The Role
Develop and optimize learning-based robotic manipulation control stacks, train robotic policies, and minimize the sim-to-real gap while collaborating with a dedicated team.
Summary Generated by Built In
Staff Robot Learning Scientist/Engineer
Company
Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, allowing humans to focus on creativity, curiosity, and what they love. We recently raised a $105M Seed round backed by Khosla Ventures and Eclipse, and we’re looking to expand our software and hardware teams rapidly.
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
Skills Required
- Production-level expertise in modern Python or C++
- Extensive experience building and deploying real-world learning-based robotic systems
- Hands-on experience troubleshooting robotic systems across mechanical, electrical, and software components
Am I A Good Fit?
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The Company
What We Do
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