Prior experience delivering end-to-end robotics projects

• Experience with reinforcement learning, imitation learning, or control policy training

• Experience with sim-to-real transfer and real robot deployment