Industrial Engineer, US Front-End Expansion Planning

Micron Technology, Inc; Boise (ID); On-site; USD 80,000 - 100,000; Full time

Job summary

Micron Technology, Inc in Boise, Idaho is looking for a US Expansion Planning Engineer to prepare for production in a new manufacturing facility. The position involves calculating capital impacts and presenting them to senior leaders.

Ideal candidates will have experience with semiconductor capacity planning and a background in using Python and SQL for data analysis. Responsibilities include financial analysis, tool optimization, and collaborating with cross-functional teams.

Qualifications

• Minimum of 2 years experience with semiconductor capacity planning and capital equipment planning required.
• Minimum 2 years of experience using Python and SQL for developing metrics.
• Semiconductor experience is required.

Responsibilities

• Collaborate with partners to drive future tool and process roadmaps.
• Complete financial analyses before new capital equipment purchases.
• Optimize capacity of equipment base and lead tool-level optimization studies.

Skills

Python

SQL

Excel

VBA

Power BI

Tableau

Education

Bachelor's or Master’s degree in Industrial Engineering

Tools

Financial analysis models

Job description

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.

As a US Expansion Planning Engineer, you will be a key contact in preparing for production in a new high volume memory manufacturing facility in Boise, Idaho, calculating and presenting capital impacts of processes that will be introduced at the site to senior leaders in manufacturing and R&D.

Responsibilities

• Collaborate with partners to drive future tool and process roadmaps, and calculate network capacity impacts of process changes
• Complete financial analyses before new capital equipment is purchased, including metrics optimization, process flexibility, capacity sharing and equipment repurpose
• Handle site tool utilization and capacity planning models to optimize the site’s deployed capital
• Apply new (e.g. Python, SQL, R) and traditional (Excel, VBA) methods to improve and automate tasks in the planning system/models
• Design, track, and communicate capital change proposals through formal presentations to manufacturing senior leaders utilizing required reporting tools (Power BI and Tableau)
• Optimize capacity of equipment base and lead site- and tool-level optimization studies for efficiency improvement
• Build and implement tools to audit manufacturing capital efficiency and identify cost reduction opportunities
• Lead and communicate improvement opportunities and implementation plans to all relevant levels and functions in manufacturing

Minimum Qualifications

• Bachelor's or Master’s degree in Industrial Engineering
• Minimum of 2 years experience with semiconductor capacity planning and capital equipment planning required
• Minimum 2 years of experience using Python and SQL to craft and develop visualization and web-based reporting metrics, influencing data driven insights in a semiconductor manufacturing environment
• Semiconductor experience

Preferred Qualifications

• Bachelors or Masters degree in a business-related or quantitative field
• Experience turning sophisticated and ambiguous problem statements into structured solutions while working in a highly multi-functional environment
• Proven ability to successfully analyze and interpret data, drawing conclusions, recommending actions, and reporting results across diverse technical and non-technical groups
• Demonstrated ability to operate independently while maintaining a high degree of organization and control and establishing successful working relationships with cross-functional teams
• Experience and/or interest in developing Agentic AI workflows into current or future processes

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.