Working Student Autosar Software Testing & Test Automation

Mercedes-Benz AG

Mercedes-Benz Plant Sindelfingen, Sindelfingen (Hybrid)

Job Type Part-time

Experience Student

Posted 1 day 10 hours ago

Hybrid Student Level

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.

Tasks

Performing measurements on HiL systems using Gliwa, including runtime and resource analysis of AUTOSAR software
Executing tests on test benches and analyzing the results
Supporting the development of test automation, including the test execution framework using CAPL and 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.

Qualifications

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, including Ethernet, FlexRay, CAN, CAN-FD, and LIN
Knowledge of Vector tools such as CANoe, CANalyzer, and DIVA, and 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 mark your documents as relevant for this application in the online form and observe the maximum file size of 5 MB.

Severely disabled applicants and applicants with equivalent status are welcome. The representative for severely disabled employees can be reached at sbv-sindelfingen@mercedes-benz.com.

People Solutions can help with questions about the application process at myhrservice@mercedes-benz.com or by phone at 0711/17-99000.