Drimva

Micron

Senior Reticle Pattern Inspection Process Engineer

Boise, ID - Main Site · Senior · Full-time · Posted Oct 19, 2026

Experience
5+ years.
Education
Master's degree in Physics, Optics, Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, or related field; or Bachelor's degree with significant directly relevant industry experience.

About the job

Develops and optimizes reticle pattern inspection solutions for current and next-generation lithography, improving defect detection, yield, and manufacturing readiness.

What you'll do

  • Develop, qualify, optimize, and sustain reticle inspection processes, including EUV inspection and automated defect classification.
  • Lead defect characterization, printability assessment, mask-to-wafer correlation, and root-cause investigations.
  • Lead equipment qualifications and technology assessments, and collaborate across teams and with suppliers to introduce inspection capabilities.

What they ask for

  • Master's degree in a specified or related field, or Bachelor's degree with significant directly relevant industry experience.
  • 5+ years of experience in photomask engineering, reticle or wafer inspection, semiconductor defect engineering, advanced lithography, or related semiconductor manufacturing.
  • Experience developing, optimizing, qualifying, or sustaining advanced inspection processes and manufacturing systems.
  • Strong understanding of defect detection, classification, inspection sensitivity, nuisance reduction, and process optimization; experience leading technical projects and using statistical and structured problem-solving methods.

Nice to have

  • Experience with EUV reticle inspection, High-NA EUV, defect printability, or mask-to-wafer correlation.
  • Experience with lithography simulation, aerial image analysis, machine learning, advanced analytics, or AI-enabled inspection solutions.

Tools

EUV, High-NA EUV, SPC, FMEA, 8D, machine learning

AI focus

Develop or use machine learning, advanced analytics, and AI-enabled workflows for automated defect classification and inspection solutions.

Model-written summary · the original posting is authoritative

First seen Oct 20, 2026 · Last verified Nov 6, 2026 (UTC)