Extracurricular Internship: Python and AI Development Engineer (f/m/div)

#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 In this extracurricular internship, you will be part of our Product and Test Engineering team, contributing to innovative projects at the intersection of artificial intelligence (AI), data analytics, test engineering, and workflow automation. You'll help develop smart solutions that improve productivity, reduce manual effort, and support data-driven decision-making. Artificial Intelligence & Engineering Productivity:  Develop AI-powered tools and intelligent assistants that support technical reporting, requirements analysis, code reviews, engineering decision-making, and fast access to technical knowledge  Workflow Automation & Knowledge Management:  Create automation solutions that streamline documentation, communication, and knowledge management activities  Test Engineering & Quality Assurance:  Support the development of AI-based systems for test generation, test optimization, regression testing, and validation activities to improve product quality and development efficiency Data Engineering & Test Data Automation:  Design and implement automated pipelines for extracting, standardizing, and processing semiconductor test data from multiple Automated Test Equipment (ATE) platforms Data Analytics & Validation Methodologies: Develop analytical workflows to evaluate product yield, performance, and validation results using structured and reusable methodologies Traceability & Manufacturing Insights: Enhance data traceability down to device and lot level through the integration of manufacturing and validation metadata Your profile Qualifications and skills to help you succeed  You recently graduated and are eager to apply your analytical mindset in a practical environment. You are proactive, curious, and enthusiastic about learning new technologies, tools, and engineering concepts. Education: Degree in Computer Science, Artificial Intelligence, Data Science, Electronics Engineering, Information Engineering, or a related field Technical Skills: Knowledge of Python scripting for automation, data processing, and problem-solving tasks A I & Emerging Technologies Knowledge:  Understanding of fundamental AI concepts, including generative AI, prompt engineering, and AI agents Analytical & Problem-Solving Mindset:  Curiosity for solving complex technical challenges using data and automation Additional Technical Exposure: Experience with data analytics, data visualization tools, software development, AI-assisted development tools (e.g., GitHub Copilot), and basic knowledge of CI/CD are considered a plus Languages:  Good written and verbal communication skills in English Please apply with your CV in English so we can get to know you better! #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? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.  Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Contact Person: Ana Pacheco