
Job description
#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
This role involves designing, developing, and evaluating AI workflows and tools, as well as contributing to the creation of reusable resources and supporting integration with larger platforms.
Key responsibilities in your new role
Qualifications And Skills To Help You Succeed
Mafalda Porto
#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?
Further links:
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.
Your Role
This role involves designing, developing, and evaluating AI workflows and tools, as well as contributing to the creation of reusable resources and supporting integration with larger platforms.
Key responsibilities in your new role
- Keep the overview: Work on AI projects from start to finish, designing and implementing tools and workflows, with guidance from the team, to create tested prototypes
- Reliable work: Building and evaluating workflows, designing prompts and tools, and creating robust error handling mechanisms, as well as developing evaluation setups to test the quality of the workflows
- Take responsibility: Developing and prototyping machine learning models for reliability and quality analytics, such as outlier detection and predictive models, and packaging the results in a reproducible manner
- Expand your horizons: Contribute to creating a reusable "starter kit" with templates and documentation, and support the integration of the AI workflows into larger platforms by producing clear interfaces, tests, and documentation
Qualifications And Skills To Help You Succeed
- Study field: Enrolled in a Master’s program (or advanced Bachelor) in Computer Science, Data Science, Physics, Electrical Engineering or similar
- Skills:
- Have strong Python skills (pandas/NumPy), and ideally first experience with FastAPI/Streamlit or building small services
- Comfortable with Git, code reviews, and writing maintainable code (tests are a plus)
- Understand basic ML concepts (train/test split, metrics, overfitting); PyTorch/scikit-learn experience is a plus
- Experience: First hands-on experience with LLMs/agents (prompting, tool calling, evaluation) and are motivated to go deeper
- Way of working: You can work independently on ambiguous tasks (clarify requirements, propose options, and drive to a result), and can collaborate with engineers and domain experts
- Language skills: You are fluent in English (German is a plus)
- CV in English
- Certificate of enrollment at university
- Latest grades transcript (not older than 6 months)
- High school report
- 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 programme. 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.
Mafalda Porto
#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?
Further links:
- Find out what we are looking for in your CV
- Find out how the student application process works with us
- Discover our student website
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.
Skills & technologies
PyTorchGitscikit-learnpandasEnglishStreamlitMachine LearningPythonNumPyFastAPILLMs
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