Want to know if this job is worth applying to?
San Francisco, California, United States
Onsite
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