Robot Learning

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