Senior Yield Analytics Engineer - ESDA Data Science

Micron Memory Malaysia Sdn Bhd; Boise, Northern (ID, KY); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision plans

Paid time off

Paid holidays

Retirement savings (401k)

Job summary

Micron Technology in Boise, Idaho seeks a Senior Data Science & Product Yield Analytics Engineer to apply data science, ML, and analytics to semiconductor manufacturing data, enhancing ESDA capabilities and product yield.

You will work with global teams to develop predictive models, dashboards, and data-driven insights driving quality and reliability across memory products. Strong programming and ML skills required.

Qualifications

• BS or MS in Electrical Engineering, Computer Engineering, Data Science, Software Development, or a related technical field.
• Proficiency in at least one programming language and familiarity with machine learning and data science techniques.
• Familiarity with Micron's Improved Software for Defect Analysis (ESDA) system.

Responsibilities

• Expand and enhance ESDA capabilities to improve yield, quality, and product reliability.
• Develop yield, defect matching, and modeling methods to accelerate manufacturing feedback to RDA and YE teams.
• Create and maintain engineering software tools for ESDA analytics and product line monitoring.
• Collaborate with design, failure analysis, and product teams to optimize redundancy, compression, and defect analysis methodologies.
• Support next-generation memory devices through advanced analytics and data-driven insights.
• Use AI in applicable job functions.

Skills

Programming

Machine Learning

ESDA familiarity

Education

Electrical Engineering

Computer Engineering

Data Science

Software Development

Job description

Micron Technology in Boise, Idaho seeks a Senior Data Science & Product Yield Analytics Engineer to apply data science, ML, and analytics to semiconductor manufacturing data, enhancing ESDA capabilities and product yield.

You will work with global teams to develop predictive models, dashboards, and data-driven insights driving quality and reliability across memory products. Strong programming and ML skills required.