Thesis End-to-End Autonomous Driving

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 End-to-End Autonomous Driving and Predevelopment team at BMW Group drives forward state-of-the-art neural network architectures for autonomous driving, including multi-modal perception backbones, foundation models, and sparse representations. As an intern, you support us in developing novel strategies for selecting representative datasets and in testing diverse training approaches to use these datasets effectively.

• You collaborate closely with the BMW End-to-End Autonomous Driving and Predevelopment team.
• Furthermore, you support the exploration of state-of-the-art techniques and architectures in end-to-end autonomous driving, vision-language models, and embodied AI.
• In addition, you get the opportunity to experience your research findings in real vehicle demos.
• Moreover, you have access to a large compute cluster to carry out your research.
• Furthermore, you have the opportunity to publish your results together with your supervisors.
• Please note that your thesis must be supervised by a university throughout the project.

• Studies in computer science, robotics, or a related field with a focus on machine learning.
• Excellent knowledge of machine learning and computer vision.
• Strong programming skills.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Good English skills.