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.