What You’ll Do
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Develop and optimize a learning-based robotic manipulation control stack
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Design and maintain a teleoperation system with smooth, precise motion and low latency
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Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning
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Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline
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Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior
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Collaborate with a team of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
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Passion for your craft and demonstrated excellence in robotics engineering
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Exceptional ownership and initiative—finding and solving problems independently
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Focus, attention to detail, patience, and a methodical approach to complex tasks
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Production-level expertise in modern Python or C++
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Extensive experience building and deploying real-world learning-based robotic systems (5+ years)
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Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components
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