Master Thesis - AI usage in CI/CD/CT Pipelines for Compute Platforms in Automotive Environment (m/f/d)

It's time to reshape automotive mobility for everyone!
At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We're uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences.
Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.
Join us at CARIAD and become part of an exciting journey to shape the future of mobility!

YOUR TEAM

Our "Compute Platform Steering" team is looking for a Master thesis student to support us in leading the evolution to the most secure mobility products within the Compute Platform.

Not only are we developing the next generations of the most powerful automotive ECU's and Software, but also the technologies and methods to secure our products from the world outside.You will work together with some of the best automotive security specialists within our company and develop AI based methods to strengthen the verification process from the code till the car.

Are you interested in sffensive-Security as well as AI technologies? Then join us in bringing mobility to the next level.

WHAT YOU WILL DO

• Research and Develop in the area of security methods (Whitebox/Blackbox Fuzzing with LLM/AI)
• Specification and Implementation of identified Methos into a CI/CD/CT Pipeline
• Automatic generation of Testcases, Test procedure, Testreports and Product Quality Matrix
• Analysis for automatic Mock Szenarios
• Analysis of implementation on Time effects for Test-run, efficiency and coverage

WHO YOU ARE

• Enrolled student in the field of Computer Science, Electrical Engineering, or equivalent field
• Knowledge in Fuzzing
• Proficient in Python
• Knowledge of automotive engineering fundamentals, AFL and LibFuzzer is a plus
• Team-oriented, growth-minded, goal-focused, and communicative
• Fluent in English

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