Mercedes-Benz AG | Germany | 71xxx Sindelfingen | Practical training | Full time / Home office | Published since: 21.11.2025 on stepstone.de
Intern Development of Innovative Algorithms Vehicle Generations
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: MER0003V3J
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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: MER0003V3J In the Mercedes-Benz Cars development, we shape the mobility of the future. This means that we mean innovative products with the highest quality as well as efficient development methods and processes for their development. In the EE-Systems team, we are responsible for developing cross-component vehicle functions. The development of our systems offers a challenging, exciting and innovative work area. An intensive work on the product, as well as cooperation with our internal partners, as well as suppliers is the core for our success. In your internship, you will support a closely working team in developing innovative algorithms in the In-Cabin Sensing and Collision Detection field for our new vehicle generations. Your tasks in detail: Recording and analysis of measurement data Optimization of measurement methodology Documentation of experimental results and procedures Development of algorithms for the evaluation and classification of measurement data Development of a tool landscape for data acquisition, visualization and further processing of recorded data The activity can start from January 2026.
Studies in the field of mechatronics / computer science / electrical engineering or a comparable degree course Secure knowledge of German and English in word and writing Knowledge in any programming language Basic knowledge of Matlab, or Python, or C/C++ are advantageous Creativity, team skills, motivation and self-control driving licence class B Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate 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 Kantine, Café Business doctor Child care Parking space Good connection Accessibility
Location
![]() | 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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