Semiconductor Equipment Intern — Thin Films & AI Analytics

Micron

Boise (ID)

On-site

USD 25,000 - 34,000

Full time

14 days+
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Benefits offered by this job

Medical, dental and vision plans
Paid time off
Paid holidays
Paid family leave
Disability insurance

Job summary

Micron Technology is seeking an enthusiastic Thin Films Equipment Engineering Intern to support equipment optimization and data-driven projects. You will work with cross‑functional teams across Equipment, Process, and Facilities Engineering to enable next‑generation memory technologies.

You will gain hands‑on experience with semiconductor equipment, experimental design, and analytics while contributing to technology development in a fast‑paced R&D environment.

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in an engineering field such as Electrical, Mechanical, Chemical, Materials Science, Physics, or related.
  • Demonstrated analytical and problem-solving skills through coursework or projects.
  • Ability to collect, organize, and analyze technical data using engineering or statistical methods.

Responsibilities

  • Collect, analyze, and interpret equipment and process data to identify optimization opportunities.
  • Support structured engineering experiments and document findings in reports.
  • Collaborate with multiple engineering functions and suppliers to improve equipment performance.
  • Develop understanding of equipment hardware and process interactions to troubleshoot issues.
  • Apply AI and data analytics tools to improve engineering workflows and decision‑making.

Skills

Analytical thinking
Problem solving
Data analysis
Python
Communication skills

Education

Engineering degree candidate

Tools

Python
SQL
JMP

Job description

Micron Technology is seeking an enthusiastic Thin Films Equipment Engineering Intern to support equipment optimization and data-driven projects. You will work with cross‑functional teams across Equipment, Process, and Facilities Engineering to enable next‑generation memory technologies.

You will gain hands‑on experience with semiconductor equipment, experimental design, and analytics while contributing to technology development in a fast‑paced R&D environment.

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