Associate or Senior Product Yield Enhancement Development Failure Analysis Engineer (High Bandwidth Memory)

1000 Micron Technology, Inc.

Boise (ID)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision plans
Paid time off
Paid holidays
Income protection and paid family rest

Job summary

Micron Technology, Inc. in Boise, Idaho seeks a Level 2 or 3 HBM PDFA Engineer to advance next‑generation HBM devices from design to mass production.

You will perform electrical, physical, and statistical failure analysis to identify root causes and drive corrective actions across the product development failure analysis team. The role emphasizes collaboration with Product, Process, Test, Quality, and Manufacturing teams, with opportunities to apply AI-enabled analytics to improve yield,

Qualifications

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science or related field.
  • 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
  • 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
  • Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
  • Coursework, training, or practical experience in VLSI design, semiconductor processes, device physics, Python, and statistics.
  • Strong written and verbal communication skills with the ability to collaborate effectively in multifunctional engineering teams.

Responsibilities

  • Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
  • Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
  • Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
  • Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
  • Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
  • Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multifunctional teams.
  • Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.

Skills

Electrical failure analysis
Statistical analysis
AI / data analytics tools
Python
VLSI / semiconductor physics
Communication skills

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science

Tools

Python
JMP

Job description

Vision

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.

Micron in Boise, Idaho has a current need for a Level 2 or 3 HBM (High Bandwidth Memory) Product Yield Enhancement PDFA Engineer position open where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next‑generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time‑to‑market, and enabling rapid production ramp by identifying and resolving component‑level failures during new product introduction phases. In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multifunctional engineering teams and leverage advanced analytics, statistical methods, and AI‑enabled tools to improve failure detection, yield, reliability, and overall product performance.

Responsibilities
  • Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
  • Analyze component‑ and system‑level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI‑enabled tools.
  • Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
  • Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test‑related issues.
  • Identify process defects, assembly‑related failures, and test flow marginalities through detailed data analysis and characterization.
  • Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multifunctional teams.
  • Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
Minimum Qualifications
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
  • 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
  • 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
  • Demonstrated analytical and problem‑solving skills, including the application of statistical methods and tools for data analysis.
  • Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
  • Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
  • Strong written and verbal communication skills with the ability to collaborate effectively in multifunctional engineering teams.
Preferred Qualifications
  • 5+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
  • 5+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
  • Advanced coursework or hands‑on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
  • Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large‑scale data analysis, failure prediction, and root cause identification.
  • Experience using statistical analysis software such as JMP.
  • Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
  • Proven ability to communicate complex technical findings to diverse team members and lead multifunctional collaboration efforts.
Benefits
  • We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.
  • Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.
  • Additionally, Micron benefits include a robust paid time‑off program and paid holidays.
Equal Opportunity Statement

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.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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