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# AI Manipulation Engineer

- **Company:** Neura Robotics GmbH
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Python (Programming Language), Kinematics, Machine Learning, Reinforcement Learning, Pytorch, Git, Software Library, Docker
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/ai-manipulation-engineer-human-neura-robotics-8333975

## About the Role

* 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

## Description

* 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.


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