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Mercedes-Benz AG | Germany | 71xxx Sindelfingen | Temporary contract | Part time - flexible / Home office | Published since: 10.11.2025 on stepstone.de

Working Student GenAI & Systems Engineering Governance

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003UZT

Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003UZT In the Mercedes-Benz Cars Development (RD), we design the automotive generations of the future. We place particular emphasis on innovative products with the highest quality and efficient development processes. Our goal is to secure the technology leadership of Mercedes-Benz Group AG in the future. As part of the development of Body & Comfort controllers, functions and systems, our team is responsible for the methodological management and provision of the system and SW infrastructure in the Center. The high number of different functions and systems requires, in addition to the definition of standardized software technologies and tool environments, also to define, monitor and develop specifications regarding the development processes. The implementation of Generative AI Usecases plays a central role here. These challenges include: Development and Implementation of Generative AI Usecases to Support Governance for Model Based Systems Engineering

Adaptation and use of existing software solutions in the field of Generative AI

Supporting colleagues in the governance of model based systems engineering

Protocol management and documentation of key decision-makers and preparation and preparation of the content

Investigation of the applicability and continuity of existing toolchains and processes with regard to Generative AI

Interviews of the relevant stakeholders and detailing the existing SE processes in the IST and SOLL in a process tool (Signavio)

Insight into requirements and systems engineering as well as the associated processes and tools and active contribution to their sustainability

The activity can begin from December 2025.

Course of Engineering, Systems Engineering, Electrical and Information Technology, Business Informatics or a Related Area

Strong knowledge and ideally practical experience in the field of Generative AI

Knowledge of programming languages such as python and related technologies to make software adjustments

Good organizational skills, independent work and joy in contact with employees

Experience in project coordination and organisation

Embossed Analytical Skills

Fit in Microsoft Office.

Ideally knowledge of process modeling methods and first experience with appropriate tools

Very good knowledge of German and English in word and writing

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with an indication of the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (SBV-Sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers

Company location

Location

ava Mercedes-Benz AG
71063  Sindelfingen
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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