Working Student – Automotive AI (f/m/div)

You can find the complete job postig here.

#WeAreIn to create tiny chips and big careers. The future won’t wait… why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you’ll be part of something real – real projects, real impact, and real opportunities to grow. Are you in?

Your Role

Key responsibilities in your new role:

As “Working Student – Automotive AI (f/m/div)” you will support the development of innovative Artificial Intelligence and software solutions for the automotive domain.
Your key areas of focus may include: device driver development and automated code generation as well as the predictive maintenance or other related topics.

• Reliable work: Develop high-quality software, perform rigorous testing, and maintain clear documentation
• Thorough planning: Plan and set up experiments to drive innovation and continuous improvement
• Data is everything: Develop and test AI models tailored to automotive use cases
• Shape the future: Design and execute experiments to validate and refine new approaches

Your Profile

Qualifications and skills to help you succeed:

You bring a strong technical foundation and a proactive, structured approach to problem-solving. You are motivated to apply AI and software skills to real-world automotive challenges.

• Study field: Bachelor’s or Master’s program in Computer Science, Information Systems Engineering, or a related STEM field (e.g. Electrical Engineering, Data Science, etc.)
• Skills: Profound programming skills in at least one relevant language, such as: C, C++, Python, TypeScript
• Education: Solid foundation in machine learning (ML), deep learning (DL), and/or large language models, including:
  • Theoretical knowledge of ML/DL fundamentals (e.g. neural networks, optimization techniques, etc.)
  • Hands-on experience with popular ML/DL frameworks and libraries (e.g.TensorFlow, PyTorch, scikit-learn, etc.)
• Experience: Ideally experience with embedded software engineering and familiarity with cloud computing technologies

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Latest grades transcript (not older than 6 months)
• High school report

Important information:

• Working part-time: The focus is on studies. That’s why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
• Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree program. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months.
• You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.

Wir sind auf der Suche nach Studierenden aus folgenden Fakultäten: Elektrotechnik und Informationstechnik, Produktionstechnik

Arbeitszeit: Teilzeit

Stellentyp: Nebentätigkeit/Werksstudierende*r

Bereich: Elektro, Feinmechanik, Optik, Medizintechnik, Internet, Informationstechnologie, Telekommunikation