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.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed