Internship / Master Thesis – AI-based Multi-View Perception for Autonomous Driving in München bei CARIAD SE

At CARIAD, we're bundling and further expanding the Volkswagen Group's software expertise. We’re uniting over 6,500 global experts to build a scalable technology stack, including a software platform, unified electronic architecture and reliable connection to the automotive cloud. Our CARIDIANS are developing vehicle functions such as driver assistance systems, a next-generation infotainment platform, power electronics and charging technology, and digital services in and around the vehicle.

Our software can already be found in Volkswagen ID. models and will soon power Audi and Porsche vehicles with the E3 1.2 platform in 2024.

It's no easy task, but with experts like you, we can shape the future of mobility. Join us at CARIAD and be part of this exciting journey!

YOUR TEAM

For the department ADAS/AD Innovation we are looking for an intern / thesis student for the project "AI-based multi-view perception for autonomous driving". The 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 algorithms for sparse bird’s-eye-view perception
• Use machine learning networks to fuse data from multiple sensors
• Investigate, train and evaluate networks for different downstream tasks (e.g. 3D object detection, road topology estimation)
• Cooperate closely within the perception team to advance the self-driving stack

WHO YOU ARE

• Enrolled master´s student in the area of Computer Science, Electrical Engineering, Robotics or similar
• Applied knowledge in software development and programming in Python and C++
• Good general knowledge of designing, implementing, and training neural networks with common machine learning frameworks such as PyTorch and TensorRT
• Strong communication skills and analytical understanding

NICE TO KNOW

• Remote work options
• Duration: 6 months
• 35 hour working week
• If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology

YOUR RECRUITING CONTACT

Sandra Lehenmeier

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.