Thin Films Equipment Eng Intern: Data‑Driven R&D

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Paid time off

Paid holidays

Paid family leave

Job summary

Micron Technology, Inc. in Idaho’s Boise area is seeking a Thin Films Equipment Engineering Intern to gain hands-on experience with semiconductor equipment and processes.

You will support equipment optimization, data analysis, and technology development while collaborating with cross-functional teams, applying advanced analytics to solve engineering challenges. Minimum qualifications include pursuing a Bachelor's or Master's in engineering, strong analytical and communication skills, and

Qualifications

• Pursuing a Bachelor's or Master's in a relevant engineering field.
• Analytical and problem-solving skills demonstrated via coursework or projects.
• Ability to collect, organize, and analyze technical data using engineering methods.
• Strong verbal and written communication for presenting technical information.
• Availability to complete an internship aligned with academic requirements.

Responsibilities

• Collect, analyze, and interpret equipment and process data to identify optimization opportunities.
• Support structured engineering experiments and document findings.
• Collaborate with Engineering teams and suppliers to address development challenges.
• Develop understanding of equipment hardware and process interactions to fix issues.
• Leverage AI and data analytics tools to improve decision-making and workflows.

Skills

Analytical skills

Problem solving

Verbal communication

Written communication

Data analysis

Education

Bachelor's or Master's in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Physics

Tools

Python

SQL

JMP

Job description

Micron Technology, Inc. in Idaho’s Boise area is seeking a Thin Films Equipment Engineering Intern to gain hands-on experience with semiconductor equipment and processes.

You will support equipment optimization, data analysis, and technology development while collaborating with cross-functional teams, applying advanced analytics to solve engineering challenges. Minimum qualifications include pursuing a Bachelor's or Master's in engineering, strong analytical and communication skills, and