RDA & Metrology Intern - Process Engineering (Shift)

Micron Technology

Boise (ID)

On-site

USD 3,444,000 - 4,822,000

Full time

14 days+

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Job summary

Micron Technology is seeking an Intern for the Yield Technology RAM group in Boise. You will support process engineering, real-time defect analysis, and metrology in a semiconductor fab, gaining hands‑on exposure to data analysis, recipe workflows, and cross‑functional problem solving.

The internship emphasizes AI-driven improvements, collaboration with engineers, and learning about Fab 4 yields and memory development.

Qualifications

  • Pursuing a Bachelor's, Master's, or Ph.D. in a technical field; graduation after Sept 2027.
  • Interest in semiconductor processing, metrology, defect analysis, or related areas.
  • Ability to use AI/data-based recommendations in technical problems.
  • Proficiency with Microsoft Office tools (PowerPoint, Word, Excel, OneNote).
  • Ability to work safely in a fast-paced manufacturing environment.

Responsibilities

  • Assist data collection, basic analysis, tool support, and documentation for Fab 4 teams.
  • Review workflows, measurement setup, and equipment processes under senior guidance.
  • Support SEM, defect review, and incoming fab requests; track status and summarize results.
  • Contribute to an AI-powered internship project and present findings to the team.
  • Communicate requests and priorities clearly with engineers and team members.

Skills

Data analysis
AI proficiency
Curiosity
Team collaboration
Communication

Education

Bachelor's degree in a technical field
Master's degree in a technical field
Ph.D. candidate in a technical field

Tools

Python
MATLAB
JMP
Excel
PowerPoint
Claude

Job description

Micron Technology is seeking an Intern for the Yield Technology RAM group in Boise. You will support process engineering, real-time defect analysis, and metrology in a semiconductor fab, gaining hands‑on exposure to data analysis, recipe workflows, and cross‑functional problem solving.

The internship emphasizes AI-driven improvements, collaboration with engineers, and learning about Fab 4 yields and memory development.

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