Thin Films Equipment Engineering Intern – AI Analytics

Micron Technology; Boise (ID); On-site; USD 27,552,000 - 38,573,000; Full time

Job summary

Micron Technology in Boise, Idaho is offering a Thin Films Equipment Engineering Intern position where you will gain hands-on experience with semiconductor equipment, focusing on optimization, data analysis, and technology development in a fast-paced R&D environment.

You will collaborate with multi-functional teams, contribute to experiments, learn equipment hardware interactions, and apply AI and analytics to solve engineering challenges while building foundational skills for a career in

Qualifications

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

Responsibilities

• Collect, analyze, and interpret data to identify performance improvements.
• Support experiments, document findings, and present results.
• Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address challenges.
• Develop understanding of equipment hardware and processing interactions to fix engineering issues.
• Apply AI and analytics to improve decision-making and workflows.

Skills

Analytical skills

Problem solving

Verbal communication

Team collaboration

Education

Engineering degree (B.S./M.S.)

Tools

Python

SQL

JMP

Job description

Micron Technology in Boise, Idaho is offering a Thin Films Equipment Engineering Intern position where you will gain hands-on experience with semiconductor equipment, focusing on optimization, data analysis, and technology development in a fast-paced R&D environment.

You will collaborate with multi-functional teams, contribute to experiments, learn equipment hardware interactions, and apply AI and analytics to solve engineering challenges while building foundational skills for a career in