This project focuses on Electrical Failure Analysis (EFA) to identify failure sources and establish correlations between failure modes and upstream assembly processes. The project will also involve the development of an automation solution to generate commonality reports by integrating Electrical Failure Analysis data with upstream manufacturing data. Currently, these datasets are extracted separately from Snowflake queries and manually consolidated for deviation lot analysis. The proposed solution aims to streamline data integration, improve analysis efficiency, and enhance data accuracy for QDR (Quality deviation report) investigations.

• Gain hands‑on experience in Electrical Failure Analysis (EFA) and develop understanding of backend semiconductor products.
• Develop knowledge of assembly process flow and quality deviation analysis.
• Exposure to advanced failure analysis tools and their application...