Senior Industrial Engineer

Responsibilities

• Lead development of cross-site capacity models, utilization analyses, loading scenarios, and expansion planning studies.
• Drive cycle time reduction and WIP optimization initiatives through Factory Physics methodologies, bottleneck analysis, and constraint management.
• Develop and maintain advanced analytical tools supporting factory scheduling, output optimization, and operational decision making.
• Perform operations research and statistical analyses to identify key output levers and productivity improvement opportunities.
• Design and implement predictive models, optimization algorithms, and AI-enabled analytical solutions for manufacturing applications.
• Lead validation and continuous improvement of scheduling logic, factory planning assumptions, and manufacturing data structures.
• Establish standard methodologies, governance processes, and best practices across multiple manufacturing sites.
• Mentor junior Industrial Engineers and provide technical leadership on analytical projects.
• Partner with site leadership, operations teams, supply chain, manufacturing engineering, and IT to drive strategic improvement initiatives.
• Present recommendations, scenario analyses, and business cases to management and senior leadership.
• Support development of long-range capacity plans and fab expansion scenarios.
• Minimum Qualifications
• 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.
• Preferred Qualifications
• Master's Degree in Industrial Engineering, Operations Research, Data Science, Analytics, or related field.
• Semiconductor wafer fabrication experience.
• Experience with Factory Physics, cycle time engineering, capacity planning, production scheduling, or manufacturing optimization.
• Experience with simulation, optimization modeling, machine learning, or operations research techniques.