AI-Driven Facilities Automation Engineer

3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC; Boise (ID); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision

Paid time off

Paid holidays

Job summary

Micron Technology is seeking an Engineer, Facilities Automation to drive digital transformation within Facilities by developing automation, AI, and data-driven solutions that optimize workflows and improve efficiency. You will partner with Construction, Design & Engineering, Electrical, Mechanical, and other teams to deliver scalable improvements and data-driven decision support.

You will evaluate AI opportunities, integrate AI-enabled capabilities with enterprise processes, and help teams

Qualifications

• Bachelor's degree in Engineering, Computer Science, Automation, Information Systems, or a related field.
• 2+ years of experience developing, supporting, or implementing automation, analytics, and process improvements.
• 2+ years of experience with data, reporting, and business intelligence tools (Excel, SQL, Power BI, SharePoint, Copilot, UiPath).

Responsibilities

• Design, develop, and support automation and AI-enabled solutions that improve operational efficiency and reduce manual effort across Facilities.
• Collaborate with stakeholders across multiple engineering and operations domains to deliver high-impact process improvements.
• Lead evaluation and implementation of AI capabilities including analytics, NLP, and decision-support solutions.

Skills

Automation

Data analytics

Cross-functional teamwork

Scripting

Power BI

Excel

SQL

UiPath

Education

Bachelor's degree in Engineering / CS

Master's degree in Engineering / CS

Tools

Power BI

Excel

SQL

UiPath

SharePoint

Microsoft Copilot

Job description

Micron Technology is seeking an Engineer, Facilities Automation to drive digital transformation within Facilities by developing automation, AI, and data-driven solutions that optimize workflows and improve efficiency. You will partner with Construction, Design & Engineering, Electrical, Mechanical, and other teams to deliver scalable improvements and data-driven decision support.

You will evaluate AI opportunities, integrate AI-enabled capabilities with enterprise processes, and help teams