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 requires a bachelor’s or advanced degree in engineering or science, strong analytical and communication skills, and knowledge of SPC, DOE, root cause analysis, FMEA, and AI tools; semiconductor manufacturing experience and Lean Six Sigma certification are preferred. The posting also emphasizes cross-functional collaboration, continuous improvement, and responsible use of AI-enabled tools.
