Embodied AI Engineer - Controls

About AIM

Responsibilities

• Automate, Develop, implement, and validate advanced control and learning algorithms for real-world embodied robotic systems.
• Design and conduct experiments to expand control robustness, precision, and adaptability across diverse tasks and environments.
• Combine classical and learning-based control methods (e.g., MPC, IL, RL) for scalable and reliable skill acquisition.
• Collaborate with perception and systems engineers to integrate AI control stacks into production platforms.
• Leverage simulation, digital twins, and expert demonstrations to accelerate control policy development and deployment.
• Stay up-to-date on cutting-edge research in control theory, reinforcement learning, and embodied AI.

Qualifications

• 5+ years industry experience
• Proven experience delivering production-level robotic control systems in real-world deployments (e.g., autonomous vehicles, manipulators, humanoid or mobile robots).
• Strong foundation in modern control techniques (e.g., MPC, adaptive control, system identification) and their integration with learning-based methods.