Associate Industrial Engineer

Responsibilities

• Support development and maintenance of cross-site capacity models, factory loadings, and utilization analyses.
• Assist with cycle time improvement initiatives through bottleneck analysis, WIP management, and line balancing activities.
• Analyze factory performance data and identify opportunities to increase throughput, productivity, and equipment utilization.
• Develop and automate reports, dashboards, and analytical tools using SQL, Python, Power BI, and other business intelligence tools.
• Support validation of manufacturing scheduling data, forecasting models, and factory planning assumptions.
• Participate in scenario analysis and what-if modeling to evaluate capacity, output, and resource requirements.
• Collaborate with Manufacturing, Process Engineering, Supply Chain, Operations, IT, and Equipment Engineering to support improvement projects.
• Document methodologies, analytical models, and standard work processes.
• Present findings and recommendations to technical and operations teams.
• Build knowledge of semiconductor manufacturing systems, Industrial Engineering methodologies, and factory scheduling concepts.
• Minimum Qualifications
• Bachelor's Degree in Industrial Engineering, Operations Research, Systems Engineering, Manufacturing Engineering, Data Analytics, or related engineering discipline.
• Preferred Qualifications
• Internship, co-op, or academic project experience in manufacturing, operations research, data analytics, or process optimization.
• Familiarity with SQL, Python, Power BI, Tableau, or similar analytical tools.
• Coursework in statistics, simulation, optimization, data science, or manufacturing systems.
• Exposure to semiconductor manufacturing or other high-volume manufacturing environments.
• Work Experience
• 0–2 years of Industrial Engineering or analytical experience.
• Demonstrated ability to work with large datasets and perform quantitative analysis.
• Strong problem-solving, communication, and collaboration skills.