Bachelor Thesis Car Architecture Development and Geometric Car Design (f/m/x)

BMW Group; München; Vor Ort; EUR 30.000 - 40.000; Vollzeit

Zusammenfassung

An innovative automotive company in Munich is offering an internship supporting car architecture development during a bachelor thesis. This role involves developing methods and tools for car design, ensuring technical viability in multidisciplinary settings, and integrating business requirements into vehicle concepts. Candidates should have studies in data science or computer science, along with programming skills in Python. The position offers flexible hours, mentoring, and competitive compensation.

Leistungen

Comprehensive mentoring & onboarding

Flexible working hours

Mobile work

Attractive & fair compensation

Apartments for students (subject to availability)

Qualifikationen

• Must be enrolled in a relevant university program to supervise the thesis.
• Interest in innovative car architecture and design.

Aufgaben

• Support the project team in developing methods and software tools for car design.
• Assist in creating strategies for technical plausibility in multi-disciplinary projects.
• Integrate business requirements and legal provisions into vehicle development.
• Develop parametric models based on graphical structures.
• Consider design, data analysis results, and functional requirements.

Kenntnisse

Programming skills in Python

Knowledge in data analysis

Enthusiasm for technical topics

Teamwork skills

Communication skills

German language skills

Good English skills

Ausbildung

Studies in data science, computer science or a related field

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 is dedicated to innovative car architecture development and geometric car design. We offer you the opportunity to support us during your bachelor thesis and gain valuable insights into multidisciplinary vehicle concept development.

What awaits you?

• You will support our project team in developing new methods and software tools for car architecture and geometric car design.
• Furthermore, you help to create strategies to ensure technical plausibility of concepts in a multidisciplinary environment.
• In addition, you contribute to integrating business requirements and legal provisions into vehicle concept development.
• Moreover, you will assist in developing intelligent parametric models based on graphical structures.
• You will also help to consider CAx design, data analysis results, and functional requirements in the process.
• Please note: Your thesis must be supervised by your university.

What should you bring along?

• Studies in data science, computer science or a related field.
• Programming skills in Python.
• Knowledge in data analysis and graph-based data structures.
• Enthusiasm for technical topics, methods and scientific approaches.
• Teamwork and communication skills.
• German and good English skills.

Would you like to support our international team in shaping the future of car architecture and design? 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: from 04/01/2026

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 .