Intern

About the Role

Micron Technology is seeking a Process Integration Engineer Intern to work on advanced DRAM technology and manufacturing. This internship provides hands-on experience in semiconductor process integration, electrical and inline data analysis, yield improvement, and cross-functional engineering collaboration.

Key Responsibilities

• Support integration and optimization of semiconductor process modules across the DRAM manufacturing flow.
• Analyze electrical, inline, process, and yield data to identify performance gaps, yield detractors, and process anomalies.
• Apply statistical analysis and engineering problem-solving methodologies to investigate complex technical issues.
• Partner with Process Integration, Process Engineering, Yield Engineering, Device, Technology Development, and other cross-functional teams to drive continuous improvement.
• Use data analytics, visualization, automation, and AI-assisted tools to improve engineering problem-solving efficiency and productivity.
• Support experiments and data analysis to understand relationships between process conditions, device performance, and product yield.
• Develop dashboards, analytical methods, or other tools that improve engineering efficiency and decision-making.
• Document technical findings and communicate results and recommendations to engineering teams and leadership.
• Leveraging AI in day-to-day operation and tasks.

Requirements & Tech Stack

• Currently pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Materials Science/Engineering, Chemical Engineering, Physics, or a related technical field.
• Strong analytical and technical problem-solving skills.
• Fundamental understanding of semiconductor devices, semiconductor processing, or manufacturing.
• Experience with statistical data analysis.
• Ability to analyze technical data and draw engineering conclusions.
• Strong communication, teamwork, and self-motivation.

Preferred Qualifications

• Knowledge of semiconductor fabrication and process flows; DRAM process knowledge is a plus.
• Knowledge of semiconductor devices, including CMOS and/or capacitor fundamentals.
• Experience with statistical methods such as SPC, DOE, correlation analysis, or yield analysis.
• Experience using engineering data-analysis and visualization tools such as JMP and Excel.
• Experience with Python, scripting, automation, dashboards, data visualization, or AI tools is a plus.
• Previous semiconductor industry, research, laboratory, or process-engineering experience is a plus.