About the role
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