Yield Analysis Engineer

Micron TechnologyBoise, ID

About The Position

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Boise Expansion Team is helping build the future of semiconductor manufacturing as Micron expands its leading-edge memory production in Boise, Idaho. We are a collaborative organization focused on innovation, operational excellence, and continuous improvement. Join a team where your work will directly influence product quality, manufacturing performance, and the next generation of technology. As a Yield Analysis Engineer, you will play a key role in improving 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. This role offers the opportunity to combine semiconductor expertise, analytics, and AI-enabled tools to solve complex manufacturing challenges.

Requirements

  • Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related technical field
  • 3+ years of semiconductor manufacturing experience
  • 2+ years of experience in semiconductor physics, transistor operation, device scaling, reliability, CMOS circuits, and characterization methods
  • 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
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time-off program
  • Paid holidays
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