We, the BMW Group, offer you an exciting and varied internship in the field of digital transformation and automation. Our team drives innovation by leveraging cutting-edge technologies such as Artificial Intelligence and immersive Digital Worlds. With a strong focus on robotics and advanced technology development, we offer you the opportunity to actively contribute to shaping the future of automation within the BMW Group.
What awaits you?
- You will support applied research in Embodied AI to automate complex assembly tasks.
- Furthermore, you help to 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.
- You will support 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.
- Experience in simulation environments such as Isaac Sim or MuJoCo.
- Experience supporting real or simulated robotic manipulators.
- Contributions to scientific publications are a plus.
- Good English skills.
You are enthused by new technologies and an innovative environment? Apply now!
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive & fair remuneration.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits - see jobs/benefits
Earliest starting date: 01/12/2026
Duration: 6 months
Working hours: Full-time
Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
Learn more here.
