Internship / Thesis - AI Camera Perception in Berlin bei CARIAD SE

At CARIAD, it’s our mission to transform automotive mobility for everyone, everywhere, making it safer, more sustainable, and more comfortable in every way. To deliver on that promise, we’re building a unified technology and software platform, including a vehicle OS and cloud platform, as well as a unified architecture. As a 100% subsidiary of the Volkswagen Group, we’re developing solutions for all of its brands, including Volkswagen, Audi, and Porsche, and will bring our software to over 40 million vehicles by 2030.

Is this an easy task? Not at all! To tackle such a huge challenge, we need a great team. And that’s where you come in. You’ll join more than 6,000 CARIDIANS already working on the latest vehicle features and functions like automated driving, state-of-the-art charging technology, as well as a new digital ecosystem. Together, we’re bringing sustainable change to one of the largest companies in the world.

YOUR TEAM

For the department "ADAS/AD Pre-Development" we are looking for an intern or thesis student for the project AI camera perception. 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 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. tracking, occupancy prediction)
• Cooperate closely within the perception team to advance the self-driving stack

WHO YOU ARE

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

NICE TO KNOW

• Internship / Thesis
  • 35-hour weeks
  • Duration: 3 to 6 months
• Remote work options
• If you have further questions about the candidate journey at CARIAD, talk to Cari, our CARIAD Chatbot. Can’t see it? Check your settings or visit our FAQ

YOUR RECRUITING CONTACT

Sandra Neumeier

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.