DEIN NÄCHSTER SCHRITT
Working Student Autosar Software Testing & Test Automation
Beschreibung
Tätigkeitsbereich: Forschung & Entwicklung incl. Design
Fachabteilung: CDCC Testing & Problem Resolution Management
Gesellschaft: Mercedes-Benz AG
Standort: Sindelfingen
Startdatum: 18.01.2027
Veröffentlichungsdatum: 18.01.2027
Stellennummer: MER0004A26
Arbeitszeit: Részmunkaidő
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:
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Performing measurements on HiL systems using Gliwa (e.g. runtime and resource analysis of AUTOSAR software)
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Executing tests on our testbenches and analyzing the results
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Supporting the development of our test automation, including the test execution framework (CAPL, Python)
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Creating and maintaining test configurations for base software and component software tests
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Supporting the definition and creation of ASPICE-compatible processes
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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 as "relevant for this application" in the online form and observe the maximum file size of 5 MB.
You can find further information on the hiring criteriahere .
Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process.
People Solutions will be happy to help you with any questions you may have about the application process. You can reach us by email atmyhrservice@mercedes-benz.comor by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).
Benefits
Barrierefreiheit
Kantine, Café
Kinderbetreuung
Coaching
Betriebsarzt
Mobilitätsangebote
Mitarbeiter Events
Mitarbeiterrabatte möglich
Mitarbeiterbeteiligung möglich
Mitarbeiterhandy möglich
Essenszulagen
Gesundheitsmaßnahmen
Hybrides Arbeiten möglich
Betriebliche Altersversorgung
Parkplatz
Gute Anbindung
Flexible Arbeitszeit möglich
Kontakt
Barbara Krausz
Email: barbara.krausz@mercedes-benz.com
Bela-Barenyi-Str. 1 Tor 3
71063 Sindelfingen
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