Master Thesis Multi-Targets Distilled End-to-End Autonomous Driving (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company is seeking a student for a thesis role focused on autonomous driving technologies. You will conduct literature reviews, build end-to-end models, and collaborate with experienced engineers. Key qualifications include studies in computer science or related fields, strong skills in Python and machine learning, and familiarity with modern autonomous driving tools. The position offers mobile work and housing options at the Munich location.

Leistungen

Mobile work

Apartments for students (subject to availability)

Qualifikationen

• Strong understanding of Transformer-based models and attention mechanisms.
• Experience with end-to-end autonomous driving architectures with BEV representation is a plus.
• Thesis must be supervised by a university.

Aufgaben

• Conduct an in-depth literature review on end-to-end autonomous driving.
• Support building an end-to-end autonomous driving model and evaluate it.
• Collaborate with software developers and machine learning engineers.

Kenntnisse

Transformer-based models

Attention mechanisms

Python

PyTorch

NumPy

Docker

conda

Python virtual environments

Good English skills

German

Ausbildung

Studies in Computer Science, Electrical Engineering, Robotics or related field

Tools

NAVSIM

Bench2Drive

nuPlan

nuScenes

CARLA

Jobbeschreibung

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. 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 researches and develops advanced perception and fusion strategies to drive autonomous driving technologies forward. As part of your thesis, you will support us in exploring innovative solutions for end-to-end autonomous driving with improved closed-loop performance.

What awaits you?

• You will conduct an in-depth literature review on end-to-end autonomous driving and identify research gaps.
• Furthermore, you will support building an end-to-end autonomous driving model and evaluate it on modern public benchmarks.
• In addition, you may contribute to publishing your results.
• Moreover, you will collaborate with experienced software developers and machine learning engineers at the Autonomous Driving Campus in Unterschleißheim.

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

What should you bring along?

• Studies in computer science, electrical engineering, robotics or a related field with focus on machine learning, deep learning or artificial intelligence.
• Strong understanding of Transformer-based models and attention mechanisms.
• Experience with modern end-to-end autonomous driving architectures with BEV representation is a plus.
• Familiarity with NAVSIM, Bench2Drive, nuPlan, nuScenes or CARLA benchmarks is a plus.
• Proficient programming skills in Python, PyTorch and NumPy.
• Experience in configuring environments using docker, conda or python virtual environments.
• Good English skills; German is a plus.

Would you like to support us in advancing robust, efficient sensor fusion for automated driving? Then apply now!

What do we offer?

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

Do you have questions? Then submit your inquiry easily via our contact form. Your inquiry will be answered by phone or email afterwards.

We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here.