Intern AI-supported Development Overall Vehicle Efficiency

THEORETICALLY THE BEST DECISION. PRACTICALLY TOO. SHARE YOUR PASSION. Only highly professional processes in dynamic teams produce innovative cutting-edge technology. But driving pleasure is realized by us from development to production above all with fun at work and enthusiasm for the joint project. That's why we give students not only the opportunity to listen, but also to contribute and think further. Our team at the BMW Group shapes the future of AI-supported development processes for energy efficiency, chassis, and overall vehicle. During your internship, you will work on innovative AI solutions that fundamentally change the handling of development knowledge and development data. In doing so, you support modern AI agents, Large Language Models (LLMs), and automated analysis processes for the vehicle development of the future.

• You actively help shape the future of AI-supported development processes in an innovative environment.
• You also gain insights into overall vehicle efficiency and simulation methods.
• You also support the development of AI agents based on modern large language models (LLMs) to support development and decision processes.
• You also support the use of modern agent frameworks and automation platforms such as n8n and connect development data via Model Context Protocol (MCP) interfaces.
• You also help develop intelligent workflows for the automated analysis of simulation, measurement and vehicle data.
• You also use your programming skills to help develop prototypes and production solutions for data-driven vehicle development.
• You also join interdisciplinary teams and add new ideas to current AI use cases.

• Studies in computer science, data science, electrical engineering, automotive engineering, mechanical engineering or a comparable degree program.
• Advanced Bachelor's or Master's studies with programming experience, preferably in Python.
• Interest in artificial intelligence, large language models (LLMs), agentic AI and data analysis.
• First experience with AI frameworks, API integrations or automation platforms (e.g. n8n, LangChain, OpenAI, Azure AI Services) is an advantage.
• Enthusiasm for modern software development and the use of AI in engineering.
• Analytical thinking, strong initiative and a proactive approach.
• Fluent German and good English skills.