Micron Technology

Engineer, Global Probe Modeling

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 month ago

About the role

AI summarised

As a Global Probe Modeling Engineer at Micron, you will serve as a central contact for the manufacturing network, responsible for calculating and communicating the capital impacts of process changes to senior leaders. You will optimize equipment capacity, manage probe capacity models, conduct financial analysis for capital investments, and develop tools to improve planning and reporting processes across the global manufacturing network. This role requires strong analytical skills, experience with data analysis and modeling tools, and the ability to collaborate across functions including Supply Chain, Finance, Engineering, and Production.

IDMOnsite

Key Responsibilities

  • Optimize capacity of installed equipment and lead site- and tool-level optimization studies for throughput enhancement
  • Collaborate 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 including metrics optimization, process flexibility, capacity sharing and equipment repurpose
  • Manage network tool utilization strategies to optimize the company's deployed capital
  • Communicate capacity metrics and strategies to all relevant stakeholders, driving accountability and monitoring key performance indicators plan over plan
  • Design, track and communicate capital change proposals to manufacturing senior leaders through reporting tools (e.g. Tableau) and formal presentation
  • Build and implement tools to audit manufacturing capital efficiency and identify cost reduction opportunities across the company
  • Manage and communicate improvement opportunities and implementation plans to all relevant levels and functions in manufacturing
  • Utilize new (e.g. Python) and traditional (Excel, VBA) methods to improve and automate tasks in planning systems/models

Requirements

  • Master's degree in Industrial Engineering, Operations Research, Supply Chain or a related field
  • Completion of a university-level course, research project, internship, or thesis or 6 months of experience involving Operations Research skills in one of the following: Linear Programming, Queuing Theory, Statistical Analysis, or Theory of Constraints
  • Completion of a university-level course, research project, internship, or thesis or 6 months of experience involving Data analysis and Statistical packages in one of the following: JMP, MINITAB, R, Python, Tableau, PL, or SQL
  • Completion of a university-level course, research project, internship, or thesis or 6 months of experience involving Knowledge of any of the Production Planning and Inventory Control Strategies like BTO/BTT/BTF, Risk Pooling, EOQ, Lot Sizing or MRP
  • Completion of a university-level course, research project, internship, or thesis or 6 months of experience involving Supply Chain Skills in one of the following: lean manufacturing, Customer service measures, or safety stock management
  • Completion of a university-level course, research project, internship, or thesis or 6 months of experience involving Exposure to any of the Project Management techniques like CPM, PERT or Scheduling