Engineer, Global Probe Modeling

Micron Technology; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Micron Technology in Singapore is seeking a Global Planning Modeling Engineer to optimize manufacturing processes and capacity. In this role, you will manage capacity models, conduct financial analyses, and collaborate with various departments to drive efficiency. The ideal candidate should have a Master’s degree in Industrial Engineering or a related field and experience in operations research and data analysis. Proficiency in Python and tools like Tableau is essential. Join us to make a significant impact in our manufacturing processes.

Qualifications

• Master's degree in Industrial Engineering or a related field.
• 6 months experience in Operations Research or data analysis.
• Knowledge of Production Planning and Inventory Control strategies.

Responsibilities

• Optimize capacity of installed equipment and lead optimization studies.
• Collaborate on future tool and process roadmaps and assess capacity impacts.
• Manage and validate Probe capacity models and determine capital needs.

Skills

Operations Research skills

Data analysis

Supply Chain skills

Project Management techniques

Education

Master's degree in Industrial Engineering

Tools

Python

Tableau

Excel

Job description

Join an inclusive team passionate about using expertise to innovate for customers and partners. We build virtual reality experiences, neural network breakthroughs, and more, while committing to integrity, sustainability, and community impact.

As a Global Planning Modeling Engineer, you will be a central contact for the Manufacturing network, calculating and communicating capital impacts of process changes to senior leaders in manufacturing and R&D. You will work with Operations Central Team to connect many parts of the business—Supply Chain, Finance, Engineering, Procurement, Production and Planning—to drive execution of manufacturing and cost‑saving processes.

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.
• Perform financial analysis before new capital equipment is purchased, including metrics optimization, process flexibility, capacity sharing and equipment repurposing.
• 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 Python and traditional (Excel, VBA) methods to improve and automate tasks in planning systems/models.

Qualifications

• 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 the following:
  • 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.
  • Knowledge of Production Planning and Inventory Control strategies such as BTO/BTT/BTF, Risk Pooling, EOQ, Lot Sizing, or MRP.
  • Supply Chain skills in lean manufacturing, customer service measures, or safety stock management.
  • Exposure to Project Management techniques like CPM, PERT, or Scheduling.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.