Teamlead AI Engineering - RoboGym (human)
NEURA Robotics
MunichOn-siteFull-Time4d ago
Description
Your mission & challenges
- Build, lead, and develop a high-performing team of Robotic Foundation Model Application Engineers, supporting both their technical growth and day-to-day execution
- Act as the technical lead and escalation point for NeuraGym users, evaluating feasibility, selecting appropriate algorithms, and defining data collection strategies
- Own and drive the onboarding process for NeuraGym users across the full pipeline, including teleoperation, annotation, training, simulation, deployment, and validation
- Partner closely with on-site Robotics Engineers during data collection and experiments to ensure correct robot behavior, safety standards, and experimental quality
- Take a hands-on role when technical blockers arise, including reviewing training code, diagnosing data issues, and reproducing model failures
- Act as the primary interface to Cloud and AI teams, enabling smooth cross-functional alignment and collaboration
- Consolidate insights across projects and translate them into improvements for both the NeuraGym product roadmap and the core Neura AI roadmap
- Define, monitor, and iterate on key team metrics such as skill success rate, time-to-validated-skill, and data efficiency
What we can look forward to
- Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
- 5+ years of hands-on machine learning experience in robotics, with strong expertise in at least two areas such as vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models
- At least 2+ years of experience in people management or formal technical leadership (e.g., tech lead, staff engineer, or team lead with direct reports)
- Strong Python skills (C++ is a plus), with practical experience in PyTorch or TensorFlow
- Comfortable working directly with real robot hardware and associated middleware
- Experience with cloud platforms (AWS, Azure, or GCP) and robotic simulation tools (e.g., IsaacSim, MuJoCo) is a plus
- Proven track record of delivering complex, multi-month robotics projects with measurable outcomes
- Strong communicator with the ability to bridge researchers, engineers, and end-users; proficient in English and German (B2–C1)
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