Intern Generative AI in Engineering
BMW Group
Job Overview
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Job Description
Intern Generative AI in Engineering
Share your passion and be part of the team at the BMW Group, bringing cutting-edge generative AI technologies into engineering processes. We shape the future of engineering across design, simulation, production, and sales, reducing time to insight while improving quality and enabling consistent AI capabilities across programs.
What awaits you?
- Support a multidisciplinary team at the forefront of generative AI applied to engineering.
- Develop a deep understanding of machine learning models applied to CAE processes, focusing on numerical simulations (FEM).
- Contribute to benchmarking, applying, and improving machine learning methods to understand relationships between geometries, descriptions, videos, engineering knowledge, and physical properties.
- Assist in integrating these methods into agent-based workflows for evaluating simulation results and product development.
- Collaborate closely with domain experts and AI specialists, and external partners including startups, hyperscalers, and leading AI labs.
What should you bring along?
- Master's degree studies in engineering, computer science, mathematics, or a related field.
- Programming experience in Python and practical knowledge of deep learning frameworks (PyTorch).
- 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 collaboratively and in an 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.
Key skills/competency
- Generative AI
- Machine Learning
- Deep Learning
- Python
- PyTorch
- LLMs
- VLMs
- CAE
- Numerical Simulations
- Agent-based Workflows
How to Get Hired at BMW Group
- Tailor your resume: Highlight your Master's studies in engineering, computer science, or math, along with Python and deep learning framework experience.
- Showcase project experience: Emphasize practical application of LLMs/VLMs in agentic frameworks for real-world projects.
- Demonstrate technical understanding: Detail your knowledge of CAE processes and numerical simulations (FEM).
- Express scientific curiosity: Articulate your passion for applying cutting-edge research to engineering challenges.
- Prepare for collaboration: Be ready to discuss your ability to work in a team and communicate effectively in English.
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