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

BMW Group; München; Remote; EUR 17,000 - 22,000; Full time

Benefits offered by this job

Mobile work

Apartments for students (Munich)

Job summary

BMW Group is offering a Master Thesis on Multi-Fidelity Test Optimization in Munich. You will help develop intelligent evaluation systems for the in-car LLM-based Assistant and design test optimization methods spanning software and in-car testing.

You will collaborate with suppliers and internal teams to advance automotive AI innovation. The role requires studies in CS/Math/Physics, strong Python skills, ML framework experience (TensorFlow, PyTorch), and an interest in evaluating AI systems and

Qualifications

• Studies in computer science, mathematics, physics, or a related discipline.
• Strong programming skills in Python 3 and ideally experience with ML 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.

Responsibilities

• Support the development of intelligent, automated evaluation systems for the in-car LLM-based Assistant.
• Contribute to the design of test optimization approaches ranging from software-driven text-based testing to high-fidelity in-car testing.
• Help ensure ideas become part of product and process portfolios.
• Collaborate with suppliers and internal teams, exchanging insights and supporting technical discussions that drive automotive AI innovation.

Skills

Python programming

AI system evaluation

Optimization approaches

Automated scalable applications

Business English

Education

Computer science or related field

Tools

TensorFlow

PyTorch

Job description

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

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.

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.

What do we offer?

• Mobile work.
• Apartments for students (subject to availability & only at the Munich location).

Duration: 6 months

Working hours: Full-time

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 .

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

BMW AG