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Niche semiconductor yield-analysis expertise and senior lead level reduce applicant competition despite metro and strong brand.
Highly domain-specific semiconductor process and yield expertise limits cross-industry transferability.
Requires deep semiconductor process, statistical analysis, and leadership, making filters stringent.
Lead identification, characterization, and quantification of key yield limiters within assigned fab modules using advanced data analytics and process knowledge.
Drive root cause investigations for yield excursions and develop actionable yield paretos to guide fab priorities and improvements.
Collaborate cross-functionally with Process Integration, Engineering, and other teams to provide data-driven guidance, influence corrective actions, and achieve sustainable yield improvements.
Work Experience Required: Not explicitly mentioned in the JD
Proficiency in Module based Data Analysis, Part Type Ownership Analysis, and new part setup activities.
Strong semiconductor process, defect, and metrology knowledge.
Ability to perform advanced statistical and data-mining techniques and use query languages and scripting for data extraction and automation.
Experienced in leading rigorous data-driven yield analysis and cross-functional collaboration in semiconductor manufacturing environments.
Able to integrate and apply AI-assisted tools responsibly to enhance research, analysis, and operational efficiency.
Strategic thinker capable of driving continuous yield improvement through innovation in data analytics, problem diagnosis, and process optimization.