Intern ADAS Calibration of Vehicles

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: MER00044EK You will get insights into the tasks of our team in developing and securing testing and commissioning procedures for driver assistance systems of the next generation of vehicles. The focus is on radar, LiDAR and camera sensors that are required for modern driver assistance and automated driving functions. Together with our experts, you analyze requirements for the E/E operation of these systems and develop test cases to verify their functionality, diagnostic capability and calibratability. Support the protection of vehicle functions across the entire product production process – from first development vehicles to test carriers to series production. You evaluate test results, analyze fault images and contribute to the continuous improvement of testing and commissioning processes. A special focus is on the interaction of sensor technology, control units, diagnostic systems and vehicle architectures. The findings provide a direct contribution to the quality and maturity of modern driver assistance systems in vehicle development and production. These challenges include: Analysis of requirements for radar, LiDAR and camera sensors and their commissioning processes

Definition, specification and documentation of test cases to secure ADAS sensors

Planning, organisation and execution of tests on development, pre-production and testing vehicles

Support in the analysis of diagnostic functions, communication interfaces and fault images

Implementation and evaluation of measurement and test campaigns to evaluate sensor functionality

Cooperation in securing calibration and reference methods for driver assistance sensors

Analysis and preparation of test results and derivation of optimization measures

Development of evaluation tools and automation solutions for more efficient testing

Cooperation with development, production and supplier teams in the international environment

The activity can begin from September 2026 and is limited for 6 months.

Studies in the field of computer science, electrical engineering, vehicle engineering, mechatronics, technical cybernetics, physics or a comparable technical course

Good knowledge of German and English in word and writing

Safe handling of MS Office

Interest in driver assistance systems, automated driving and modern vehicle sensors

Basic knowledge in the field of testing / Jira / vehicle diagnosis

First knowledge of radar, LiDAR or camera systems

Basic knowledge of vehicle networks, diagnosis or embedded systems desirable

Ideally first experiences with Python, MATLAB or a comparable programming language

Analytical and structured thinking

Self-employed and targeted work

Driver's license 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. People Solutions 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 Parking space Business doctor Good connection Accessibility Child care Kantine, Café