Drimva

Genesis AI

Robot Learning

Bay Area · On-site · Full-time · Posted Apr 30, 2026

Experience
5+ years building and deploying real-world learning-based robotic systems.

About the job

Develops learning-based robotic manipulation and locomotion systems, from teleoperation and policy training to deployment and sim-to-real optimization.

What you'll do

  • Develop and optimize a learning-based robotic manipulation control stack and a low-latency teleoperation system.
  • Train and deploy robotic policies using reinforcement learning and imitation learning; diagnose control-pipeline latency and bottlenecks.
  • Analyze and reduce the sim-to-real gap by co-optimizing simulation and real-world robot behavior.

What they ask for

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

Nice to have

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

Tools

Python, C++

AI focus

Train and deploy robotic policies for manipulation and locomotion using reinforcement learning and imitation learning; optimize the sim-to-real gap.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)