BMW Group is offering an internship for a Generative AI in Engineering role. You will support a multidisciplinary team applying generative AI to transform engineering processes. The focus is on developing machine learning models for CAE and numerical simulations, integrating them into agent-based workflows for product development.

What You'll Do

Support a team applying generative AI to the engineering domain.
Develop a deep understanding of machine learning models for CAE processes with a focus on numerical simulations.
Contribute to benchmarking and improving methods that understand relationships between geometries, text, video, and engineering knowledge.
Assist in integrating these methods into agent-based workflows supporting simulation evaluation and product development.
Collaborate with external partners ranging from startups to hyperscalers and leading AI labs.

What We're Looking For

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.
Experience with LLMs/VLMs and their application in agentic frameworks in a real-world project.
Technical understanding of CAE processes, especially numerical simulations.
Scientific mindset and enthusiasm for applying research to real-world challenges.
Ability to contribute in a collaborative and organized manner.
Strong communication skills in English.

Nice to Have

German language skills.

Technical Stack

Python
PyTorch
Langchain
Claude Agents SDK

Team & Environment

You'll join a multidisciplinary team applying generative AI to engineering. Experts treat you as part of the team from day one and encourage you to bring your own ideas.

Benefits & Compensation

Comprehensive mentoring & onboarding.
Personal & professional development.
Flexible working hours.
Mobile work.
Attractive & fair compensation.
Student apartments (subject to availability & only at the Munich location).

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.