Member of Technical Staff, Robot Learning (Bay Area)

Department: Research

Location: Bay Area

Employment Type: FullTime

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