Description
The role focuses on identifying and resolving process and equipment problems, leading equipment qualification, improving yield and cost, validating new process baselines, supporting SPC/FDC/RMS/APC, managing supplier quality, and maintaining MES data. It also involves defining processing equipment requirements, analyzing data, and applying AI-enabled tools to improve manufacturing efficiency and quality. The position requires a bachelor’s or advanced degree in Engineering or Science, strong analytical and communication skills, and knowledge of SPC, DOE, RCA, FMEA, and statistical data analysis; semiconductor manufacturing experience and MES familiarity are preferred.
