Thesis Autonomous Driving Simulation and Representation Learning

BMW Group; München; Vor Ort; EUR 16.000 - 20.000; Vollzeit

Benefits dieser Stelle

Apartments for students

Flexible working hours

Mobile work

Attractive compensation

Zusammenfassung

BMW Group offers an internship focused on end-to-end autonomous driving systems and simulation technologies, based in Munich. You’ll explore learning high-level representations using synthetic data from driving simulators and participate in experiments with CARLA, driving model evaluations, and scalable training pipelines.

The role emphasizes collaboration with an interdisciplinary team, mentoring, and practical automotive applications, with location-based student apartments and flexible hours.

Qualifikationen

• Studies in computer science, robotics, electrical engineering, mathematics, physics or a related discipline.
• Strong programming skills in Python 3 and practical experience with PyTorch or TensorFlow.
• Solid understanding of machine learning and deep learning, ideally with CV/ representation learning.
• Practical experience or strong interest in autonomous driving and CARLA.
• Familiarity with Linux, Git, NumPy and Pandas.
• Business-fluent English; German language skills are a plus.

Aufgaben

• Support exploration and implementation of methods for learning high-level feature representations in E2E autonomous driving models.
• Help design and execute experiments using synthetic driving data (e.g., CARLA) with flexible combinations of perception inputs and scene descriptions.
• Contribute to researching approaches such as representation learning, multi-modal learning, and sim-to-real transfer to improve model performance.
• Assist in defining and evaluating metrics and protocols to assess the quality of the learned representations.
• Analyze experimental results, refine training pipelines, and contribute ideas to improve scalability.
• Document findings scientifically and present results to an interdisciplinary team.

Kenntnisse

Python 3

PyTorch

TensorFlow

Machine learning

Deep learning

Computer vision

English

German

Ausbildung

Bachelors/Masters in Computer Science, Robotics, Electrical Engineering, Mathematics or Physics

Tools

CARLA

Git

Linux

NumPy

Pandas

Jobbeschreibung

• Attractive & fair compensation.

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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 BMW Group focuses on next-generation end-to-end (E2E) autonomous driving systems and simulation technologies. We concentrate on learning robust, high-level internal representations that enable realistic and scalable simulation as well as data-efficient model development. As an intern, you support the investigation of how synthetic data from driving simulators can improve these representations and make them more applicable to real-world data.

What awaits you?

• You support the exploration and implementation of methods for learning and improving high-level feature representations in E2E autonomous driving models.


• Furthermore, you help design and execute experiments using synthetic driving data (e.g., from CARLA) with flexible combinations of perception inputs and scene descriptions.


• In addition, you contribute to researching approaches such as representation learning, multi-modal learning, and sim-to-real transfer to improve model performance.


• Moreover, you support defining and evaluating suitable metrics and protocols to assess the quality of the learned representations.


• Furthermore, you help analyze experimental results, refine training pipelines, and contribute ideas to improve scalability.


• In addition, you support documenting your findings scientifically and presenting results to an interdisciplinary team.

What should you bring along?

• Studies in computer science, robotics, electrical engineering, mathematics, physics or a related discipline.


• Strong programming skills in Python 3 and practical experience with deep learning frameworks such as PyTorch or TensorFlow.


• Solid understanding of machine learning and deep learning, ideally with a background in computer vision, representation learning, or domain adaptation.


• Practical experience or genuine interest in autonomous driving, driving simulators such as CARLA, or robotics.


• Familiarity with Linux, version control tools such as Git, and common libraries such as NumPy and pandas.


• Structured and proactive approach to application-oriented research with a clear link to real automotive use cases.


• Business-fluent English; German language skills are a plus.

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, see bmw.jobs/waswirbieten

Start date:

Earliest start date 12.10.2026

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. More about this here.

Thesis Autonomous Driving Simulation and Representation Learning