Intern Sensor Clearance Autonomous Driving (Compulsory or Combination Internship)

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: MER0003UB8 Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG and Mercedes-Benz Cars and Mercedes-Benz Vans, the vehicle manufacturer is one of the largest and most successful suppliers of premium cars. In our department we shape the future of autonomous driving. Our focus is on developing state-of-the-art ADAS components – from sensor technology to intelligent cleaning systems. Our team is responsible for cleaning, holding, heating and pre-conditioning of the sensors to ensure their reliable function in all weather conditions. This enables a highly available and comfortable level 3 ride experience. Our project team consists of 9 dedicated team members. We cover all relevant development roles and work closely with the areas of software, system architecture and design. In a hybrid, agile setup – with test stands at another location – we rely on open communication, team spirit and flexibility. Together, we develop solutions that allow our customers to transfer the driving task to the vehicle more frequently and longer – for maximum comfort and safety. As part of our team, you support the development of innovative solutions to ensure the availability of sensors for autonomous driving and play a central role in developing innovative test strategies for sensor-free maintenance systems. Your tasks include: Support for the preparation and follow-up of project and team meetings

Creation of meeting minutes

Construction and maintenance of project plans and definition and follow-up of milestones

Creation and management of project tickets

Support in the integration and testing of our systems at test benches and in the vehicle

Participation in implementing a backend data analysis

Active participation of agile development processes in a hybrid working environment

The activity can begin from April 2026.

Course with technical background, e.g. in (economic) engineering, project management or a comparable course of study

Secure knowledge of German and English in word and writing

Secure handling of MS-Office, Confluence, Jira

knowledge of at least one programming language (such as Python or Java)

Safe handling of AI tools such as chat GPT or MS-Copilot

Previous knowledge of vehicle diagnosis/crosslinking helpful, but not required for all themes, as well as the willingness to learn new tools

High affinity for driver assistance systems

Teamability, communication strength and flexibility in a hybrid, agile working environment

High commitment, independent working and strong analytical and strategic thinking

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