195126 Intern AI for CAD Data & Engineering Intelligence (f/m/x) Published: 17.09.2026 Advanced Development/Research Munich New Advanced Development/Research Munich Munich

BMW Group; München; Hybrid; EUR 13.000 - 18.000; Vollzeit

Benefits dieser Stelle

Mobile work

Student housing in Munich

Zusammenfassung

The BMW Group offers an internship in Munich within our Interior Research Team, focusing on AI-powered solutions for engineering. You will work on processing CAD and 3D geometry data and help prepare models for downstream AI applications.

You will gain hands-on experience with Python, CAD data pipelines, and modern software tools in a research environment, contributing to future automotive digitalisation and intelligent engineering tools.

Qualifikationen

• Pursuing a degree in a technical field with interest in AI and software.
• Basic programming in Python and interest in CAD data processing.
• Familiarity with CAD models or 3D geometry is a plus.

Aufgaben

• Support AI-based solutions for processing CAD and 3D geometry data.
• Help prepare, simplify, and structure CAD models for AI applications.
• Contribute to component and geometry recognition using modern AI methods.
• Assist in extracting and processing information from complex 3D models and assemblies.
• Support development of data pipelines, knowledge graphs, and intelligent tools.
• Apply Python and AI methods in a research setting.
• Contribute to shaping digital solutions for future automotive development.

Kenntnisse

Python

CAD software

3D geometry

AI fundamentals

Data processing

Communication (DE/EN)

Ausbildung

Studies in Mechanical Engineering, Computer Science, AI, Data Science or related field

Tools

CAD software tools

Jobbeschreibung

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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 Interior Research Team at the BMW Group develops AI powered solutions for engineering. We combine CAD data, AI methods, and modern software tools to create the next generation of intelligent engineering applications.

What awaits you?

• You support the development of AI-based solutions for processing and understanding CAD and 3D geometry data.
• Furthermore, you help prepare, simplify, and structure CAD models for downstream AI applications.
• In addition, you contribute to component and geometry recognition using modern AI methods.
• Moreover, you assist in extracting and processing information from complex 3D models and assemblies.
• Furthermore, you support the development of data pipelines, knowledge graphs, and intelligent engineering tools.
• In addition, you help apply Python, AI models, and modern software technologies within a research environment.
• Moreover, you contribute to shaping innovative digital solutions for future automotive development.

What should you bring along?

• Studies in Mechanical Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.
• Interest in AI, software development, digital engineering, and data processing.
• Basic programming skills in Python.
• Experience with CAD software and 3D geometry.
• Basic knowledge of Machine Learning, APIs, or graph-based data structures is a plus.
• Curiosity, analytical thinking, and a hands-on mindset.
• Good communication skills in German and/or English.

Would you like to help shape the future of intelligent engineering with AI and CAD data?

What do we offer?

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

Duration: 6 months

Working hours: Full-time

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.