Working student on-board vehicle data collection

Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Vehicle Data CollectionGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum:..5Veröffentlichungsdatum:..5Stellennummer:MER3NIPArbeitszeit:Teilzeit BewerbenAufgaben

In Mercedes-Benz Cars Research and Development (RD), we are shaping the future of the coming generations of Mercedes-Benz vehicles. We stand for the highest-quality, innovative products and aspire to be leaders in electromobility and vehicle software. That is why it is our daily business to work on the technologies and vehicles of tomorrow. Data, Al and connected vehicles are at the heart of our digital transformation with MB.OS at Mercedes Benz.

We, as Vehicle Data Collection (RD/CUD), are currently looking for highly motivated and talented working students to join us in redefining the way we collect and work with vehicle data.

As a working student in the on-board data collection team, you will contribute towards architecting future on-board data collection solutions for the MB.OS Car Computer which integrates multiple operating systems and runtime environments (AUTOSAR Classic, QNX, AUTOSAR Adaptive, Android Automotive OS).

You will support the platform architect in the following areas:

1. Evaluating off-the-shelf solutions for data collection on Android Automotive partition
2. Integrating vehicle protocols such as VDP, SOME/IP, SOVD on QNX and Android Automotive partitions
3. Designing the architecture for distributed data collection system with agents deployed on different partitions and processing elements in the MSoC
4. Developing automated test cases and simulation environment for data collection solutions

Selected candidate can begin their role starting in August 5.

Qualifikationen

You will be an ideal candidate if you bring at least three of the following skills:

5. A good understanding and hands-on experience with Android Framework and/or Native Services in AAOS
6. Hands-on experience with Android NDK and JNI for developing C++ based Framework components
7. Hands-on experience with Java or modern C++ ( onwards)
8. Hands-on experience with Linux or QNX profiling tools
9. A good understanding of AUTOSAR Adaptive architecture, specifically ara::com and SOME/IP
10. Hands-on experience with Vector MICROSAR adaptive components and DaVinci Developer Adaptive toolchain

As you will be part of a multi-cultural, geographically distributed team, effective communication skills, teamwork and business-fluent English are expected from the candidate.

Additional information:

Please find the criteria of employment .

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

BenefitsEssens­zulagenMit­arbeiter­handy möglichMit­arbeiter­rabatte möglichMit­arbeiter­beteili­gung möglichMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichHybrides Arbeiten möglichGesund­heits­maß­nahmenBetrieb­liche Alters­ver­sorgungMobilitäts­angebote

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