Member of Technical Staff, Robot Learning (Bay Area)

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