Senior/Staff Engineer, Global Probe Modeling

Description

The company makes memory and storage products for semiconductor markets. The operations central team runs manufacturing execution, capacity planning and capital optimization across the global manufacturing network, working with supply chain, finance, engineering, procurement, production and planning.

This is a senior or staff level Global Planning Modeling Engineer role. You will be the main contact for the manufacturing network and present how process and technology changes affect capital to manufacturing and R&D leaders.

Responsibilities

• Raise the use of installed equipment by leading site-level and tool-level studies that improve throughput and efficiency.
• Build, check and sign off on Probe capacity models and their systems to set the network's capital needs.
• Assess capital equipment investments financially, covering metrics, process flexibility, capacity sharing and equipment reuse.
• Shape and run tool utilization plans that make capital and equipment work harder.
• Share capacity figures, utilization plans and KPIs with partners, keeping owners accountable and pushing steady improvement.
• Prepare capital change proposals and recommendations for manufacturing leaders, using Tableau and formal presentations.
• Develop tools that raise capital efficiency, find cost reductions and improve manufacturing planning.
• Use AI tools such as Copilot, agents and generative AI assistants to automate planning and reporting, sharpen analysis and improve decisions.

Requirements

• A master's degree in Industrial Engineering, Operations Research, Supply Chain Management or a related field.
• At least 1 year applying one of: Linear Programming, Queuing Theory, Statistical Analysis or Theory of Constraints.
• At least 1 year using one of: Python, SQL, Tableau, R, JMP, Minitab or PL/SQL for data analytics or statistics.
• At least 1 year working with one of: BTO, BTT, BTF, Risk Pooling, EOQ, Lot Sizing or MRP.
• At least 1 year applying one of: Lean Manufacturing, Customer Service Metrics, Safety Stock Management, CPM, PERT or Production Scheduling.
• Preferred: a master's degree in Industrial Engineering, Operations Research, Supply Chain Management or a related field.
• Preferred: 2+ years applying one of: Linear Programming, Queuing Theory, Statistical Analysis or Theory of Constraints.
• Preferred: 2+ years using one of: Python, SQL, Tableau, R, JMP, Minitab or PL/SQL for data analytics or statistics.
• Preferred: 2+ years working with one of: BTO, BTT, BTF, Risk Pooling, EOQ, Lot Sizing or MRP.
• Preferred: 2+ years applying one of: Lean Manufacturing, Customer Service Metrics, Safety Stock Management, CPM, PERT or Production Scheduling.
• Preferred: experience building, or interest in building, Agentic AI workflows into current or future processes, including growing, partnering, designing and leading that work.

Conditions

The posting links to guidance on your right to work.

The company does not use child labor, follows applicable labor laws and standards, and never charges candidates recruitment fees.

Benefits

• A choice of medical, dental and vision plans in all locations.
• Income protection if you cannot work due to illness or injury.
• Paid family leave, a paid time-off program and paid holidays.
• Full benefit details are set out in the benefits guide.