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Strong Tier-1 employer but niche semiconductor and senior requirements produce moderate competition.
Requires semiconductor manufacturing and industrial engineering/operations-research experience, limiting cross-industry transferability.
Explicit 7+ years, semiconductor manufacturing experience, and mandatory SQL/Python/PowerBI make filters strict.
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Lead development and validation of cross-site manufacturing capacity models, factory scheduling tools, and expansion planning studies to maximize output across multiple semiconductor manufacturing sites.
Drive cycle time reduction, WIP optimization, and productivity improvements using operations research, Factory Physics, and AI-enabled analytical solutions.
Establish standardized Industrial Engineering methodologies and governance processes while mentoring technical teams and collaborating with cross-functional leadership.
Bachelor's Degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related engineering discipline.
Proficiency in SQL, Python, Power BI, and statistical analysis tools.
7+ years of Industrial Engineering experience in semiconductor manufacturing or complex manufacturing environments.
Work Experience Required: 7+ years in Industrial Engineering with demonstrated experience in capacity modeling, factory scheduling, productivity analysis, and cross-functional improvement initiatives.
Experienced senior Industrial Engineer with a strong background in semiconductor wafer fabrication or similar complex manufacturing environments.
Proficient in advanced analytics, operations research, and the application of Factory Physics and optimization techniques for manufacturing process improvements.
Capable of leading strategic, cross-site initiatives while working with globally distributed teams and collaborating with senior leadership and IT functions.