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

5+ years of experience in robotics engineering
Production-level expertise in modern Python or C++
Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components

Member of Technical Staff, Robot Learning

Key skills