Senior Locomotion Control Engineer
Core
Design, implement, and optimize robust locomotion systems for quadruped, humanoid, and legged robots, ensuring reliable performance from simulation to real-world hardware deployment.
Role type
Senior Locomotion Control Engineer
Builds
Robust locomotion systems for embodied AI robots
Domain
Robotics, Legged Locomotion, Embodied AI
Deliverable
production ML models | product features
Required skills
MPC, whole-body control, reinforcement learning locomotion, hybrid control, C++ (production), Python (research/simulation), dynamics, kinematics, estimation, control theory, real-robot deployment, failure diagnosis
Preferred skills
RL locomotion, imitation learning, policy-based control, sim-to-real workflows, actuator modeling, latency compensation, domain randomization, system identification, MuJoCo, Isaac, RaiSim, Gazebo, ROS 2, real-time robotics systems, contact-rich control, force control
Technologies
C++, Python, MuJoCo, Isaac, RaiSim, Gazebo, ROS 2
Responsibilities
Design and optimize gait generation, balance control, and terrain adaptation; Develop locomotion controllers using MPC, whole-body control, or RL; Own simulation-to-hardware deployment loop including tuning and validation; Improve stability, robustness, safety, and energy efficiency; Collaborate with runtime, simulation, and hardware teams on integration; Support real-robot bring-up, debugging, and root-cause analysis; Contribute to control architecture and technical roadmap planning
Seniority
Senior, hands-on IC
