About this role
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
We offer you an exciting opportunity for your master thesis or for an internship in our AI Core team in the field of end-to-end AI for automated driving. End-to-end networks enable joint optimization of the driving stack, allowing training of different tasks (such as perception and planning) in one model. The aim of this master thesis / the internship is to assess and enhance end-to-end machine learning models for automated driving. Your focus will be optimizing network architectures for efficient single-stage training and closed-loop evaluation, while achieving compatibility with predictive world models.
The department works on software and machine learning models for automated driving in urban environments. Within this department, we are a team of ambitious and highly motivated experts in the field of self-driving vehicles working in an agile environment to advance the autonomous driving stack.
WHAT YOU WILL DO
- Research and assess open-source end-to-end neural networks for automated driving
- Employ pretrained foundational models to leverage their representational power within the end-to-end network
- Improve networks for single-stage training and optimize for closed-loop performance
- Adapt the end-to-end model to be compatible with a predictive world model
- Conduct extensive experiments on public and internal datasets
- Work closely with our machine learning experts and PhD students with the aim for a scientific contribution
WHO YOU ARE
- Very good academic performance
- Master student in Computer Science, Robotics, Electrical Engineering or similar
- Good general knowledge in the field of (self-)supervised learning, transformer-based architectures, and (vision) foundation models
- Very good knowledge of machine learning frameworks such as PyTorch and applied knowledge in software development and programming in Python and C++
- Structured and independent work, above-average commitment and flexibility
- Strong communication skills and analytical understanding
NICE TO KNOW
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Remote work options within Germany
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Duration: 3 - 6 months
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35 h/week
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Salary: 13,90 €/hour
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at [email protected] - we are happy to support you.
Other facts
About Volkswagen AG
The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati.
Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business.
Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility
Imprint & Legal: http://vw.de/legal-notice
DAT: http://vw.de/dat
What you'll do
- The role involves researching and assessing open-source end-to-end neural networks for automated driving, employing pretrained foundational models, and improving networks for single-stage training and closed-loop performance. A key focus is adapting the end-to-end model to be compatible with a predictive world model while conducting extensive experiments.
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