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Process Control Intern in Boise, ID

MicronBoise, IDPosted 14 hours ago

Pay
$55k – $70k
per year
Type
Internship
Full time
Where
Boise, ID
Who
Bachelor's or Master's
Students
Apply by
Dec 7, 2026
Date from the posting

About the job

Micron Technology is a world leader in memory and storage solutions that help people learn, communicate, and advance faster than ever. The company operates with integrity, accountability, and professionalism while supporting its global community.

As a Process Control Engineer Intern on the Technology Development team, you will help develop process and equipment control solutions. You will work with process engineering, IT, equipment automation, data engineering, and data science teams to build high quality control strategies and methods for predicting, identifying, and reducing variation.

As a PCE R2R Intern, you will learn to build models that detect process variation and improve control capabilities. The goal is greater efficiency, equipment and product safety, lower process variation, and higher yield. You will take part in data analysis, automation work, model building, and advanced strategy development.

Learning Opportunities May Include:

  • Designing and implementing solutions that reduce process variation and automate or simplify process control tasks
  • Defining process requirements to design and deliver decision logic
  • Writing scripts to extract, shape, and filter data for predictive and control models
  • Using AI agents and code assistants in project work and daily productivity
  • Pulling data from multiple databases with SQL and other query languages, then applying data cleansing, outlier identification, and missing data techniques
  • Presenting complex analysis clearly and concisely

Benefits

Benefits include an employee rewards program, healthcare, paid time off, retirement savings plans, paid parental leave, an employee assistance program, professional development training, wellness programs, tuition reimbursement, and corporate discounts.

Skills mentioned

  • SQL
  • Java
  • Python
  • JMP
  • Control Theory
  • Statistical Process Control

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