Engineer, Global Probe Modeling

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

1100 Micron SemiAsiaOP Pte Ltd in Singapore is seeking a Global Planning Modeling Engineer. This role serves as the central contact for manufacturing, focusing on optimizing processes and conducting financial analyses to drive cost-saving initiatives.

The ideal candidate will hold a Master’s degree in Industrial Engineering and possess strong operations research and data analysis skills. Proficiency in tools such as Python and Tableau is critical, as the role involves automation of planning processes and reporting.

Qualifications

• Master's degree in a relevant field.
• Operations Research skills including Linear Programming or Statistical Analysis.
• Experience with data analysis tools like Python or JMP.

Responsibilities

• Optimize capacity of installed equipment and lead optimization studies.
• Collaborate with partners to assess network capacity impacts.
• Complete financial analysis before capital equipment purchases.

Skills

Operations Research

Data analysis

Supply chain management

Project management

Education

Master’s degree in Industrial Engineering

Tools

Python

Tableau

Excel

Job description

Role Overview

Global Planning Modeling Engineer role is the central contact for the Manufacturing network, calculating and communicating capital impacts of process changes to senior leaders in manufacturing and R&D. This role works across the Operations Central Team, connecting many parts of the business to drive execution of manufacturing and cost‑saving processes, including Supply Chain, Finance, Engineering, Procurement, Production and Planning. The candidate will develop new tools to expedite, optimize, and refine planning and reporting processes used across the network.

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 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.

Qualifications

• Master’s degree in Industrial Engineering, Operations Research, Supply Chain or related field.
• Completion of a university‑level course, research project, internship, or thesis, or at least 6 months of experience involving the following:
• Operations Research skills in one of the following: Linear Programming, Queuing Theory, Statistical Analysis, or Theory of Constraints.
• Data analysis and statistical packages experience in one of the following: JMP, MINITAB, R, Python, Tableau, PL, or SQL.
• Knowledge of any of the production planning and inventory control strategies like BTO/BTT/BTF, Risk Pooling, EOQ, Lot Sizing or MRP.
• Supply chain skills in one of the following: lean manufacturing, customer service measures, or safety stock management.
• Exposure to any of the project management techniques like CPM, PERT, or scheduling.

EEO Statement

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.