197039 Thesis Driving Scenario Quality Assessment (f/m/x) Published: 20.10.2026 Advanced Development/Research Munich New Advanced Development/Research Munich Munich

BMW Group; München; Hybrid; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Mobile work

Student apartments (Munich)

Job summary

The BMW Group Driving Simulation Center invites motivated students to join as a Thesis Driving Scenario Quality Assessment. You will help develop a systematic method to assess driving scenario quality used for simulation-based validation.

Duration is 6 months, full-time, with mobile work options and on-site Munich apartments for students. You will work with formats like OpenSCENARIO, Scenic, esmini, and CARLA, and you may contribute to a publication.

Qualifications

• Master's degree in CS, robotics, EE, data science or related field (preferred).
• Proficient Python programming.
• Interest in AI/LLMs and agent-based systems; practical experience is a plus.
• Exposure to autonomous driving simulation formats such as OpenSCENARIO, OpenDRIVE, Scenic or CARLA.
• Structured and independent work style.

Responsibilities

• Develop a systematic approach to assess driving-scenario quality for simulation-based validation.
• Make driving scenarios usable across OpenSCENARIO, Scenic, esmini, CARLA.
• Help build an evaluation setup for ongoing use after the project.
• Follow current research and relate findings to it.
• Document work with potential publication.

Skills

Python

AI interest

Independent work

Education

Master's degree (preferred)

Tools

OpenSCENARIO

CARLA

OpenDRIVE

Scenic

Job description

Thesis Driving Scenario Quality Assessment (f/m/x)

SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Our team at the new BMW Group Driving Simulation Center operates some of the most advanced driving simulators in the automotive industry, as we progressively virtualize the testing and calibration of our vehicles and functions. We focus on systematically evaluating and improving the quality of the driving scenarios behind our virtual tests.

What awaits you?

• You support the development of a systematic approach to assess the quality of driving scenarios used for simulation-based validation, helping to apply it at scale.
• Furthermore, you help make driving scenarios usable across common open formats and simulators, such as ASAM OpenSCENARIO, Scenic, esmini, and CARLA.
• In addition, you support building an evaluation setup that the team can continue to use beyond your project.
• Moreover, you follow how related questions are approached in current research and help relate your findings to them.
• Additionally, you support documenting your work, with the option to contribute to a scientific publication.

Please note that your thesis must be supervised by a university on your part.

What should you bring along?

• Studies in computer science, robotics, electrical engineering, data science, or a comparable field (Master's preferred).
• Solid programming skills in Python.
• Interest in large language models and/or agent-based systems; initial practical experience is an advantage.
• Ideally, some exposure to autonomous-driving simulation or scenario description formats such as OpenSCENARIO, OpenDRIVE, Scenic, or CARLA.
• Structured and independent way of working.

What do we offer?

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

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 .

Would you like to help build reliable AI-powered simulation frameworks for autonomous driving?

Thesis Driving Scenario Quality Assessment (f/m/x)

Legal Entity:

BMW AG

Location:

Job Field:

Advanced Development/Research

Job ID:

197039

Publication Date:

20.10.2026