Intern - Process Integration Engineer

Micron Technology•Boise, ID

About The Position

Micron Technology’s Process Integration team is seeking a motivated intern for a six-month internship supporting advanced DRAM technology and manufacturing. The role provides hands-on experience in semiconductor process integration, electrical and inline data analysis, yield improvement, and cross-functional engineering collaboration. The intern will work with experienced Process Integration engineers to understand semiconductor manufacturing processes, analyze data, identify process and yield opportunities, and support engineering solutions that improve technology performance and manufacturing readiness.

Requirements

  • 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.

Nice To Haves

  • 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.
  • Previous semiconductor industry, research, laboratory, or process-engineering experience.

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 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 to improve engineering efficiency and decision-making.
  • Document technical findings and communicate results and recommendations to engineering teams and leadership.
  • Leverage AI in day-to-day operations and tasks.

Benefits

  • Choice of medical, dental, and vision plans.
  • Programs to help protect income if unable to work due to illness or injury.
  • Paid family leave.
  • Paid time off.
  • Paid holidays.
  • Programs supporting personal wellbeing and professional growth.
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