Genesis AI

Robot Learning

Genesis AI  •  London, GB (Onsite)  •  10 hours ago
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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
Genesis AI

About Genesis AI

Genesis AI is a global full-stack robotics company building general-purpose robots with human-level intelligence and capabilities. Led by a world-class team obsessed with excellence at every level, Genesis AI is pushing the boundaries of robotics and AI to unlock a new era of human productivity.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI. Our team brings together the minds behind many of the most significant advances in robotics and AI in recent years — spanning the full stack.

We introduced generative simulation, created foundational platforms such as Genesis, Jiminy, Flightmare, GVBD Voxels, and invented the IPC algorithm. We led the development of the first multimodal models at Mistral AI and Apple Intelligence. We co-created UMI and Diffusion Policy, pioneered reinforcement learning frameworks for superhuman drone racing, and scaled robotic data systems at NVIDIA GR00T. We built cross-platform GPU compilers such as VeriGPU, DeepCL, Coriander, and the original PyTorch. We also built industry-leading rendering engines at Google, Epic and Unity. Now, we’ve come together at Genesis AI to close the loop, and build what’s next.

Industry
Architecture & Engineering
Company Size
51-200 employees
Headquarters
Unknown
Year Founded
Unknown
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