Job Description

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Our team at the BMW Group brings cutting-edge generative AI technologies into engineering processes. We shape the future of engineering across disciplines like design, simulation, production, and sales, reducing time to insight while improving quality and enabling consistent AI capabilities across programs.

What awaits you?

• You will support a multidisciplinary team at the forefront of generative AI applied to the engineering domain.
• Furthermore, you help develop a deep understanding of machine learning models applied to CAE processes with a focus on numerical simulations (FEM).
• In addition, you contribute to benchmarking, applying and improving machine learning methods regarding their ability to understand relationships between virtual and real geometries, textual descriptions, videos, and engineering knowledge including physical properties.
• Moreover, you will assist in integrating these methods into agent-based workflows supporting the evaluation of simulation results and product development, collaborating closely with domain experts and AI specialists.
• Additionally, you help collaborate with external partners ranging from startups to hyperscalers and leading AI labs.

What should you bring along?

• Studies in engineering, computer science, mathematics or a related field at Master degree level.
• Programming experience in Python and practical knowledge of deep learning frameworks, particularly PyTorch and its ecosystem.
• Experience with LLMs/VLMs and their application in agentic frameworks (e.g. Langchain, Claude Agents SDK) in a real-world project.
• Technical understanding of CAE processes, especially numerical simulations.
• Scientific mindset and enthusiasm for applying cutting-edge research to real-world challenges.
• Ability to contribute in a collaborative and organized manner.
• Strong communication skills in English; German is a plus.

Would you like to shape the future of AI-driven engineering and contribute to cutting-edge research? Then Apply now!

What do we offer?

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

Start date: earliest start 05/01/2026

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 importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here