Micron
Equipment Engineer – Mask Technology Center (MTC)
Boise, ID - Main Site · Full-time · Posted Oct 22, 2026
- Experience
- BS route: 2+ years of related semiconductor industry experience; Associate Degree or equivalent experience route: 5+ years of relevant semiconductor manufacturing equipment experience. Preferred: 5+ years in semiconductor manufacturing, photomask, or advanced manufacturing equipment.
- Education
- BS degree in engineering or related technical degree; or an Associate Degree or equivalent experience in a technical field.
About the job
Own and improve semiconductor manufacturing equipment at Micron’s Mask Technology Center, supporting reliability, production, projects, and engineering modernization.
What you'll do
- Maintain, troubleshoot, repair, qualify, and improve assigned equipment to increase uptime, reliability, and capability.
- Coordinate equipment support, upgrades, installations, and improvement projects with manufacturing, engineering, technicians, and suppliers.
- Analyze equipment data and develop reporting, automation, predictive maintenance, and AI-assisted methods to improve engineering effectiveness.
What they ask for
- BS in engineering or a related technical degree and 2+ years of related semiconductor industry experience, or an Associate Degree or equivalent experience in a technical field and 5+ years of relevant semiconductor manufacturing equipment experience.
- Troubleshooting experience with complex semiconductor manufacturing equipment.
- Knowledge of electrical, mechanical, chemical, optical, vacuum, RF, robotic, automation, software, and firmware systems.
- Experience with structured problem-solving methodologies such as FMEA, 8D, Six Sigma, or equivalent.
Nice to have
- 5+ years of semiconductor manufacturing, photomask, or advanced manufacturing equipment experience.
- Experience with AI tools for troubleshooting, knowledge management, predictive analytics, workflow automation, or operational excellence.
Tools
Python, SQL, Excel, JMP, Power BI, FMEA, 8D, Six Sigma
AI focus
Apply AI-assisted analysis to troubleshooting and equipment performance; support predictive maintenance and evaluate emerging AI and digital manufacturing technologies. Related preferred applications include knowledge management, predictive analytics, and workflow automation.
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