AI-Enabled Capacity Engineer for Semiconductor Fab

Micron Memory Malaysia Sdn Bhd

Boise (ID)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Micron Technology in Boise, Idaho seeks an AI Enablement Industrial Engineer to translate manufacturing changes into capacity insights and build scalable planning tools for high-volume memory fabs.

You will develop data-driven recommendations, automate planning models with Python/SQL/R/Excel, and communicate results to senior leaders while collaborating across Operations, Engineering, and Supply Chain to accelerate ramp and sustain operations.

Qualifications

  • Bachelor's degree in Engineering, Business, Finance, Economics, or a quantitative field.
  • 2+ years of experience in semiconductor capacity planning, business analysis, or process engineering.
  • Experience with generative AI tools.
  • Experience analyzing data, forming recommendations, and presenting results clearly.
  • Ability to work across Operations, Engineering, and Supply Chain teams.

Responsibilities

  • Drive equipment availability and utilization to maximize fab capacity.
  • Model capacity impacts of new tools, process changes, and roadmap decisions.
  • Develop and automate planning models using generative AI tools, Python, SQL, R, Excel, or VBA.
  • Build and maintain site capacity and utilization models to optimize deployed capital.
  • Communicate recommendations and improvement proposals through dashboards and executive presentations.

Skills

Generative AI tools
Data analysis
Python/SQL/R/Excel
Cross-functional collaboration

Education

Bachelor's degree in Engineering/Business/Finance/Economics/Quantitative field

Tools

VBA

Job description

Micron Technology in Boise, Idaho seeks an AI Enablement Industrial Engineer to translate manufacturing changes into capacity insights and build scalable planning tools for high-volume memory fabs.

You will develop data-driven recommendations, automate planning models with Python/SQL/R/Excel, and communicate results to senior leaders while collaborating across Operations, Engineering, and Supply Chain to accelerate ramp and sustain operations.

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