Intern - Photomask Sustaining Engineering

About the Role

Micron Technology is a world leader in memory and storage solutions. The Micron Mask Technology Center (MTC) in Boise, Idaho, is a leading-edge photomask fabrication facility. As a Photomask Sustaining Engineering Intern, you will work with engineering and manufacturing teams to solve complex technical issues, uncover insights from production data, improve quality and cycle time, and develop innovative solutions for world-class manufacturing. You will gain hands-on experience in semiconductor manufacturing, data analytics, root cause analysis, troubleshooting, continuous improvement, and cross-functional collaboration while contributing to real production challenges.

What You'll Learn

• Photomask manufacturing fundamentals and the role of sustaining engineering.
• Practical application of AI and automation to improve engineering productivity and knowledge management.
• SEM/EDX theory, operation, and data interpretation for defect investigation and root cause analysis.
• SPC theory and application, including trend analysis, control charts, and process monitoring.
• Statistical analysis techniques for identifying process shifts, prioritizing improvements, and driving data-based decisions.

Responsibilities

• Analyze manufacturing and engineering data to identify trends, process shifts, and improvement opportunities.
• Support SEM/EDX data collection, analysis, and visualization.
• Develop automation, analytics, and AI-based solutions to improve engineering efficiency and knowledge management.
• Assist with Statistical Process Control (SPC) system development, monitoring, and reporting.
• Partner with sustaining engineers to investigate manufacturing issues and support root cause analysis.
• Document technical findings and share recommendations with cross-functional teams.
• Contribute to projects that improve quality, cycle time, and operational excellence.

Minimum Qualifications

• Currently pursuing a Bachelor's degree in Engineering, Material Science, or a related technical field. Cannot graduate prior to September 2027.
• Strong analytical and problem-solving skills demonstrated through coursework, projects, research, or work experience.
• Experience with data analysis tools such as Excel, JMP, Python, R, or MATLAB.
• Ability to communicate technical concepts effectively and collaborate in a team environment.
• Interest in manufacturing, process improvement, automation, data science, and artificial intelligence.

Preferred Qualifications

• Experience with Statistical Process Control (SPC) and statistical analysis.
• Proficiency in data analysis using Excel, JMP, Python, or similar tools. Familiarity with SQL, Power BI, Tableau, or other data visualization platforms.
• Experience applying AI tools, machine learning, or automation to improve workflows or knowledge management.
• Experience developing dashboards, data pipelines, or software tools.
• Cleanroom or semiconductor manufacturing experience.