Master Thesis Multi-Fidelity Test Optimization (f/m/x)

Stellenreferenz: 196139

Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.

IT CONNECTS: PEOPLE, VISIONS, OPPORTUNITIES.

SHARE YOUR PASSION.

Networks are not purely a question of IT. Networks are first and foremost a human factor. Only through a close exchange do we get an understanding of how IT can help to cast complex requirements into systems that make the difference. Mutual support in the team is crucial to provide processes and functions that really help internal users.

Our team at the BMW Group turns advances in artificial intelligence into real in-car experiences. We support the development of innovative, automated evaluation systems for our in-car LLM-based Assistant. Together, we explore multi-fidelity test optimization approaches that connect software-driven and in-car testing environments.

What awaits you?

• You support the development of intelligent, automated evaluation systems for our in-car LLM-based Assistant.
• Furthermore, you contribute to the design of test optimization approaches ranging from software-driven text-based testing to high-fidelity in-car testing.
• In addition, you help ensure your ideas become an integral part of our product and process portfolios.
• Moreover, you contribute to close collaboration with suppliers and internal teams, exchanging insights and supporting technical discussions that drive automotive AI innovation.

Please note: Submit your complete application documents for review. This position requires on-site presence, and your thesis must be supervised by a university.

What should you bring along?

• Studies in computer science, mathematics, physics, or a related discipline.
• Strong programming skills in Python 3 and ideally experience with machine learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience or strong interest in evaluating AI systems, including designing evaluation frameworks and performance measurement.
• Interest in applying optimization approaches to real-life problems.
• Passion for developing automated, scalable and reliable applications for in-car systems.
• Motivation to contribute to application-oriented research problems.
• Business-fluent English; German language skills are a plus.

Would you like to support the development of intelligent automotive AI testing solutions within an international team? 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, seebmw.jobs/waswirbieten

Start date: Earliest start date 23.11.2026

Duration: 6 months

Working hours: Full-time

You can find helpful tips on your application and the application processhere .

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 morehere .

Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.

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