Mercedes-Benz AG | Germany | Sindelfingen | Full time / Home office | Published since: 25.02.2025 on stepstone.de
Master's thesis in the field of Pre-Integration Automated Driving from April 2025
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: MER0003KCG
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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: MER0003KCG In the Pre-Integration Automated Driving, we are responsible for the E2E (end to end) integration of the automated driving functions at Mercedes-Benz, thereby shaping customer perception in the interaction of the EE components. An example of a current project is the integration of highly automated driving (L3). Our team consists of 14 highly motivated colleagues who are looking forward to your support. We attach great importance to communicating at eye level, directly and in regular exchange dates. In addition, it is important for us to deal constructively and honestly with each other. We work on cross-functional and with state of the art technologies. The master thesis can be prepared in one of the following subjects: Design and development of a new ADAS logging method using a Raspberry PI Concept and implementation of a comparability overview of the services of different software stands Functional integration of data-driven test instance into the live analysis tool AI application for data analysis The final topics will be discussed with the university, you and us.
Bachelor/Master studies in Systems Engineering, Computer Science, Electrical Engineering or a comparable degree programme Good programming knowledge in Python, C, C++ Knowledge of AI Application/Machine Learning Fun in team collaboration and solution definition Analytical, strategic and innovative thinking Additional information: Of course, without formalities, we are not. Please apply online only and add a CV to your application, current enrollment certificate, current grade, relevant certificates (maximum size of appendix 5 MB) and mark your application documents as ''relevant to this application' in the online form. Further information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact SBV-Sindelfingen@mercedes-benz.com to the site's severely disabled representative, who will be happy to support you in the further application process after your application. Please understand that we no longer accept paper applications and there is no claim to return. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).
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Company location
Location
![]() | Mercedes-Benz AG | |
Sindelfingen | ||
Germany |
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