Industrial Engineering Supervisor

Overview

Industrial Engineering Supervisor to lead cross-site initiatives in capacity modeling, factory scheduling, cycle-time reduction, and productivity improvement for front-end semiconductor manufacturing.

What you'll do

• Develop cross-site capacity models, utilization analyses, loading scenarios, and expansion planning studies.
• Drive cycle time reduction and WIP optimization using Factory Physics methodologies and bottleneck/constraint analysis.
• Build and maintain analytical tools for factory scheduling, output optimization, and operational decisions.
• Conduct operations research and statistical analyses to identify productivity improvement opportunities.
• Design predictive models, optimization algorithms, and AI-enabled analytical solutions for manufacturing.
• Validate and continuously improve scheduling logic, planning assumptions, and manufacturing data structures.
• Establish standardized industrial engineering practices and mentor junior industrial engineers.

What you'll need

• 7+ years of industrial engineering experience in semiconductor manufacturing or complex manufacturing environments.
• Bachelor's degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related discipline.
• SQL and Python proficiency.
• Power BI proficiency and statistical analysis tool proficiency.
• Experience building capacity models, productivity analyses, factory scheduling models, or optimization tools.
• Demonstrated success leading cross-functional improvement initiatives.
• Strong analytical, communication, and project leadership skills.

Details

• Required travel: 10% of the time.
• Shift type: 1st Shift/Days.