Teamlead AI Engineering - RoboGym (human)
Software Engineering, Data Science
Munich, Germany
- NEW
Teamlead 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.
- Full-time
München
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Build, lead, and develop a high-performing team of Robotic Foundation Model Application Engineers, supporting both their technical growth and day-to-day execution
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Act as the technical lead and escalation point for NeuraGym users, evaluating feasibility, selecting appropriate algorithms, and defining data collection strategies
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Own and drive the onboarding process for NeuraGym users across the full pipeline, including teleoperation, annotation, training, simulation, deployment, and validation
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Partner closely with on-site Robotics Engineers during data collection and experiments to ensure correct robot behavior, safety standards, and experimental quality
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Take a hands-on role when technical blockers arise, including reviewing training code, diagnosing data issues, and reproducing model failures
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Act as the primary interface to Cloud and AI teams, enabling smooth cross-functional alignment and collaboration
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Consolidate insights across projects and translate them into improvements for both the NeuraGym product roadmap and the core Neura AI roadmap
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Define, monitor, and iterate on key team metrics such as skill success rate, time-to-validated-skill, and data efficiency
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Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
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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
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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)
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Strong Python skills (C++ is a plus), with practical experience in PyTorch or TensorFlow
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Comfortable working directly with real robot hardware and associated middleware
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Experience with cloud platforms (AWS, Azure, or GCP) and robotic simulation tools (e.g., IsaacSim, MuJoCo) is a plus
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Proven track record of delivering complex, multi-month robotics projects with measurable outcomes
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Strong communicator with the ability to bridge researchers, engineers, and end-users; proficient in English and German (B2–C1)
What you can look forward to
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.
Passion for Winning
A passionate and highly skilled team of international experts aiming to redefine robot assistants.
Attractive Compensation
Enjoy a competitive salary package along with exclusive employee discounts.
One Team
Whether it's a summer party or company town hall meetings, we celebrate our successes together.
Professional Growth
Support for your personal and professional development.
Our values. The cornerstones of our success.
We are a team. We strive to achieve great things by promoting the success of our colleagues and partners.
We strive for technological progress in order to give people back their valuable time for enjoyable activities.
We strive to revolutionize the world of robotics by pushing the boundaries of technology every day.
We live a high level of appreciation through open communication and transparency.
We do our best to always be two steps ahead. We achieve this through empowerment, freedom of action and personal responsibility.
People are at the center of everything we do.
Our Location
Our office in Munich is located in the Obersendling district, a vibrant area that perfectly blends modern work with a high quality of life. Here, you're in the heart of the Bavarian metropolis, known for its economic strength, cultural diversity, and unique charm.
Obersendling offers a relaxed atmosphere with charming cafés, green parks, and excellent connectivity – both to the city center and the Bavarian countryside. You're quickly in the heart of Munich, with all its attractions: Marienplatz, world-famous museums, theaters, and a bustling nightlife.
The Munich office is the ideal location for specific teams and projects, benefiting greatly from proximity to partners and international networking. It provides a modern, dynamic work environment with a smaller, more personal atmosphere and is closely connected with our other locations.
Munich itself offers an exceptional quality of life. From traditional Bavarian coziness in beer gardens to international events and a cosmopolitan lifestyle, you'll find everything your heart desires. The proximity to the Alps also makes Munich ideal for leisure activities like hiking, skiing, or weekend trips to the many lakes in the region.
Our location in Obersendling combines all these advantages and offers an inspiring work environment in one of Europe's most exciting cities. Here, you can experience innovation while enjoying the Bavarian way of life – both professionally and personally.
Our application process
We ensure a transparent and efficient process and look forward to getting to know you during the application process.
Your insight into our daily work
Unsere Mission
"Our goal was to develop the world's first cognitive robot that can work with people, learn from them and provide them with targeted support. And that is exactly what we have achieved. But there is much more to come!"