Staff Engineer, Global Probe Modeling

About the role

Micron is hiring a Staff Engineer, Global Probe Modeling, based at Fab 10A. As a member of the Operations Central Team, you act as a central contact for the Manufacturing network, calculating and communicating the capital impacts of process changes to senior leaders in manufacturing and R&D. You connect parts of the business to drive manufacturing execution and cost savings, including Supply Chain, Finance, Engineering, Procurement, Production and planning. The role also involves developing new tools to speed up planning and reporting, and applying AI tools to re-imagine planning and reporting workflows.

Key responsibilities

• Optimize capacity of installed equipment and lead site- and tool-level optimization studies for throughput enhancement.
• Work with partners to understand future tool and process roadmaps and calculate network capacity impacts of process changes.
• Manage, audit and validate probe capacity models and systems to determine network capital requirements.
• Complete financial analysis before new capital equipment is purchased, covering metrics optimization, process flexibility, capacity sharing and equipment repurposing.
• Manage network tool utilization strategies to optimize deployed capital.
• Communicate capacity metrics and strategies to stakeholders, monitor KPIs and drive accountability.
• Design, track and communicate capital change proposals to manufacturing senior leaders through reporting tools (e.g. Tableau) and formal presentations.
• Build and implement tools to audit manufacturing capital efficiency and identify cost reduction opportunities.
• Use AI tools (Copilot, no-code agents, generative-AI assistants) to automate planning and reporting tasks, summarize data and improve cycle time, in line with Micron's AI Governance Policy.
• Improve planning systems and models using both new methods (e.g. Python) and traditional ones (Excel, VBA).

Required profile

• Master's or bachelor's degree in industrial engineering, Operations Research, Supply Chain or a related field.
• At least 4 years of experience in the semiconductor industry.
• Strong analytical, logical and critical thinking skills, effective communication and collaboration across all levels, and a growth mindset.
• Demonstrated leadership and a track record of impact are highly desirable.

Required skills

• One of: linear programming, queuing theory, statistical analysis, theory of constraints.
• Data analysis or statistical skills such as JMP, Minitab, R, Python, Tableau, PL or SQL.
• Knowledge of production planning and inventory control strategies such as BTO/BTT/BTF, risk pooling, EOQ, lot sizing or MRP.
• Project management techniques such as CPM, PERT or scheduling.
• Supply chain skills such as lean manufacturing, customer service measures and safety stock management.
• Baseline digital fluency and role-appropriate AI literacy.