Internship – AI Engineering & Analytics

The role focuses on enabling AI capabilities within Infineon’s manufacturing operations to drive cost reduction and efficiency improvements. By understanding business requirements and developing scalable solutions, the intern will help deploy AI models on cloud platforms to optimize production processes.

Your role

Key responsibilities in your new role

• AI-Driven Video Analysis & Computer Vision: Develop and implement computer vision models to analyze video feeds of manufacturing operations.

• Cycle-Time Tracking & Optimization: Automate cycle-time tracking and bottleneck identification for manual or semi-automated backend processes (e.g., wire bonding, die attach, or packaging setups).

• Layout Design & Optimization: Create algorithmic or generative scripts to auto-draw, modify, and optimize production floor layouts.

• Agentic AI Development: Design and prototype autonomous “agentic” systems capable of analyzing production logs, diagnosing anomalies, and recommending corrective actions to engineers.

Internship Learning Outcomes:

• Semiconductor Manufacturing Knowledge: Develop an understanding of the semiconductor manufacturing domain.

• Requirement Translation: Learn how to accurately translate technical requirements into technical specifications.

• Real-World AI Project Experience: Experience conducting AI projects in a real industrial work environment.

• GenAI Solution Building: Explore and build Generative AI solutions to solve existing operational pain points.

Your profile

Qualifications and skills to help you succeed

• Educational Background: Currently pursuing a Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or Industrial & Systems Engineering.

• Programming Proficiency: Strong proficiency in Python (Pandas, NumPy, OpenCV, PyTorch/TensorFlow).

• AI & Computer Vision Skills: Familiarity with object detection, action recognition, and processing video streams.

• Agentic AI & LLMs: Understanding of Large Language Models (LLMs), Prompt Engineering, and building autonomous AI agents/workflows.

• Optimization & CAD Experience: Experience with computational geometry, spatial optimization, or script-based CAD drawing (e.g., Python-OCC, AutoCAD API).

#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.

Lau Yu Qin