Student for Master's Thesis AI-Based Regression Test generation

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00046MM Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. Our department is responsible for the development of functional software for electric drives, system integration of all software components of the electric drivetrain, as well as testing including Flashen-over-the-Air (FOTA). In the System Integration eDrive team, we ensure the quality and reliability of the software for electrical drive systems. We develop innovative methods for securing complex software functions and actively shape the future test strategy for electromobility. Artificial intelligence opens up new possibilities in automated software backup. As part of this internship / this thesis, you will explore and develop innovative approaches to AI-based generation of regression tests for system integration of electrical drive systems. The aim is to reduce the manual effort in the production of the test, to increase the test coverage and to improve the efficiency of the fuse sustainably. Driven by our enthusiasm for innovation, the joy of cooperation and a strong team spirit, we promote mutual support, celebrate joint successes and live active networking. These challenges include: Analysis of existing test cases, test specifications and software requirements in the eDrive environment Development of concepts for AI-based generation of regression tests Evaluation and application of modern AI/LLM technologies for automated production of test cases Development of Python-based prototypes and automation tools Implementation of feasibility studies and evaluation of the generated test cases in terms of quality and test coverage Integration of the developed approaches into existing test and development processes Visualization and evaluation of relevant key figures using dashboards Presentation of results to specialist departments and project partners

What awaits you with us: Working on a highly topical topic of the future at the interface between electromobility and artificial intelligence A dedicated team with high innovative strength and strong cohesion Deep insights into software development and system integration of modern electric drive systems Possibility to co-design new test methods and development processes Responsible work with space for creative ideas Access to modern development and test environments Professional support and support in a final work The activity can begin from November 2026. The final topics will be discussed with the university, you and us.

Course in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electrical Engineering, Information Technology or a comparable course Interest in software quality, test automation and AI applications First experiences in Python or comparable programming languages Basic knowledge of Machine Learning, Generative AI or Large Language Models Knowledge of data analysis and data processing desirable Experiences with version management systems (e.g. Git) of advantage Secure knowledge of German and English in word and writing Safe handling of MS Office Analytical and Structured Operation Self-employment and high self-initiative Communication strength and team capacity

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and to observe the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café