Data-Driven Supply Chain Optimization Engineer

Micron Technology; Boise (ID); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Micron Technology is seeking a results-driven Industrial Engineering/Operations Research professional to analyze demand, supply, and shipments, and to optimize inventory distribution across multiple designs. The role emphasizes data-driven planning, shortage analysis, and KPI validation.

Responsibilities include building risk-informed models, reviewing backlogs, and implementing planning logic that balances capacity and materials across fabs, while leveraging dashboards for leadership insight

Qualifications

• Master’s degree in Industrial Engineering, Operations Research, Supply Chain or a related field.
• Operations Research skills in Linear Programming, Queuing Theory, Statistical Analysis, or Theory of Constraints.
• Data analysis and statistical packages in JMP, MINITAB, R, Python, Tableau, PL, or SQL.
• Supply Chain Skills in lean manufacturing, Customer service measures, or safety stock management.

Responsibilities

• Develop and automate methodologies to analyze and resolve supply shortages through data mining and planning system insights.
• Optimize silicon supply plans using industrial engineering tools to ensure inventory distribution across all designs based on Micron strategy.
• Review and influence demand signals to improve supply fill rates and address shortages.
• Integrate Fab stability logic into planning systems and validate related dashboards and KPIs (e.g., Tableau) for performance monitoring.

Skills

Linear Programming

Queuing Theory

Statistical Analysis

Theory of Constraints

BTO/BTT/BTF

Risk Pooling

EOQ

Lot Sizing

MRP

CPM

PERT

Scheduling

R

Python

Tableau

SQL

JMP

MINITAB

LEAN Manufacturing

Customer Service Measures

Safety Stock Management

Education

Master’s degree in Industrial Engineering

Tools

Tableau

SQL

Job description

Micron Technology is seeking a results-driven Industrial Engineering/Operations Research professional to analyze demand, supply, and shipments, and to optimize inventory distribution across multiple designs. The role emphasizes data-driven planning, shortage analysis, and KPI validation.

Responsibilities include building risk-informed models, reviewing backlogs, and implementing planning logic that balances capacity and materials across fabs, while leveraging dashboards for leadership insight