Teamlead AI Engineering - RoboGym (human)

Neura Robotics; München; Vor Ort; EUR 85.000 - 110.000; Vollzeit

Zusammenfassung

Neura Robotics in Munich is looking for a technical lead to build and develop a high-performing team of Robotic Foundation Model Application Engineers. This role requires expertise in robotics and machine learning, serving as the primary interface to Cloud and AI teams while ensuring high-quality experiments.

Candidates should hold a Master’s or PhD, possess strong Python skills, and have at least 5 years of hands-on machine learning experience in robotics. Proficiency in English and German is essential.

Qualifikationen

• 5+ years of hands-on machine learning experience in robotics.
• At least 2+ years of experience in people management or formal technical leadership.
• Strong Python skills with practical experience in PyTorch or TensorFlow.

Aufgaben

• Build and lead a high-performing team of Robotic Foundation Model Application Engineers.
• Evaluate feasibility and define data collection strategies for NeuraGym users.
• Drive the onboarding process for NeuraGym users across the full pipeline.

Kenntnisse

Machine Learning

Robotics

People Management

Python

C++

Robotic Simulation Tools

Cloud Platforms (AWS, Azure, GCP)

German (B2-C1)

Communication

Ausbildung

Master’s or PhD in Computer Science, Robotics, Electrical Engineering

Tools

PyTorch

TensorFlow

Jobbeschreibung

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)