Job description
What You’ll Do
- Develop and optimize a learning-based robotic manipulation control stack
- Design and maintain a teleoperation system with smooth, precise motion and low latency
- Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning
- Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline
- Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI What You’ll Bring
- Passion for your craft and demonstrated excellence in robotics engineering
- Exceptional ownership and initiative—finding and solving problems independently
- Focus, attention to detail, patience, and a methodical approach to complex tasks
- Production-level expertise in modern Python or C++
- Extensive experience building and deploying real-world learning-based robotic systems (5+ years)
- Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components