Description
We are seeking a Senior Machine Learning Engineer who specializes in RL / Locomotion to develop and deploy locomotion policies for legged robotic platforms. You will own the full pipeline from simulation training to real-world deployment, building systems that enable robust mobility across challenging terrain - rubble, stairs, slopes, and degraded environments. Your work will directly determine whether our platforms can operate where warfighters need them.
Design, train, and deploy reinforcement learning policies for legged robot locomotion using GPU-parallelized simulation (Isaac Gym / Isaac Lab).
Develop terrain curriculum and domain randomization strategies that produce policies robust to real-world conditions.
Own the sim-to-real transfer pipeline, identifying and closing reality gaps.
Train policies for stair climbing, rough terrain traversal, payload carry, push recovery, and fall recovery.
Define and evaluate performance metrics for locomotion robustness.
Collaborate with manipulation and perception engineers to integrate locomotion into a full autonomy stack.