Working Student Autosar Software Testing & Test Automation

Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:CDCC Testing & Problem Resolution Management Gesellschaft:Mercedes-Benz AG Standort:Mercedes-Benz Werk Sindelfingen, Sindelfingen Startdatum:18.01.2027 Veröffentlichungsdatum:05.11.2026 Stellennummer:MER0004A26 Arbeitszeit:Teilzeit Aufgaben Becoming part of Mercedes-Benz means finding your individual role and workspace to unleash your talents to the fullest. It means becoming your best self in a global automotive company that has the goal to build the most desirable cars in the world. Empowered by visionary colleagues who share the same pioneering spirit. Together for excellence. Our team is currently in a growth phase and will consist of up to 15 members across our international locations. We are looking for highly motivated individuals who support each other and bring a collaborative spirit. Our core values are trust, an open feedback culture, clear communication, and knowledge sharing. Our expertise lies in testing AUTOSAR base software and component software as well as in automating these tests within a continuous testing pipeline. We verify software on HiL systems and on our own test benches, covering everything from measurement and test execution to automated regression testing. As a working student in our team, you will play an active role in the following areas: * Performing measurements on HiL systems using Gliwa (e.g. runtime and resource analysis of AUTOSAR software) * Executing tests on our testbenches and analyzing the results * Supporting the development of our test automation, including the test execution framework (CAPL, Python) * Creating and maintaining test configurations for base software and component software tests * Supporting the definition and creation of ASPICE-compatible processes * Supporting development teams in applying ASPICE-compliant processes The activity can begin in mid-January 2027. Qualifikationen * Enrolled student in computer science, electrical engineering or a comparable technical field * Proficient in German and English, both written and spoken * Good programming skills in Python, C or C++; experience with CAPL is a strong advantage * Knowledge of AUTOSAR and automotive networks (Ethernet, FlexRay, CAN(-FD), LIN) * Knowledge of Vector tools (CANoe, CANalyzer, DIVA) and of measurement tools such as Gliwa is an advantage * Experience with HiL systems or test benches is an advantage * Knowledge of JIRA, Confluence or equivalent is an advantage * Professional experience in the automotive industry is an advantage * Good knowledge of MS Office * Good communication skills * Proactive and well-organized * Ability to think logically and analytically Additional Information: We look forward to receiving your online application, including a resume, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. A cover letter is optional. Please remember to mark your documents a