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
Physical AI can't be trained on internet data alone. Robots need to learn skills in the real world — by seeing, hearing and feeling real tasks in real environments. in real environments. That's the idea behind NEURA Gym: a global network of physical training centers where robots learn industrial tasks/skills directly from the people who know these processes inside out
As Team Lead AI Engineering – RoboGym, you'll lead the team responsible for turning that expertise into deployable robotic capabilities. Working closely with customers, you'll help capture domain knowledge, guide data collection and teleoperation, and oversee the process from training through to deployment.
You'll lead a team of AI Engineers and act as the technical point of contact for partners as they bring new robotic applications to life. Success in this role requires balancing hands-on technical leadership with execution, ensuring that teleoperation, data pipelines, model training, and deployment come together as a reliable and scalable system.
This role is well suited to someone who enjoys building real-world AI systems, working closely with customers, and seeing their work deployed on physical robots rather than remaining in research prototypes or demonstrations.
Your mission & challenges
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Grow the team that makes NEURA Gym possible. Hire, coach, and lead a team of AI Engineers responsible for transforming partner expertise into deployable robotic skills.
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Own the technical relationship with NEURA Gym partners. Evaluate new use cases, determine technical feasibility, select the right algorithms, and define effective data collection strategies.
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Ensure the training pipeline runs smoothly end-to-end. Oversee the entire process from teleoperation and training through simulation, deployment, and validation, ensuring seamless execution across every stage.
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Be there when it matters most. Partner closely with on-site Robotics Engineers during live data collection and experiments, ensuring target behaviors are captured successfully while maintaining high safety standards in real-world environments.
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Provide hands-on technical support. Step in when the team encounters complex challenges, whether that's reviewing training pipelines, investigating data quality issues, or helping reproduce and resolve model-related bugs.
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Connect teams across NEURA. Serve as the bridge between NEURA Gym, Cloud, and Core AI teams, ensuring knowledge gained from one partner engagement benefits the broader organization.
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Help shape the product roadmap. Translate learnings from real-world deployments into improvements for both the NEURA Gym platform and NEURA's core AI capabilities.
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Measure what matters. Define and own key metrics such as skill success rate, time-to-validated skill, and data efficiency, using them to drive continuous improvement and team performance.
What we can look forward to
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A degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent practical experience.
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Strong hands-on experience developing machine learning solutions for robotics, with expertise in at least two of the following areas:
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Vision-based manipulation
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Reinforcement and/or imitation learning
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Vision-Language-Action (VLA) models, multimodal foundation models, or related embodied AI approaches
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Experience leading engineers, projects, or technical initiatives, either through people management or formal technical leadership responsibilities.
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Practical experience with machine learning frameworks such as PyTorch or TensorFlow, solid programming skills in Python. Experience with C++ is a plus.
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Confidence working with physical robotic systems and relevant robotics software stacks and middleware.
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Familiarity with cloud platforms (AWS, Azure, or GCP) and/or robotic simulation environments such as Isaac Sim or MuJoCo is advantageous.
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Track record of delivering complex robotics or AI projects from concept to deployment, with measurable business or technical impact.
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Strong communication skills and the ability to translate between researchers, engineers, and end-users / customers, and other stakeholders.
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Professional working proficiency in English; German language skills are beneficial.
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!"