The department at Mercedes-Benz is responsible for the software development of the Zone Controller platform (complex control units with power distribution, I/O management, gateway functionality, applications for vehicle and comfort functions, etc.) for future MB.OS vehicle architectures. In order to improve the quality of the software, the company is seeking a Master student thesis to explore the potential of LLMs in this area.
You will master these tasks:
- Parse and normalize outputs from static analysis tools (e.g., QAC, Polyspace, Coverity, PC-lint)
- Design prompt engineering strategies to classify, prioritize, and explain violations using an LLM
- Prototype an LLM-based assistant that:
- Summarize large MISRA violation reports
- Suggests compliant fixes or structured deviation justifications
- Generates audit-ready summaries for ISO 26262 evidence
- Integrate the prototype into a simple CI/CD workflow (e.g., GitLab plugin, or Python pipeline)
- Document results for both technical thesis and potential internal PoC presentation
Table of Content
Summary
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Benefits
- Meal-Discounts
- Mobile Phone for Employees Possible
- Discounts for Employees Possible
- Annual Profit Share Possible
- Events for Employees
- Coaching
- Flextime Possible
- Hybrid Work Possible
- Health Benefits
- Company Retirement
- Mobility Offers
Requirements
- Master's degree program in Computer Science, Software Engineering, Mathematics or related fields
- Strong programming in Python
- Familiarity with C programming and coding standards (MISRA C knowledge is a plus, but not mandatory)
- Experience with NLP / LLMs (Hugging Face, OpenAI, LangChain, or similar frameworks)
- Basic knowledge of static code analysis tools (any exposure to QAC, Coverity, or Polyspace is an advantage)
- Interest in automotive software development and functional safety (ISO 26262)
- Ability to work independently on research-oriented problems
- Language: English C1, German is a bonus
Good to Have
- Knowledge of AUTOSAR architecture
- Understanding of software quality and compliance workflows
- Previous experience with ML/AI research projects
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Mercedes-Benz Group AG on tas-daimler.taleo.net to apply
For more information, kindly visit Mercedes-Benz scholarship webpage.
