Senior Locomotion Control Engineer

What you'll do

• Develop and optimize locomotion controllers and improve robot stability, robustness, safety, and energy efficiency.
• Own deployment from simulation to hardware, including tuning, validation, debugging, and failure analysis.
• Coordinate with runtime, simulation, behavior, and hardware teams; contribute to control architecture, testing, and roadmap planning.

What they ask for

• Master’s degree or above in a stated engineering or computing field, or a related field.
• 5+ years developing robotics locomotion, motion control, or autonomous robotic systems; 3+ years supporting quadruped, humanoid, or legged robot development and deployment.
• Hands-on experience with at least one locomotion approach and prior deployment of locomotion or control algorithms on physical robots.
• Strong C++ skills and proficiency in Python; strong foundation in robotics dynamics, kinematics, estimation, and control theory.

Nice to have

• Experience with RL locomotion, imitation learning, or policy-based control for physical robots.
• Experience with sim-to-real workflows, simulation platforms, real-time robotics systems, or contact-rich control.

Pay

USD $110,000 - $135,000 base salary

Tools

MPC, whole-body control, reinforcement learning, C++, Python, MuJoCo, Isaac, ROS 2

AI focus

Develops robot locomotion capabilities using approaches that may include reinforcement learning; the posting also mentions embodied artificial intelligence at the company level.