DRAM Yield Analysis Engineer (DA) - AI & Data-Driven

Micron Technology, Inc

Boise, Northern (ID, KY)

Hybrid

USD 110,000 - 170,000

Full time

4 days ago
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Job summary

Micron Technology, Inc in Boise, Idaho, is seeking a Yield Analysis (DA) engineer to drive end-of-line device yield improvements for future memory products. You will analyze end-of-line test data, apply machine learning methods, and collaborate with R&D and manufacturing to predict performance and accelerate transfer to production.

The ideal candidate has a semiconductor background, proficiency in data analytics and programming (JavaScript, Python, R, SQL), strong communication skills, and a CIP

Qualifications

  • Bachelor degree with 5 years of industrial semiconductor experience.
  • Good understanding of semiconductor processing.
  • Demonstrated expertise in CMOS operation and memory cell operation.
  • Strong data extraction, analysis and reporting capabilities.
  • Excellent communication and presentation skills.
  • Proficiency in JavaScript, Python, R, and SQL.

Responsibilities

  • Analyze end-of-line test, parametric and fab data to identify design, process, and test issues that are impacting yield.
  • Develop new tools for yield analysis and implement machine learning techniques to improve efficiency and accuracy.
  • Identify interactions between process modules and equipment to detect failure mechanisms.
  • Lead cross-functional teams to troubleshoot yield issues.
  • Publish and present reports on analysis of process experiments.
  • Support transfer of new parts from R&D to manufacturing.

Skills

JavaScript
Python
R
SQL
Machine Learning
Data Analysis
CMOS fundamentals
Communication skills
Team collaboration

Education

Bachelor's degree

Job description

Micron Technology, Inc in Boise, Idaho, is seeking a Yield Analysis (DA) engineer to drive end-of-line device yield improvements for future memory products. You will analyze end-of-line test data, apply machine learning methods, and collaborate with R&D and manufacturing to predict performance and accelerate transfer to production.

The ideal candidate has a semiconductor background, proficiency in data analytics and programming (JavaScript, Python, R, SQL), strong communication skills, and a CIP

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