Senior Embodied AI Engineer - Controls

📋 Description Automate, develop, implement, and validate advanced control and learning algorithms for embodied robots. Design experiments to improve robustness, precision, and adaptability. Combine classical and learning-based control methods (MPC, IL, RL) for scalable skills. Collaborate with perception and systems engineers to deploy AI control stacks. Use simulation, digital twins, and demos to speed policy development. Stay current with control theory, RL, and embodied AI research. 🎯 Requirements 5+ years industry experience. Production robotic control systems in real deployments. Strong foundation in modern control techniques (MPC, adaptive control, system ID) with learning. Deep RL, imitation learning, and optimization for dynamic systems. Proficiency in Python; familiarity with C++ for real-time robotics. Experience with high-fidelity simulators (Isaac Sim, Omniverse, Mujoco). Excellent communication and teamwork bridging AI and robotics.