Robotic Foundation Model Application Engineer - RoboGym (human)
Role details
Job location
Tech stack
Job description
- Act as AI consultant for NeuraGym users: scope feasibility, choose algorithms, plan data collection
- Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation
- Collaborate closely with the on-site Robotics Engineer during data capture and experiments to ensure that the desired behavior and safety standards are achieved
- Advise users while they debug: review training scripts, point out data issues, help reproduce model bugs; step in hands-on when a blocker persists
- Serve as a valuable interface to our cloud team and AI team, facilitating collaboration and support where needed
- Feed lessons learned back into both the NeuraGym product roadmap and the Neura core AI roadmap
Requirements
Do you have a Master's degree?, * Master's degree in Computer Science, Robotics, Electrical Engineering or related field
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3+ years hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest
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Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow Comfortable working directly with real robot hardware and associated middleware
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Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus
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Proven problem-solving abilities and ability to handle multiple projects in parallel
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Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)