Deine Zukunft als Internship - Self-Supervised Learning for Autonomous Driving Perception (m/f/d) bei CARIAD SE in Ingolstadt – Jetzt bewerben

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

Our "Onboard Fusion" Team is working on developing perception and sensor fusion algorithms for automated driving. We create perception models with data coming from different central modalities. In doing so, we process and integrate the different data to create a joined output. Our mission is to bring advanced computer vision and machine learning systems to challenging perception problems such as multi-sensor semantic segmentation to our customer cars.

We are looking for an intern to join us in bringing mobility within the VW group to the next level!

WHAT YOU WILL DO

• Develop key algorithms for Automated Driving Perception alongside the research members of the team.
• Investigate and present research findings at top-tier conferences on computer vision and Autonomous Driving.
• Collaborate with engineers and members across the brands in day to day tasks while getting exposure in the world of autonomous driving.

WHO YOU ARE

• Bachelor's/ Master's degree in computer science, machine learning, computer vision or other equivalent field.
• Good to excellent academic records.
• Knowledge in machine learning.
• Experience with at least one of the following: self/semi-supervised learning, knowledge distillation, or neural radiance fields would be a big plus.
• Fluent in English (verbal and written).

NICE TO KNOW

• Duration: 3 to 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

Carmen Dörwald

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.