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Mercedes-Benz AG | Germany | 71xxx Sindelfingen | Practical training | Full time / Home office | Published since: 25.09.2026 on stepstone.de ♿️

Branch: Automotive, aeronautic, aer... Branch: Automotive, aeronautic, aerospace and ship building


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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: MER00048F3 Who we are Mercedes-Benz Group AG is one of the most successful automotive companies in the world. In Group Research & Mercedes-Benz Cars Development (RD), we are helping to shape the automotive generations of the future in the area of “Charging System”. In our team we form a central pillar of electric mobility at Mercedes-Benz: the charging experience for our future electric and plug-in hybrid vehicles. With the spirit of innovation, we seek and develop solutions that not only attract our customers, but also advance the sustainability goals of Mercedes-Benz. In order to ensure the success of these projects, we process a variety of interdisciplinary technical and economic tasks along the entire life cycle of our charging systems. These range from the development of new charging functions and the design of the customer journey (UI/UX) to the validation and safeguarding of charging functions, to serial support, fault analysis and continuous further development of existing charging systems. One focus is, among other things, on the analysis of vehicle, diagnostic and load data, the finding of causes for customer and field complaints and the derivation of suitable technical improvements. For this we work closely with development, software, testing, quality and aftersales areas as well as external partners. Your role: As part of the internship, you support our team in the analysis, validation and continuous development of modern charging systems for electric vehicles. Your tasks include flashing, reading and analysis of control units, evaluation of vehicle, diagnostic and load data, and execution of tests and the read-out of fault images for identifying causes and optimization potentials. In addition, you are working on the implementation and use of innovative AI tools to automate data analysis, accelerate development processes and improve the quality of our charging systems sustainably. Your tasks: Cooperation with development and lifecycle topics in the area of charging systems of future vehicle platforms

Testing and testing of vehicles, prototypes and charging infrastructure

Flashing, parameterizing and reading of control units

Analysis of vehicle, diagnostic and load data to evaluate loading functions and system behavior

Support in the cause analysis, error tracking and problem solving of customer, field and development complaints in the charging system

Assessment of charging sequences, error messages and system responses from customer perspective as well as deriving technical improvements to optimize the Charging Customer Experience

Creation and processing of data analyses and KPI evaluations

Support in the implementation and application of AI-based tools to increase efficiency in development, testing and error management

Support for serial support and continuous development of charging functions over the entire product life cycle

The activity can begin from November 2026.

Course in Computer Science, Data Science, Business Informatics, Electrical Engineering, Automotive Engineering, Mechatronics, Industrial Engineering or a comparable technical course

Secure knowledge of German and English in word and writing

Secure handling of MS Office, especially Excel and PowerPoint

First experiences in programming, data analysis, vehicle technology or testing are advantageous

Knowledge of Python, data analysis, AI applications or diagnostic systems are desirable

High self-motivation and initiative

Analytical and Structured Operation

Teamability and organisational and coordination competence

Enthusiasm for electromobility, software and future technologies

What we are looking for curiosity and willingness to learn; Openness for exploring new technologies, customer needs and product ideas

Responsibility and willingness to take responsibility for tasks and deliver high quality results

helpfulness and team spirit; Contribution to a positive working climate

linking creativity with analytical thinking and data-based working

Interest in digital products, networked services, future mobility experiences and AI-based innovation

What makes this position exciting This position offers you the opportunity to actively participate in the technical protection and further development of modern charging systems. You work directly on vehicles, control units and charging infrastructure, supported in tests, analyzes real vehicle, diagnostic and charging data, and adjust fault images specifically to identify causes and derive improvement measures. You will gain insights into serial support, error management and data-based optimization of charging functions and can also use or develop AI-based tools to make analysis and development processes more efficient. 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 Kantine, Café Business doctor Child care Parking space Good connection Accessibility

Location

ava 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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