Senior​/Staff Engineer, Global Probe Modeling

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Summary Department Introduction The Operations Central Team drives manufacturing execution, capacity planning, and capital optimization across Micron’s global manufacturing network! The team partners closely with Supply Chain, Finance, Engineering, Procurement, Production, and Planning organizations to improve operational efficiency, enable cost savings, and support strategic business objectives through data-driven decision making.

As a Global Planning Modeling Engineer, you will serve as a key contact for the manufacturing network, evaluating and presenting the capital impacts of process and technology changes to Manufacturing and R&D leaders! This role is responsible for capacity modeling, capital planning, financial analysis, and process optimization.

• Optimize installed equipment capacity and lead site-level and tool-level studies to improve throughput and manufacturing efficiency.
• Manage, audit, and validate Probe capacity models and systems to determine network capital requirements.
• Perform financial analyses for capital equipment investments, including metrics optimization, process flexibility, capacity sharing, and equipment repurposing opportunities.
• Develop and manage network tool utilization strategies to improve capital efficiency and equipment effectiveness.
• Communicate capacity metrics, utilization strategies, and key performance indicators to partners, driving accountability and continuous improvement.
• Design, track, and present capital change proposals and recommendations to manufacturing leadership using reporting tools such as Tableau and formal presentations.
• Create and Build tools that improve capital efficiency, identify cost-reduction opportunities, and enhance manufacturing planning processes.
• Leverage AI tools, including Copilot, agents, and generative AI assistants, to automate planning and reporting activities, improve analysis, and enhance decision quality.

• Master's degree in Industrial Engineering, Operations Research, Supply Chain Management, or a related field.
• 1+ year of experience applying one of the following Operations Research methodologies:
  Linear Programming, Queuing Theory, Statistical Analysis, or Theory of Constraints.
• 1+ year of experience using one of the following data analytics or statistical tools:
  Python, SQL, Tableau, R, JMP, Minitab, or PL/SQL.
• 1+ year of experience working with one of the following Production Planning and Inventory Control concepts: BTO, BTT, BTF, Risk Pooling, EOQ, Lot Sizing, or MRP.
• 1+ year of experience applying one of the following Supply Chain or Project Management concepts:
  Lean Manufacturing, Customer Service Metrics, Safety Stock Management, CPM, PERT, or Production Scheduling.

• Master's degree in Industrial Engineering, Operations Research, Supply Chain Management, or a related field.
• 2+ year of experience applying one of the following Operations Research methodologies:
  Linear Programming, Queuing Theory, Statistical Analysis, or Theory of Constraints.
• 2+ year of experience using one of the following data analytics or statistical tools:
  Python, SQL, Tableau, R, JMP, Minitab, or PL/SQL.
• 2+ year of experience working with one of the following Production Planning and Inventory Control concepts: BTO, BTT, BTF, Risk Pooling, EOQ, Lot Sizing, or MRP.
• 2+ year of experience applying one of the following Supply Chain or Project Management concepts:
  Lean…