Simulation & Reinforcement Learning Engineer
Simulation & Reinforcement Learning Engineer
- Location Austin
- Expertise Robotics
- Job Type Permanent
- Salary $ 120,000 per annum
Key Responsibilities
- Simulation Development: Implement and analyze humanoid robot simulations using Isaac Lab.
- RL Integration: Connect RL policies to simulations and optimize robot design.
- Model Fidelity: Enhance simulation realism with friction, efficiency, and impact modeling.
- Cross-Team Collaboration: Share insights and unblock design iterations with mechanical/electrical teams.
Required Skills
- Expert Python, NumPy, PyTorch, and experience with simulators (Isaac Lab, MuJoCo, Brax).
- Hands-on RL experience (training, inference, tuning).
- Strong Git workflow and code documentation practices.
Preferred Skills
- GPU/cloud computing, Docker.
- Experience in contact/dynamics modeling or system identification.
Qualifications
- BS + 4 years relevant experience, or MS + 2 years in Robotics, CS, ME, EE, or related fields.
Work Environment
- On-site only (Monday–Friday).
- Standard desk/computer work with occasional lifting (up to 15 lbs).
Controls Engineer (Generalist)
- San Francisco
- Robotics
- Permanent
- $ 170,000 per annum
Controls Engineer – Our Client (Stealth Robotics Startup) About Our Client Our client is a fast-growing robotics company developing an affordable, next-genera...