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Robot Learning

Genesis

San Francisco, CAFull-timePosted 4mo agoStill listed 1w ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

The role focuses on developing and optimizing learning-based robotic manipulation control stacks, designing low‑latency teleoperation systems, training policies for manipulation and locomotion, deploying and diagnosing control pipelines, and reducing the sim‑to‑real gap through co‑optimization, all while collaborating with a driven team building general‑purpose Physical AI.

Skills & qualifications

RequiredNice to have

Skills

RoboticsReinforcement LearningControl SystemsProblem SolvingMechanical SystemsElectrical SystemsSoftware DevelopmentPythonC++Robotics EngineeringTroubleshooting

Qualifications

Five Years ExperiencePassion for Robotics EngineeringExceptional Ownership and InitiativeFocus and Attention to Detail

Full job description

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

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