Drimva

Micron

HVM ME Shift Process Engineer

Boise, ID - ID1 · Full-time · Posted Oct 30, 2026

Experience
More than 2 years as a semiconductor shift process engineer.
Education
Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field, or equivalent experience.

About the job

Monitors, analyzes, and improves photo manufacturing processes to increase yield, quality, efficiency, and equipment performance in Micron’s semiconductor operations.

What you'll do

  • Track and refine processes against yield, quality, efficiency, equipment performance, and wafer-output goals; analyze performance using SPC, FDC, DOE, and other engineering methods.
  • Lead timely resolution of process, tool, defect, yield, and output issues, including identifying trends and managing excursions.
  • Maintain operational procedures, checklists, documentation, and training materials; use AI-enabled analytics and visualization tools to identify improvements.

What they ask for

  • Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field, or equivalent experience.
  • More than 2 years’ experience as a semiconductor shift process engineer.
  • Flexibility to work in a cleanroom on 12-hour rotating shifts: 3–4 workdays per week, rotating from days to nights every four months.
  • Expertise in SPC, DOE, and organized problem-solving, plus proficiency with one or more tools such as Python, Java, MATLAB, Tableau, or Microsoft Office applications.

Nice to have

  • Intermediate understanding of fab process areas, equipment, and supporting systems; working knowledge of semiconductor fabrication.
  • Experience with data collection, warehousing, cleansing, and querying, or AI-assisted tools and Agentic AI workflows.

Tools

Statistical Process Control (SPC), Fault Detection and Classification (FDC), Design of Experiments (DOE), Python, Java, MATLAB, Tableau, Microsoft Office

AI focus

Apply AI-enabled analytics tools to identify process improvements and support data-driven decisions; preferred experience with AI-assisted tools or interest in developing Agentic AI workflows.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 4, 2026 (UTC)