1.51 Robotics Autonomy Engineer - Locomotion
Tasks
- Apply domain randomization for sim to real transfer
- Architect reinforcement learning training workflows
- Automate evaluation across randomized scenarios
- Build GPU accelerated simulation training environments
- Collaborate with perception embedded and systems teams
- Deploy locomotion behaviors on physical robots
- Design RL based locomotion pipelines
- Develop reward functions and policy architectures
- Incorporate telemetry and field data for model improvement
- Integrate physics simulation environments
- Lead deployment workflows from experiments to field validation
- Solve balance and contact dynamics challenges
- Validate locomotion controllers on real hardware
Perks/Benefits
- N/A
Skills/Tech-stack
Adaptive Control | C++ | Contact dynamics | Control Theory | Domain Randomization | Isaac Lab | Isaac-Gym | Kinematics | Linux | Machine Learning | Mujoco | PyBullet | PyTorch | Python | ROS | ROS2 | Reinforcement Learning | Sim-to-Real | Sim-to-Real Transfer | System Identification | TensorFlow
Education
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