Internship / Master Thesis - Foundation Models for Automated Driving (m/f/d)

We are CARIAD, the automotive software company of the Volkswagen Group.Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche –supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey!

YOUR TEAM

To support our "ADAS/AD Predevelopment" team, we are currently looking for an intern or thesis student. Our department works on software for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of environment perception for self-driving vehicles.

WHAT YOU WILL DO

• Research and assess novel methods for foundation models (Vision-Language and Self-Supervised Models) enhancing the perception and/or planning task in Automated Driving
• Investigate, train and evaluate neural networks for different downstream tasks (i.e. 3D object detection)
• Develop algorithmic ideas addressing open research challenges related to your topic
• Cooperate closely within the ADAS team to advance the self-driving stack

WHO YOU ARE

• Enrolled student in computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment)
• Profound knowledge in machine learning, especially deep neural networks 
• Proficiency in Python and deep learning frameworks (PyTorch, OpenCV, scikit-learn)
• Experience in perception tasks like object detection, BEV detection would be beneficial
• Strong communication skills and analytical understanding

NICE TO KNOW

• Remote work options within Germany
• Duration: 3 to 6 months
• 35-hour week

At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.