Working Student - Software Engineering for AI & Data Processing iv)

• Shape the future: Develop new tools or enhance and adapt existing ones by integrating AI/ML capabilities to improve data evaluation, workflow automation, and efficiency.
• Take responsibility: Take an active role in introducing AI-driven solutions into existing tools and workflows, while exploring and applying AI/ML methods to identify optimization potential
• Keep the overview: Document technical solutions and workflows to ensure transparency, scalability, and maintainability
• Teamwork is dreamwork: Collaborate with cross-functional teams to enhance end-to-end engineering processes

What you'll gain:

• Hands-on experience with real production and engineering data
• Insight into automotive radar systems
• Flexible working hours and valuable work experience, * 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.

• Study field: Computer Science, AI, Electrical Engineering, or a related field
• Programming: Experience in Python (required); experience with PowerShell or similar languages is a plus
• Knowledge: A solid understanding of AI/ML concepts and basic knowledge of data processing is a plus
• Experience: GitHub Copilot and VS Code is a plus; familiarity with version control systems, e.g., Git, and collaborative development is a plus
• Working Style: Self-motivated with a structured and proactive approach and able to work independently and collaborate effectively in a team
• Interests: A strong interest in applying AI, data analytics, and automation in real-world engineering environments
• Language Skills: Fluent in English. German is a plus

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

#WeAreIn to create tiny chips and big careers.

Are you ready to take the first step in your career? Let's shape the future together!

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

Are you passionate about technology and eager to apply AI to solve real-world engineering challenges? Join Infineon Technologies in Duisburg and support our Product and Test Engineering team in developing data-driven solutions for automotive radar systems.

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.