Robot Learning

GenesisSan Carlos, CA

About The Position

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.

Requirements

  • Production-level expertise in modern Python or C++
  • Extensive experience building and deploying real-world learning-based robotic systems (5+ years)

Nice To Haves

  • 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
  • Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components

Responsibilities

  • 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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