Global FE PLN US Satellite Scenario and Capital Engineer Boise, Idaho

Position: Global FE PLN US Satellite Scenario and Capital Engineer Boise, Idaho, United States of America
## Global FE PLN US Satellite Scenario and Capital Engineer Boise, Idaho, United States of America
** Our vision is to transform how the world uses information to enrich life for
* all*.
** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

This role requires outstanding forward-thinking, analytical thinking, and creativity to apply optimization methodologies that drive efficient loading, capital efficiency, and sweet-spot studies. The successful candidate will use structured data analysis to assess market conditions. They will develop efficient loading strategies and provide data-driven recommendations to support executive decisions and business success.

The ideal candidate will have a strong understanding of prioritisation, business processes, and capital optimization. They will be able to find opportunities through scenario analysis, automation, and continuous improvement initiatives. This role embraces AI-enabled ways of working through the use of AI-powered analytics, intelligent automation, and decision-support tools to accelerate insights, improve forecast accuracy, streamline planning processes, reduce manual effort, and drive operational excellence.##

Responsibilities
* Develop and optimize capacity loading plans using industrial engineering and optimization methodologies to achieve business targets, market share objectives, and technode ramp requirements.
* Perform capacity, scenario, and conversion cost evaluations to assess business alternatives, support technology planning, and offer analytical insights to leadership.
* Collaborate with multi-functional partners and central planning teams to assess future capacity requirements, capital needs, and impacts to business plans.
* Analyze and communicate the operational and financial impacts of tooling purchases, technology transitions, capital expenditures, and other business planning decisions.
* Manage planning databases, scenario ownership, change control processes, and SharePoint resources to ensure data integrity and planning accuracy.
* Monitor capital spending performance, forecast accuracy, cash flow impacts, and technode capital expenditures while identifying optimization opportunities.
* Develop and maintain dashboards, reports, automated workflows, and analytics solutions that improve planning efficiency, transparency, and decision-making.
* Lead complex projects and ensure compliance with business planning timelines, collaborator commitments, and governance requirements while driving continuous process improvement.##

Minimum Qualifications
* Bachelor's degree or equivalent experience in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Chemical Engineering, or a comparable technical area.
* Experience in forecasting resource needs, long-term planning, process engineering, production operations, or a related analytical function.
* Strong analytical, problem-solving, and data validation skills combined with the capacity to transform complex data into actionable business insights.
* Proficiency in Microsoft Excel, SharePoint, Power BI, and other data analysis or reporting tools.
* Strong communication, collaboration, and presentation skills accompanied by the capability to work effectively across functions and independently manage priorities.##

Preferred Qualifications
* 2+ years of experience in semiconductor production forecasting, industrial engineering, planning for future growth, or within a comparable semiconductor manufacturing setting.
* Experience using AI-enabled analytics and productivity tools such as Microsoft Copilot, Power BI AI capabilities, and Python-based analytics solutions.
* Knowledge of capital planning, capital asset management, Cost of Transition (CoT) analysis, and technology node planning processes.
* Experience developing automated reporting, forecasting, dashboards, and data visualization solutions using Power BI, Tableau, or similar platforms.
* Experience applying statistics, optimization techniques, scenario modeling, and advanced analytics to improve planning accuracy, resource allocation efficiency, and operational performance.

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