Robotics Engineer – Locomotion
Core
Train and deploy reinforcement learning locomotion policies on humanoid robots, bridging simulation to hardware.
Role type
robotics engineer (RL locomotion)
Builds
RL locomotion policies, deployment stack, motion retargeting pipelines, tele-op systems
Domain
Robotics, Reinforcement Learning, Humanoid Control
Deliverable
production ML models
Required skills
controls, rigid-body dynamics, robot learning, Python, C++, simulation-to-real transfer techniques
Preferred skills
experience with humanoid platforms beyond Unitree G1
Technologies
mjlab, Isaac Lab, Isaac Gym
Responsibilities
Train locomotion policies in simulation that transfer to hardware; Develop the stack that deploys learned policies; Bridge the sim2real gap with techniques such as system identification and domain randomization; Build motion retargeting pipelines that turn human demonstration data into reference trajectories for RL; Build tele-op systems for data collection
Seniority
Mid-to-Senior, hands-on IC
