Description
The role focuses on monitoring and improving semiconductor manufacturing equipment, troubleshooting failures, leading root-cause analysis, supporting preventive and predictive maintenance, installing and qualifying equipment, and driving yield, quality, productivity, and cost improvements. It also involves analyzing manufacturing data, applying AI and machine learning to improve reliability and efficiency, ensuring compliance, and training technicians and stakeholders. The position requires a bachelor's degree in a relevant engineering or manufacturing field, experience with manufacturing or semiconductor equipment, knowledge of SPC, FMEA, DOE, RCA, and continuous improvement, and proficiency with AI-powered productivity tools.
