# AI Manipulation Engineer \(human\) - Company: [Neura Robotics Gmbh]() - Location: Munich - Team: AI - Employment type: Full Time - Posted: June 17, 2026 ## Job description # **Your mission & challenges** * **Policy Design & Training:** You design and train the learning-based policies that map multimodal sensing, from vision and language down to raw tactile and IMU data, into smooth, precise, and safe hardware actions. **Multi-Contact Manipulation:** You sit at the intersection of imitation learning, reinforcement learning, and physical deployment. Your problem is the hard one: multi-contact manipulation on real, underactuated, tactile-rich hardware. **Dexterous Hand Control:** You teach NEURA's hands to manipulate the world with human-like dexterity * **Collaboration & Execution:** You work closely with ML, robotics, and software teams to deliver trained policies that work on the hands. # **What we can look forward to** * Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field with a strong focus on robotic manipulation or reinforcement learning * Hands-on experience training manipulation policies with imitation learning or deep RL on physical robot arms or dexterous hands * Deep familiarity with GPU-accelerated simulation (Isaac Lab and Isaac Sim, or MuJoCo), including building custom environments and assets * Strong PyTorch, with experience using robot-learning libraries such as Stable-Baselines3, Ray RLlib, or LeRobot * Solid foundations in kinematics, dynamics, spatial transforms, and closed-loop control * Proficient Python and C++, clean reproducible code, Git, and Docker **Nice to have:** * Experience with teleoperation hardware such as VR controllers, data gloves, or vision-based hand tracking * Experience training or fine-tuning VLA or diffusion-based architectures * Experience with tendon-driven or highly underactuated mechanical systems ## Apply [Apply on Neura Robotics Gmbh]() Canonical job page: