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

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