Description
The role owns model accuracy and sim-to-real transfer for a full-size humanoid robot, including system identification on 4NE1 hardware, MuJoCo and Isaac Sim model authoring, real-time EKF/UKF state estimation, and debugging dynamics, contact, and estimation failures. It requires an MSc or PhD in a relevant engineering field, at least four years of real-hardware state estimation or system identification experience, and expertise in rigid-body dynamics, C++, and Python. The role also coordinates with WBC, locomotion, and RL/control teams.
