AI-Powered Photomask Yield Analytics Intern

Micron Technology, Inc.; Boise (ID); On-site; USD 25,000 - 39,000; Full time

Job summary

Micron Technology, Inc. is offering an analytics internship at the Micron Mask Technology Center in Boise. You will work on advanced analytics, automation, and AI-enabled problem solving to improve manufacturing performance using large data sets.

The role focuses on data analysis, statistical modeling, and collaboration with Yield Enhancement and Process teams to deliver measurable improvements and informed decision making.

Qualifications

• Pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Industrial Engineering, Engineering, or a related quantitative discipline.
• Senior undergraduate student or higher by the internship start date; cannot graduate prior to September 2027.
• Demonstrated experience with Python, R, SQL, JMP, or similar analytics tools through coursework, research, or projects.
• Experience with statistical analysis, data modeling, or large dataset analysis.
• Ability to translate analytical results into clear, actionable engineering insights.

Responsibilities

• Analyze manufacturing, process, quality, and yield data to identify trends, anomalies, and improvement opportunities.
• Develop dashboards, visualizations, and automated reports that support operational decision-making
• Apply statistical methods and machine learning to investigate yield loss mechanisms and process variation
• Collaborate with Yield Enhancement, Process Engineering, Process Integration, and Manufacturing teams on process optimization.
• Deliver one end-to-end analytics project with measurable impact through yield improvement, cycle-time reduction, reporting automation, or improved decision support.

Skills

Python

R

SQL

JMP

Education

BS/MS/PhD in Data Science or related quantitative field

Tools

Tableau

Power BI

Job description

Micron Technology, Inc. is offering an analytics internship at the Micron Mask Technology Center in Boise. You will work on advanced analytics, automation, and AI-enabled problem solving to improve manufacturing performance using large data sets.

The role focuses on data analysis, statistical modeling, and collaboration with Yield Enhancement and Process teams to deliver measurable improvements and informed decision making.