Robotics AI Engineer
Core
Design and train reinforcement learning and imitation learning policies for locomotion, manipulation, and whole-body control on physical humanoid robots.
Role type
Robotics AI Engineer (IC)
Builds
RL/IL policies deployed on real-world humanoid robots
Domain
Robotics, Reinforcement Learning, Humanoid Locomotion
Deliverable
production ML models
Required skills
Reinforcement learning, Imitation learning, Python, Sim-to-real transfer, Simulation environments, Data pipelines, Hardware debugging, Policy iteration
Preferred skills
Humanoid/legged robot platforms, Domain randomization, System identification, Open-source contributions, Control theory, Trajectory optimization
Technologies
JAX, PyTorch, IsaacGym, IsaacLab, MuJoCo
Responsibilities
Design and train RL/IL policies for locomotion and manipulation; Run experiments on physical hardware to close the sim-to-real gap; Build and maintain simulation environments and data pipelines; Instrument robot deployments and analyze failure modes; Collaborate with hardware and firmware teams to improve policy robustness
Seniority
Mid-Senior, hands-on IC
