Summer 2025 Intern

Job Description

We are looking for a highly motivated Summer Intern to apply commercial machine learning applications in a cutting-edge 24/7 wafer production fab. You will assist a primary engineer in tackling real-world challenges by analyzing large-scale image and data sets to detect and report defects, contributing to the optimization of semiconductor manufacturing processes.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Utilize a commercial machine learning application [Cognex] to analyze & flag wafer defects.
• Work closely with engineers to troubleshoot and resolve real production issues using data-driven insights.
• Process and interpret large amounts of image and data sets for defect classification and reporting, working with existing standard industrial processing/data flow architecture/infrastructure.
• Assist in optimizing automated metrology and inspection workflows.
• Document key findings and present recommendations to improve defect detection efficiency.

With this internship you will gain: 

• Hands-on experience in AI-driven defect inspection in semiconductor manufacturing.
• Exposure to real-world applications of machine learning in a high-tech fab.
• Ability to solve real problems in a leading-edge wafer fab with large-scale of data/image flow.
• Mentorship from industry professionals in metrology and automatic inspection.
• The opportunity to contribute to process improvement and defect reduction strategies.

Qualifications

REQUIRED

• Pursuing a Bachelor’s or Master’s degree in a STEM field (Engineering, Computer Science, Data Science, Physics, etc.) with a graduation date between December 2025-June 2026.

SKILLS

• Strong analytical skills and ability to work with complex datasets.
• Completed coursework in Artificial Intelligence (AI) or Machine Learning (ML).
• A fast learner who can quickly adapt to new environments and technologies.
• Ability to work in a fast-paced, high-tech manufacturing setting.