Drimva

Micron

ATE Process Engineer

Boise, ID - ID1 · Full-time · Posted Oct 27, 2026

Experience
2+ years; experience supporting DRAM development, technology transfer, process ramp, or high-volume manufacturing is also mentioned, with no years specified.
Education
BS or Master’s in Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Physics, or a related engineering field, or equivalent experience.

About the job

Develops, transfers, and optimizes semiconductor manufacturing processes to improve product quality, yield, productivity, and cost while resolving production issues.

What you'll do

  • Develop and maintain technical expertise in assigned manufacturing processes; support process qualifications, technology transfers, equipment installations, and manufacturing ramp.
  • Analyze production data, identify root causes, and lead improvements in yield, defects, capability, productivity, cost, and risk.
  • Collaborate with cross-functional teams and use SPC, data analytics, automation, and AI-enabled tools to improve process performance and problem solving.

What they ask for

  • BS or Master’s in Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Physics, or a related engineering field, or equivalent experience.
  • 2+ years supporting semiconductor manufacturing, process engineering, equipment engineering, yield engineering, or technology development in a semiconductor fabrication environment.
  • Experience using data analysis and structured problem-solving methodologies to improve processes and manufacturing performance.
  • Strong communication, collaboration, and technical fixing skills.

Nice to have

  • Experience with SPC, DOE, FMEA, root cause analysis, or statistical data analysis; semiconductor process areas or fabrication equipment.
  • Experience with AI-enabled tools, automation, scripting, or analytics platforms such as Python, JMP, SQL, Tableau, or Power BI.

Tools

SPC, DOE, FMEA, Python, JMP, SQL, Tableau, Power BI

AI focus

Use AI-enabled tools, automation, and advanced analytics to improve engineering productivity and accelerate problem solving.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)