Perform requirement analysis in close collaboration with the data science team and domain experts on the implementation and results of the image analysis to ensure compatibility with downstream activities Develop and implement a Deep Learning model to detect anomalies in wafer test data and identify dies affected by specific patterns Know-How about training Deep Learning models (preferably for Computer Vision tasks) using PyTorch Practical experience with Python programming and relevant AI libraries (PyTorch, Pandas/Polars, Numpy, ...) Experience with version control using Git Familiarity CI/CD tools e.g. Poetry, Jenkins (nice to have) Communicative character with joy in teamwork Fluent in English, German is a plus The KAI Competence Center for Automotive and Industrial Electronics was founded in 2006, is a 100% subsidiary of Infineon, and is located in the Villach Technology Park. The focus of our research is the reliability of power semiconductors in automotive and industrial applications. We are on a journey to create the best Infineon for everyone. 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.
