BMW Group Master Thesis Multi-Fidelity Test Optimization 2026

The team at the BMW Group turns advances in artificial intelligence into real in-car experiences. BMW Group support the development of innovative, automated evaluation systems for the in-car LLM-based Assistant. Together, BMW Group 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.

• Table of Content
• About Bayerische Motoren Werke Aktiengesellschaft (BMW Group)
• Master Thesis Multi-Fidelity Test Optimization (f/m/x) Master's Thesis
• Aim and Benefits of Master Thesis Multi-Fidelity Test Optimization (f/m/x) Master's Thesis
• Requirements for Master Thesis Multi-Fidelity Test Optimization (f/m/x) Master's Thesis Qualification
• Application Deadline
• How to Apply

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

Aim and Benefits of Master Thesis Multi-Fidelity Test Optimization (f/m/x) Master's Thesis

• 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, see bmw.jobs/waswirbieten

Start date: Earliest start date 23.11.2026

Duration: 6 months

Working hours: Full-time

Requirements for Master Thesis Multi-Fidelity Test Optimization (f/m/x) Master's Thesis Qualification

• 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!

Application Deadline

How to Apply

For more information, kindly visit BMW Group webpage.