Group Lead AI Engineering - RoboGym (human)

Stellenbeschreibung:

Group Lead AI Engineering - RoboGym (human)

Neura Robotics • Munich

Give Our Robots Consciousness

In the AI Department, you'll develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You'll work on algorithms that make machines intelligent and adaptive—ranging from object recognition and language processing to decision‑making in complex environments. You'll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting‑edge tools and methods from machine learning and AI, you'll work on projects that have a direct impact on our products. If you're excited about making machines smarter and shaping the future of human‑machine interaction, the AI Department is the perfect place for you.

München

Full‑time

Your mission & challenges

Hire, mentor, and grow a high‑performing team of Robotic Foundation Model Application Engineers
Act as technical lead and escalation point for NeuraGym users: scope feasibility, choose algorithms, plan data collection
Oversee onboarding of users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation
Collaborate closely with on‑site Robotics Engineers during data capture and experiments to ensure desired behavior and safety standards are met
Step in hands‑on when the team hits hard blockers: review training scripts, identify data issues, help reproduce model bugs
Serve as the interface to our Cloud and AI teams, facilitating cross‑functional collaboration and alignment
Aggregate lessons learned across all engagements and feed them into both the NeuraGym product roadmap and the Neura core AI roadmap
Define and track team KPIs (skill success rate, time‑to‑validated‑skill, data efficiency)

Qualifications

Master's or PhD in Computer Science, Robotics, Electrical Engineering, or related field
5+ years hands‑on machine learning experience in robotics — strong in at least two of: vision‑based manipulation, reinforcement/imitation learning, or multimodal foundation models
2+ years of people management or formal technical leadership (tech lead, staff engineer, or team lead with direct reports)
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow
Comfortable working directly with real robot hardware and associated middleware
Cloud experience (AWS, Azure, or GCP) and robotic simulation tools (IsaacSim, MuJoCo, etc.) a plus
Proven ability to deliver complex, multi‑month robotics projects with measurable outcomes
Clear communicator who can translate between researchers, engineers, and end‑users; good command of English and German (B2–C1)

Benefits

Creative Freedom and Agility

Enjoy a dynamic, self‑reliant work culture with flat hierarchies, flexible hours, and 30 vacation days. Ideal for those seeking an inspiring professional setting, whether you're starting out or an experienced exec.