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comp BMW AG comp 80809 München - Deutschland
Informatiker/in Praktikum/Trainee/Werkstudent Vollzeit ab 12.01.2026
Beschreibung
Stellenreferenz: 170704


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.


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 explores digital innovation across all technology domains, from cloud and AI to quantum computing. As part of the Innovation, Emerging Technologies department, you will support our collaboration with leading industrial and academic partners to advance next-generation computing paradigms. This thesis is conducted within the QUTAC consortium, working closely with industry experts and BMW research teams.


What awaits you?

- You will support designing and implementing a framework that connects LLM outputs to quantum circuit generation.
- Furthermore, you help to develop, test, and benchmark prototype workflows for quantum machine learning applications.
- In addition, you contribute to evaluating performance and scalability across quantum backends and simulation environments.
- Moreover, you will assist in close collaboration with QUTAC industry experts and BMW research teams.
- You will help to document results and derive academic insights suitable for publication.


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


What should you bring along?

- Studies in computer science, physics, mathematics, engineering or a related field.
- Strong programming skills in Python.
- Experience with deep learning frameworks such as PyTorch or JAX and quantum libraries like PennyLane or Qiskit.
- Background or strong interest in quantum machine learning or hybrid AI–quantum methods.
- Analytical mindset, curiosity for emerging technologies, and ability to support research activities.
- Excellent command of English (spoken and written).


Would you like to support our research on the interface of AI and quantum computing? 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/whatweoffer


Start date: 01/12/2026

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.


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Letztes Update: 16.12.2025