BMW AG
80809 München - Deutschland
Informatiker/in
Praktikum/Trainee/Werkstudent
Vollzeit
ab 01.04.2026
Beschreibung
Stellenreferenz: 171282
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.
SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our... weiter lesen
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.
SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our... weiter lesen
Stellenreferenz: 171282
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.
SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. 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.
We, the BMW Group, offer you an interesting and varied Master thesis in the field of automated driving and sensor fusion. Our team researches and develops cutting-edge perception and fusion strategies to advance autonomous driving technologies. As part of your thesis, you will support us in exploring robust and efficient solutions for real-world deployment of multi-sensor fusion using state-of-the-art machine learning methods.
What awaits you?
- You will conduct an in-depth literature review on Transformer architectures, multi-modal fusion, and robust perception for automated driving.
- Furthermore, you support experimental evaluation of high-level fusion approaches using public and BMW multimodal datasets.
- In addition, you help select and develop suitable Transformer-based fusion models for multi-sensor inputs.
- Moreover, you will explore efficiency strategies to enable low-latency deployment on in-vehicle hardware.
- You will assist in evaluating accuracy and robustness in simulated and real-world driving scenarios.
- Collaboration with an experienced team of software developers and ML engineers at the Autonomous Driving Campus in Unterschleißheim is part of your tasks.
Please note: You must ensure that the thesis is supervised by a university.
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 sensor fusion concepts is a plus.
- Proficient programming skills in Python, PyTorch and C++; experience with modern development tools.
- Ability to support independently and as part of a team; proactive in sharing ideas and iterating on solutions.
- Willingness to collaborate with university supervisors and adapt to project requirements.
- 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?
- 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, seebmw.jobs/waswirbieten
Start date: 04/01/2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via ourcontact 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 thishere .
Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.
3
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.
SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. 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.
We, the BMW Group, offer you an interesting and varied Master thesis in the field of automated driving and sensor fusion. Our team researches and develops cutting-edge perception and fusion strategies to advance autonomous driving technologies. As part of your thesis, you will support us in exploring robust and efficient solutions for real-world deployment of multi-sensor fusion using state-of-the-art machine learning methods.
What awaits you?
- You will conduct an in-depth literature review on Transformer architectures, multi-modal fusion, and robust perception for automated driving.
- Furthermore, you support experimental evaluation of high-level fusion approaches using public and BMW multimodal datasets.
- In addition, you help select and develop suitable Transformer-based fusion models for multi-sensor inputs.
- Moreover, you will explore efficiency strategies to enable low-latency deployment on in-vehicle hardware.
- You will assist in evaluating accuracy and robustness in simulated and real-world driving scenarios.
- Collaboration with an experienced team of software developers and ML engineers at the Autonomous Driving Campus in Unterschleißheim is part of your tasks.
Please note: You must ensure that the thesis is supervised by a university.
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 sensor fusion concepts is a plus.
- Proficient programming skills in Python, PyTorch and C++; experience with modern development tools.
- Ability to support independently and as part of a team; proactive in sharing ideas and iterating on solutions.
- Willingness to collaborate with university supervisors and adapt to project requirements.
- 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?
- 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, seebmw.jobs/waswirbieten
Start date: 04/01/2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via ourcontact 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 thishere .
Please apply exclusively online via our career portal. Applications via other channels (especially e-mails) cannot be considered.
3
Ref-Nr.: 7473883
Aktualisiert:
03.02.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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