Yield Tech Equipment Intern: AI-Driven Process Improvements

Micron Technology, Inc

Boise (ID)

On-site

USD 25,000 - 39,000

Full time

14 days+

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Benefits offered by this job

Healthcare plans
Paid time off

Job summary

Micron Technology, Inc invites Spring/Summer Yield Technology Equipment Engineer Interns in Boise, ID. You will learn about optical, x-ray, profile, and eBeam equipment used to detect variation sources in next-gen memory solutions.

You’ll develop critical thinking, work on a project with cross-functional teams, and gain hands-on experience in metrology and defect analysis. You will collaborate with engineers across process control, data science, yield analysis, and metrology to improve tool

Qualifications

  • Pursuing a Bachelor’s degree or Master’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or related field. Must be a current student, must not graduate before September 2027.
  • Internship requires creative problem solving and innovative solutions.
  • Investigate process anomalies, root cause analysis, data manipulation, and correlations.
  • Demonstrate ability to innovate and drive effective change in an energizing environment.

Responsibilities

  • Review experimental process flows for defect anomalies and quarantining out-of-control tools.
  • Identify opportunities to improve operations and awareness of process anomalies.
  • Use inline process signals to drive process improvements.
  • Collaborate with process control, data science, yield analysis, and metrology teams.

Skills

Creative problem solving
Root cause analysis
Data manipulation
Correlations
Analytical skills
Communication
Technical skills

Education

Bachelor’s or Master’s in Electrical, Chemical, or Materials Engineering

Tools

Scanning Electron Microscope
Focused Ion Beam tools

Job description

Micron Technology, Inc invites Spring/Summer Yield Technology Equipment Engineer Interns in Boise, ID. You will learn about optical, x-ray, profile, and eBeam equipment used to detect variation sources in next-gen memory solutions.

You’ll develop critical thinking, work on a project with cross-functional teams, and gain hands-on experience in metrology and defect analysis. You will collaborate with engineers across process control, data science, yield analysis, and metrology to improve tool

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