Metrology Process Development Intern - AI & Data Analytics

Micron; Boise (ID); On-site; USD 28,000 - 41,000; Part time

Job summary

Micron Technology invites applications for an internship in the Metrology Technology Development group in Boise, Idaho. You will work on projects in Optical Thin Films, Overlay/Registration, Profiling/Topography, and other metrology techniques, applying data science to large data streams and AI-enabled tools.

Ideal candidates are pursuing MS or PhD in Engineering, Physics, or semiconductor-related fields, with interest in AI/ML, MATLAB/Python, and experience with data analysis.

Qualifications

• MS or PhD in Engineering, Physics, Material Science, or a semiconductor-related field.
• Current student; must not graduate before September 2027.
• Deep understanding of Optical Metrology, Overlay/Registration, Profiling/Topography, X-Ray, or related metrology techniques.
• Background in data science and large data analytics for semiconductor metrology.
• Experience with instrumentation and semiconductor processing workflows.

Responsibilities

• Complete two or three Metrology projects, summarize results, and present to the Metrology team.
• Plan, design, and run experiments in a semiconductor cleanroom with pioneering tech.
• Analyze metrology data using Excel and JMP for insights and decisions.
• Develop and evaluate metrology tech to meet device roadmaps and production needs.
• Collaborate with process development engineers to optimize measurements across flows.
• Contribute to AI-enabled data analysis and workflows for research and transfer readiness.

Skills

Data science

Python

MATLAB

JMP

Excel

AI/ML tools

Education

MS or PhD in Engineering/Physics/semiconductor field

Tools

JMP

MATLAB

Python

Excel

Job description

Micron Technology invites applications for an internship in the Metrology Technology Development group in Boise, Idaho. You will work on projects in Optical Thin Films, Overlay/Registration, Profiling/Topography, and other metrology techniques, applying data science to large data streams and AI-enabled tools.

Ideal candidates are pursuing MS or PhD in Engineering, Physics, or semiconductor-related fields, with interest in AI/ML, MATLAB/Python, and experience with data analysis.