Principal Robotics Controls Engineer

Responsibilities:

• Own the end-to-end locomotion stack, interfacing high-level VL A semantic goal points (5-20 Hz) with low-level deterministic motor controllers (500 Hz).
• Develop and implement nonlinear Model Predictive Control (MPC), Whole-Body Control (WBC), and Deep Reinforcement Learning locomotion policies.
• Oversee hardware validation of gait transitions, obstacle clearing, push recovery, and stair traversal.
• Construct massively parallel Sim-to-Real (Sim2Real) training pipelines within NVIDIA Isaac Lab / Isaac Sim to produce robust gait policies across varying terrain geometries.
• Implement deterministic state estimation, contact detection, and slip-recovery algorithms operating at 500 Hz.
• Integrate high-speed motor communication protocols over CAN-FD and EtherCAT networks.

Requirements:

• Master's or Ph. D. in Mechanical Engineering, Robotics, or Mechatronics.
• Minimum 8 years of practical experience developing dynamic legged locomotion, multi-body kinematics, and real-time control.
• Expertise in modern C++, Pinocchio, Drake, OCS2, Isaac Gym, and PREEMPT_RT Linux environments, C++20, Quadratic Programming (QP), and Kinematics and Dynamics.