About this role
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 enables AI-powered automation for autonomous driving validation by building robust frameworks. Here, you will help turn research ideas into stable, operational systems and support the advancement of innovative driving simulation solutions.
What awaits you?
- You will support our highly cooperative team to foster a positive and collaborative atmosphere.
- Furthermore, you help to design and implement framework components such as APIs, pipelines, and service interfaces for end-to-end system operation.
- In addition, you contribute to integrating and operating Open WebUI as a core interface layer and ensure smooth connectivity to external LLM providers.
- Moreover, you will assist in implementing and operating the system on cloud infrastructure (AWS or Microsoft Azure), including configuration and secure access management.
- You will help to ensure reliability and stability through automated testing and CI integration.
- Additionally, you support the creation of detailed technical documentation to ensure long-term maintainability and knowledge transfer.
Please note that your thesis must be supervised by a university on your part.
What should you bring along?
- Studies in computer science, software engineering or a related field.
- Solid programming skills, for example in Python or similar.
- Basic understanding of software engineering fundamentals such as APIs, version control and clean interfaces.
- Experience with Docker and/or CI/CD is beneficial.
- Interest in cloud platforms (AWS or Azure) and building reliable, production-like systems is a plus.
- Structured mindset, quality orientation and motivation to document your work thoroughly.
- Good English skills.
Would you like to support our team in building reliable AI-powered simulation frameworks for autonomous 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, see bmw.jobs/whatweoffer
Start date: 02/16/2026
Duration: 6 months
Working hours: Full-time
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.
Other facts
About BMW Group
With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries.
In 2024, the BMW Group sold over 2.45 million passenger vehicles and more than 210,000 motorcycles worldwide. The profit before tax in the financial year 2024 was € 11.0 billion on revenues amounting to € 142.4 billion. As of 31 December 2024, the BMW Group had a workforce of 159,104 employees.
The economic success of the BMW Group has always been based on long-term thinking and responsible action. Sustainability is a key element of the BMW Group’s corporate strategy and covers all products from the supply chain and production to the end of their useful life.
What you'll do
- You will support the team in designing and implementing framework components for driving simulation automation. Additionally, you will assist in integrating systems and ensuring reliability through automated testing.
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