Working student on-board vehicle data collection

Job title: Working student on-board vehicle data collection

Company: Mercedes-Benz


Job description: Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.Job-ID: MER0003NIP
AufgabenIn 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:

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

Selected candidate can begin their role starting in August 2025.
ProfilYou will be an ideal candidate if you bring at least three of the following skills:

• A good understanding and hands-on experience with Android Framework and/or Native Services in AAOS
• Hands-on experience with Android NDK and JNI for developing C++ based Framework components
• Hands-on experience with Java or modern C++ (11 onwards)
• Hands-on experience with Linux or QNX profiling tools
• A good understanding of AUTOSAR Adaptive architecture, specifically ara::com and SOME/IP
• 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:It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as “relevant for this application” in the online form.Please find the criteria of employment .Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process:Please understand that we no longer accept paper applications and that there is no right to get your documents returned.If you have any questions regarding the application process, please contact HR Services by e-mail at or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).
Wir bieten

• Meal-Discounts
• Mobile Phone for Employees Possible
• Discounts for Employees Possible
• Annual Profit Share Possible
• Events for Employees
• Coaching
• Flextime Possible
• Hybrid Work Possible
• Health Benefits
• Company Retirement
• Mobility Offers

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Expected salary:

Location: Sindelfingen, Baden-Württemberg

Job date: Sat, 21 Jun 2025 07:20:19 GMT

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