Senior Equipment Engineer - Mask Tech Center

Micron Technology, Inc.; Boise (ID); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision plans

Paid time off

Paid holidays

Retirement savings plan

Job summary

Micron Technology, Inc. in Boise, Idaho seeks an Equipment Engineer Level 2 or 3 to own and maintain advanced semiconductor manufacturing equipment at the Mask Technology Center.

You will work with manufacturing and engineering teams to improve uptime, reliability, and process capability while applying data-driven methods. Responsibilities include troubleshooting, preventive maintenance, and coordinating upgrades, with a focus on automation, analytics, and AI-assisted approaches to optimize

Qualifications

• BS degree in engineering or related field with 2+ years of semiconductor experience, or an Associate degree with 5+ years in a technical field.
• Troubleshooting complex semiconductor manufacturing equipment.
• Strong knowledge of electrical, mechanical, chemical, optical, vacuum, RF, robotic, automation, software, and firmware systems.

Responsibilities

• Maintain, troubleshoot, repair, modify, and qualify assigned manufacturing equipment.
• Drive improvements in uptime, reliability, capability, and overall performance.
• Perform root cause analysis and implement corrective actions for recurring failures.
• Define and improve preventative maintenance, recovery, and troubleshooting procedures.
• Monitor equipment health and identify opportunities to reduce cost of ownership.

Skills

Semiconductor equipment Troubleshooti

Data analysis

Project management

Cross-functional collaboration

Analytical problem solving

Education

BS degree in engineering or related field

Associate degree or equivalent experience in technical field

Tools

Python

SQL

Power BI

AutoCAD/Solid Edge

Job description

Micron Technology, Inc. in Boise, Idaho seeks an Equipment Engineer Level 2 or 3 to own and maintain advanced semiconductor manufacturing equipment at the Mask Technology Center.

You will work with manufacturing and engineering teams to improve uptime, reliability, and process capability while applying data-driven methods. Responsibilities include troubleshooting, preventive maintenance, and coordinating upgrades, with a focus on automation, analytics, and AI-assisted approaches to optimize