Drimva

Micron

Central Planning Modeling Engineer

Boise, ID - Main Site · Full-time · Posted Oct 28, 2026

Experience
5+ years in large-dataset analysis and 5+ years building and maintaining cross-functional partnerships.
Education
Bachelor's degree in Engineering, Computer Science, Supply Chain, Operations Research, Finance, Economics, Business Analytics, or a related quantitative field.

About the job

Models manufacturing network capacity and capital plans, using analytics and AI-driven approaches to optimize equipment utilization, investment decisions, and operational efficiency.

What you'll do

  • Develop network utilization strategies and assess capacity, capital, and operational impacts of changes.
  • Lead tool- and site-level capacity optimization studies and evaluate process and equipment roadmaps with cross-functional teams.
  • Build planning models, tools, and reporting solutions; communicate actionable recommendations to stakeholders.

What they ask for

  • Bachelor's degree in a quantitative field listed in the posting or a related quantitative field.
  • 5+ years experience analyzing large datasets, generating business insights, and communicating recommendations.
  • 5+ years experience building and maintaining cross-functional partnerships.
  • Proficiency with data analysis, modeling, and decision-support tools; strong analytical, problem-solving, and communication skills.

Nice to have

  • Master's degree or MBA; experience in semiconductor manufacturing, capacity or operations planning, or process optimization.
  • Knowledge of AI, machine learning, optimization, or digital transformation; experience developing analytical tools or automation; interest in Agentic AI workflows.

AI focus

Apply advanced analytics and AI-driven solutions to improve capital investment decisions, manufacturing flexibility, capacity sharing, and equipment repurposing; preferred interest in Agentic AI workflows.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)