Senior Industrial Engineer - AI Enablement

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.
Join Micron's Planning Manufacturing team, where you'll contribute significantly to preparing and growing our next-generation memory fabs! You will engage with Manufacturing, R&D, and Supply Chain to convert complex data into clear decisions that support high volume production. If you enjoy addressing real problems that directly improve factory performance, this team delivers!
In the role of the AI Enablement Industrial Engineer, you will support production readiness at Micron's high-volume memory fab in Boise, Idaho. Tasks include crafting and deploying AI tools that translate manufacturing changes into capacity insights, building scalable AI planning tools, and providing data-driven recommendations to senior leaders. You will integrate advanced AI analytics and automation to improve capacity management. These results will increase forecast accuracy, accelerate decisions, and optimize resource use for a successful ramp and ongoing operations.
Responsibilities:

• Drive equipment availability and utilization to improve fab capacity
• Develop and implement AI tools, model capacity impacts of new tools, process changes, and roadmap decisions
• Build and automate planning models through generative AI tools and 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

Minimum Qualifications:

• Bachelor's degree in Industrial Engineering. Business, Finance, Economics, or a quantitative field considered.
• 2-5 years of experience in semiconductor capacity planning, business analysis, or process engineering
• Experience developing and integrating generative AI technologies into industrial engineering or manufacturing environments
• Experience analyzing data, forming recommendations, and presenting clear results cusing Python and SQL
• Ability to collaborate independently with Operations, Engineering, and Supply Chain teams

Preferred Qualifications:

• Over 5 years of experience in modeling front-end semiconductor manufacturing capacity
• Data science background
• Experience working independently with strong organization and execution rigor
• Proficiency communicating insights to both technical and non-technical audiences
• Proven ability to build cross-functional partnerships

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
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.
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To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at [email protected] or 1-800-336-8918 (select option #3)
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