OCT Modeling Engineer: Optimize Capacity & Capital

Micron; Singapore; On-site; SGD 130,000 - 190,000; Full time

Job summary

Micron Technology, Inc. is seeking an OCT Modeling Engineer to serve as the primary contact for the manufacturing network.

You will assess and report the capital impact of process changes to senior leaders in Manufacturing and R&D, coordinating across supply chain, finance, engineering, procurement, production and planning. AI-driven tools will be used to develop novel planning and reporting capabilities across the network.

Qualifications

• Bachelor’s degree or equivalent in engineering, CS, or related field.
• MBA or Master’s degree desirable.
• Experience turning vague problems into structured solutions in a multi-functional environment.
• Experience analyzing data, drawing conclusions, and reporting results across technical and non-technical groups.

Responsibilities

• Lead network tool utilization strategies and benchmark performance for capital optimization.
• Communicate improvement and implementation plans across Manufacturing functions.
• Optimize install equipment capacity and lead tool-level throughput studies.
• Collaborate with partners to understand future tool and process roadmaps.
• Assess network capacity impacts of process changes.
• Automate metrics optimization and capacity sharing to improve financial analyses of capital equipment.
• Communicate clearly in fluid, ambiguous conditions.
• Craft reports and benchmarks to meet department goals.

Skills

Analytical thinking

Cross-functional collaboration

Independent work

Data interpretation

Education

Bachelor’s degree in Engineering, CS, or related

MBA or Master’s degree desirable

Tools

AI tools

Capital planning tools

Job description

Micron Technology, Inc. is seeking an OCT Modeling Engineer to serve as the primary contact for the manufacturing network.

You will assess and report the capital impact of process changes to senior leaders in Manufacturing and R&D, coordinating across supply chain, finance, engineering, procurement, production and planning. AI-driven tools will be used to develop novel planning and reporting capabilities across the network.