Robot Autonomy Engineer in Großmehring, München

Staff Robot Learning Engineer | Germany | Full-time You’ve already trained and deployed learning-based policies on real robots. Now you can help bring the next generation of humanoid robotics into the real world. You’ll join an ambitious robotics company developing general-purpose humanoids, building robot-learning systems that work beyond the simulator. You’ll train and improve policies, develop data pipelines, run experiments on physical hardware and tackle the challenges of reliable sim-to-real transfer. This is a hands‑on engineering role for someone who combines strong machine-learning fundamentals with practical robotics experience. You’ll work across imitation learning, reinforcement learning and emerging vision‑language‑action models, helping turn promising approaches into robust robotic capabilities. You’ll need: Minimum 2+ years professional experience training real robot policies using reinforcement learning, imitation learning or learning from demonstration. Proven experience deploying learned policies on physical robots. Strong Python and PyTorch skills, with good C++. Experience with robot data collection, simulation and sim‑to‑real transfer. A solid understanding of robot control, action representations and closed‑loop policy execution. Experience with humanoid manipulation, teleoperation, diffusion policies, vision‑language‑action models or real‑time action chunking would be a strong advantage. If you want to turn advances in robot learning into capable, reliable humanoid robots, let’s chat! #J-18808-Ljbffr