Move Table Optimizer: Applied Artificial Intelligence for Wafer Test Optimization

This internship involves developing an applied Artificial Intelligence solution to automatically generate optimized wafer test movement configurations for semiconductor manufacturing. The role requires applying optimization and machine learning techniques to create an engine that ranks configurations and a web application for visualization. The project aims to reduce manual effort, improve test time, and enhance tester utilization through data-driven automation.