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Micron Technology

Makes memory and storage chips for AI and PCs

Equipment Engineer - Mask Technology Center

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours
Full-timeBoise, ID, USANo salary listedIn-person

About the Job

Requirements

  • A BS degree in engineering or a related technical degree and at least 2 years of related semiconductor industry experience, or an Associate Degree or equivalent experience in a technical field and at least 5 years of relevant semiconductor manufacturing equipment experience.
  • Troubleshooting experience with complex semiconductor manufacturing equipment.
  • Knowledge of electrical, mechanical, chemical, optical, vacuum, radio frequency, robotic, automation, software, and firmware systems.
  • Experience using structured problem-solving methodologies such as failure mode and effects analysis, 8D, Six Sigma, or equivalent.
  • Strong analytical skills to collect, interpret, and communicate technical data.
  • Experience coordinating equipment installations, upgrades, and facility-related activities.
  • Ability to manage projects and drive improvements to completion.
  • Strong organizational, documentation, and interpersonal skills.
  • Ability to work independently and collaborate across multiple organizations.
  • High motivation, ownership, and dedication to client happiness.
  • Commitment to Micron's core values of People, Innovation, Tenacity, Collaboration, and Customer Focus.

Responsibilities

  • Maintain, troubleshoot, repair, modify, and qualify assigned manufacturing equipment.
  • Drive improvements in equipment uptime, reliability, capability, and overall performance.
  • Perform root cause analysis and implement corrective actions for recurring equipment failures.
  • Define and improve preventative maintenance, recovery, and troubleshooting procedures.
  • Monitor equipment health and identify opportunities to improve performance and reduce cost of ownership.
  • Maintain awareness of manufacturer updates, technical notices, safety concerns, and upgrade opportunities.
  • Drive vendor performance and accountability through collaboration, data exchange, CIP, and QBR processes.
  • Support manufacturing by responding to equipment issues, process excursions, and production priorities.
  • Collaborate with process owners, production, and sustaining engineering to identify and resolve equipment-related defects.
  • Coordinate maintenance activities, upgrades, and engineering projects with technicians, engineers, vendors, and operations teams.
  • Provide technical expertise for system modifications, upgrades, and equipment optimization initiatives.
  • Support tool evaluations, installations, relocations, and qualifications.
  • Drive projects from planning through completion while coordinating activities across multiple organizations.
  • Develop methods for collecting, analyzing, and reporting equipment performance data.
  • Apply statistical analysis and engineering tools to identify trends and drive improvement opportunities.
  • Create automated reports, dashboards, and data visualizations using tools such as Python, SQL, Excel, JMP, or Power BI.
  • Apply AI-assisted analysis and data-driven methods to improve troubleshooting effectiveness and equipment performance.
  • Support predictive maintenance initiatives through equipment monitoring, data analysis, and failure trend identification.
  • Develop and implement automation solutions that reduce manual effort and improve engineering productivity.
  • Evaluate emerging AI and digital manufacturing technologies for practical application in equipment engineering activities.
  • Create and maintain maintenance procedures, troubleshooting guides, training materials, and engineering documentation.
  • Train technicians and engineers on equipment operation, maintenance, and recovery procedures.
  • Document engineering activities, equipment upgrades, corrective actions, and lessons learned.
  • Communicate technical information to engineering, manufacturing, management, and suppliers.

Desired Qualifications

  • At least 5 years of semiconductor manufacturing, photomask, or advanced manufacturing equipment experience.
  • Experience using AI tools for troubleshooting, knowledge management, predictive analytics, workflow automation, or operational excellence initiatives.
  • Experience with mask shop equipment, inspection systems, metrology tools, lithography systems, repair tools, e-beam equipment, robotics, or automation platforms.
  • Experience with Python, SQL, C#, LabVIEW, or similar programming languages.
  • Experience with Power BI, Tableau, JMP, MTSPC, ETI applications, SharePoint, or similar analytical tools.
  • Familiarity with machine learning, AI-assisted troubleshooting, predictive maintenance, or advanced manufacturing analytics.
  • Experience implementing automation, data acquisition, or engineering productivity improvements.
  • Understanding of laser, optical, vacuum, and radio frequency systems.
  • Experience with AutoCAD, Solid Edge, or equivalent drafting software.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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