Intern Robot Learning for Assembly Automation (f/m/x)

Physical AI is transforming automation fundamentally. Our team at the BMW Group applies cutting-edge breakthroughs in robot learning to automate complex assembly tasks directly on factory lines. We embrace a fast-paced environment with state-of-the-art hardware and exciting innovation projects.

What awaits you?

• You will support applied research in Embodied AI for automating assembly tasks.
• Furthermore, you help develop architectures and algorithms for robot learning.
• In addition, you contribute to evaluating and testing approaches on state-of-the-art robotic hardware.
• Moreover, you will assist in exciting innovation projects in industrial robotics.
• Additionally, you collaborate with a small, motivated team in a fast-paced environment.

What should you bring along?

• Studies in robotics, computer science, electrical engineering or a related field.
• Experience with Python, ROS and PyTorch.
• Technical foundations in reinforcement learning, behavior cloning, deep learning, robot task planning, MDPs, MPC or teleoperation.
• Hands-on knowledge of simulation environments such as Isaac Sim or MuJoCo.
• Practical skills in working with real or simulated manipulators.
• Contributions to scientific publications are a plus.
• Good German and English skills.

Are you enthusiastic about new technologies and an innovative environment? Then Apply now!

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/waswirbieten

Start date: Earliest start date 16.11.2026

Duration: 6 months

Working hours: Full-time

You can find helpful tips on your application and the application process here.

At the BMW Group, we place great value on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. More about this here.