INTERNSHIP DETAILS

Master Thesis - Scenario Generation for Autonomous Driving with Generative Models (f/m/d) Master Thesis - Scenario Generation for Autonomous Driving with Generative Models (f/m/d) Master Thesis - Scenario Generation for Autonomous Driving with Generative Models (f/m/d)

CompanyVolkswagen AG
LocationMunich
Work ModeOn Site
PostedMarch 18, 2026
Internship Information
Core Responsibilities
The role involves supporting a PhD student in using Generative Models to create challenging scenarios for autonomous driving simulation and virtual verification. This includes summarizing research, conducting research with SOTA methods, and developing novel algorithmic ideas for generative simulation.
Internship Type
full time
Company Size
107292
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
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
About the 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

To support our "Scenario Generation" team, we are currently looking for a Master Thesis student, searching for new solutions to cope with the current challenges in autonomous driving specifically in the field of simulation and virtual verification. Aiming at developing future assisted and automated driving, a key challenge to enable self-driving vehicles are artificial algorithms and the related handling (gathering, storing, processing) of vehicle mass data for various situations and use-cases. 

WHAT YOU WILL DO

  • Support one of our PhD students in the field of Generative Models for generating challenging scenarios for Autonomous driving
  • Summarize research literature related to your research project
  • Conduct research with SOTA methods on Scenario Generation to evaluate existing AV planners and simulation frameworks working on large driving datasets
  • Develop algorithmic ideas addressing open research challenges related to your topic in the field of generative simulation and policies for closed loop simulation and novel scenario generation
  • Conduct comprehensive experiments on internal as well as public datasets. 

WHO YOU ARE

  • Enrolled student in computer science, automotive engineering, robotics, electrical engineering or similar field
  • Solid theoretical and practical experience in advanced machine learning and Generative Models – Diffusion models, Flow Matching etc. is highly expected. Experience in the field of Reinforcement learning or implementations of popular research projects in the field is a nice to have
  • Prior experience with simulation frameworks and open datasets is beneficial
  • Proficiency in Python and deep learning frameworks (PyTorch, scikit-learn, Pytorch-Geometric)
  • Structured and independent work, above-average commitment and flexibility is highly expected
  • Fluency in written and spoken English 

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 careers@cariad.technology - we are happy to support you.

Key Skills
Generative ModelsAutonomous DrivingSimulationVirtual VerificationMachine LearningDiffusion ModelsFlow MatchingReinforcement LearningPythonPyTorchScikit-learnPytorch-GeometricScenario GenerationAlgorithmic IdeasData Handling
Categories
EngineeringScience & ResearchSoftwareData & AnalyticsTransportation