Yield Analysis Engineer

Micron Technology•Boise, ID

About The Position

Micron Technology is a world leader in memory and storage solutions. The Boise Expansion Team supports the expansion of leading-edge memory production in Boise, Idaho, through collaboration, innovation, operational excellence, and continuous improvement. As a Yield Analysis Engineer, you will improve fab yield through advanced data analysis, defect characterization, and root-cause investigation. You will work closely with Process Integration, Process Engineering, and Failure Analysis teams to identify yield limiters, drive corrective actions, and deliver sustainable yield improvements. The role combines semiconductor expertise, analytics, and AI-enabled tools to address complex manufacturing challenges.

Requirements

  • Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related technical field.
  • At least 3 years of semiconductor manufacturing experience.
  • At least 2 years of experience in semiconductor physics, transistor operation, device scaling, reliability, CMOS circuits, and characterization methods.
  • At least 2 years of experience using data analysis tools such as JMP, Python, or similar software.
  • Experience using AI, machine learning, or generative AI tools to enhance data analysis, automate workflows, and improve engineering productivity.

Nice To Haves

  • Master’s degree in Computer Science, Engineering, or a related technical field.
  • DRAM manufacturing experience.
  • 2–4 years of experience in Yield Analysis or RDA within a high-volume manufacturing environment.
  • Experience with defect inspection, metrology, process control, and failure analysis methodologies.
  • Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives.

Responsibilities

  • Monitor probe yields and trends to identify yield excursions, characterize yield loss, and explain gaps between target and actual performance.
  • Perform advanced data analysis and develop yield paretos to prioritize issues and guide factory yield-improvement efforts.
  • Apply statistical methods and data-mining techniques to identify root causes and uncover opportunities for process improvement.
  • Partner with Failure Analysis, Process Integration, and Process Engineering teams to correlate electrical, physical, and manufacturing data and drive issue resolution.
  • Develop and share best known methods, automation solutions, and analytical approaches across global teams to improve yield performance.

Benefits

  • Choice of medical, dental, and vision plans.
  • Income-protection benefit programs for illness or injury.
  • Paid family leave.
  • Paid time-off program.
  • Paid holidays.
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