Intern AI Agents and Synthetic Data for ADAS (f/m/x)

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.

Within ADAS pre-development, we design and evaluate next-generation intelligent driving functions using data-driven and automation-focused approaches. Our team focuses on scalable AI architectures, robust data strategies, and systematic competitive benchmarking for cutting-edge driver assistance systems and automated driving functions.

What awaits you?

• You will support the design of AI agents for structured benchmarking of ADAS functions, including feature comparison, functional analysis, and competitive evaluation.
• Furthermore, you help develop agent-based workflows for automated information retrieval, structuring, and evaluation leveraging Large Language Models and orchestration tools such as n8n.
• In addition, you contribute to the development of synthetic data pipelines for generating relevant training and validation scenarios for automated driving functions.
• Moreover, you assist in building and extending Python-based data processing and analysis pipelines for structured and unstructured datasets.
• You will also help with the integration of AI-driven solutions into existing development, simulation, or cloud environments.

What should you bring along?

• Studies in Computer Science, Artificial Intelligence, Data Science, Robotics, Automotive Engineering, or a comparable field.
• Proficiency in Python, including experience building structured software components or data pipelines.
• Practical experience with AI agents or agent-based systems, ideally using orchestration tools such as n8n or similar frameworks.
• Initial experience with synthetic data generation for machine learning training, simulation, or scenario generation.
• Understanding of Machine Learning fundamentals, Large Language Models, or prompt engineering concepts.
• Interest in ADAS, automated driving, perception systems, or mobility technologies.
• Good German and English skills.

Are you enthusiastic about new technologies and an innovative environment? 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: earliest start 06/01/2026

Duration: 6 months

Working hours: Full-time

You can find helpful tips on your application and the application process here.

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. Learn more here.