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: MER00040XH Our area shapes the future of mobility at Mercedes-Benz by developing autonomous and automated driving systems for the motorway and the city area. Our teams are inspired by current trends, find the best solutions for the customer and develop the latest and best core technologies to meet this challenge. Become part of an agile, innovative team that will make our vehicles even safer and more independent. We are looking for an talentedn, activen and dedicatedn colleague, who is working as a studentin to develop a support chatbot. To enable ADAS systems to be developed efficiently, many information from development vehicles, experimental fleets, software-in-the-loop and hardware-in-the-loop systems must be recorded, processed, visualized and analyzed. In this case, different structures and data flows in the vehicle, on-premise servers, in the cloud and in the cooperation partner must be perfectly matched to each other so that the respective HW and SW solutions match each other and can be used efficiently for the ADAS developers. As a working studentin for the development of a support chatbot, you are responsible for the technical design and implementation of an AI-based chatbot solution. This is intended to take up incoming customer requests fully automated, explain and answer them if necessary. The chatbot is intended to process project-specific knowledge via common methods (RAG/Training) and use it with customers in the chat dialogue. You develop a completely cloud-based software solution with common technical methods such as docker and container orchestration and use state-of-the-art development methods of testing and quality assurance during the development. Then roll out the project for productive use in the project. The activity can begin from June 2026.

Professional qualifications: Active or completed studies (BSc. or MSc.) in computer science, software engineering or similar course of study focusing on software development

Experience with the programming language Python (especially in connection with machine learning and microservices)

Knowledge of how to use Large Language Models, RAG, and training of LLMs

Development and programmatic use REST APIs

Knowledge of Docker handling: Create container and orchestration

Basic knowledge of Linux operating system: Terminal, scripts, package management

Experience with version control (Git)

Personal competencies: High level of initiative, self-employment, commitment and systematic thinking

Excellent communication and team working skills as part of a global team in a multicultural environment

Enthusiasm for solving technical problems in the team

Willingness to learn and share knowledge

questioning openness existing to enable even better solutions

Ability to create structure in complex areas with many distributed responsibilities

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).

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