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Job Details

New College Graduate - Product Yield Enhancement Engineer, HBM

  2026-06-14     Micron Technology     Boise,ID  
Description:

HBM PYE PDFA Engineer

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.

As an HBM PYE PDFA Engineer, you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production. You will focus on product reliability and component failure analysis at new HBM product introductions to enable rapid production ramp and early time to market. This position requires the use of electrical and physical characterization techniques combined with AI-Assisted and AI-Enabled methodologies and statistical analysis to identify failures introduced by fabrication and assembly processes, as well as testing marginalities. You will be responsible for communicating and coordinating component-level improvement activities with Product, Process, Quality, and Test Engineering teams.

Responsibilities

  • Perform electrical and statistical failure analysis to understand failure mechanisms
  • Identify causes of component failures through data analysis
  • Work closely with partner engineering teams to resolve fabrication and assembly process defect-related issues and test flow marginalities
  • Apply AI-Assisted data analysis and AI-Enabled workflows, along with statistical tools, to improve component performance and identify failure trends

Minimum Qualifications

  • Bachelor's degree in Electrical or Computer Engineering, Physics, or Materials Science
  • Undergraduate coursework in VLSI, device physics, semiconductor processes, Python, and statistics
  • Analytical abilities combined with proficiency in applying statistical tools for analyzing data
  • Basic experience applying AI-Assisted methodologies or AI-Enabled workflows to support data analysis and engineering problem-solving

Preferred Qualifications

  • Experience using electrical and statistical failure analysis to understand failure mechanisms
  • Experience in the application of electrical and physical characterization techniques
  • Advanced coursework in VLSI, device physics, semiconductor processes, Python, and statistics
  • Experience leveraging AI-Assisted techniques or AI-Enabled approaches for component failure analysis
  • Demonstrated strong communication skills in a multi-functional team environment

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.


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