Senior AI-Driven Yield Enhancement Engineer (Electrical FA)

Micron Technology, Inc.; Boise (ID); On-site; USD 120,000 - 190,000; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho, seeks a Senior Yield Enhancement Electrical Failure Analysis Engineer to drive electrical failure analysis and yield improvement.

You will perform advanced data analytics, develop AI-assisted detection models, and collaborate with Design, Process, Product Engineering, and Data Science teams. You will lead root-cause investigations, create scalable analysis tools and dashboards, and mentor technicians while communicating findings to cross-functional

Qualifications

• Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or Chemical Engineering.
• Experience with advanced data analysis, statistics, and data visualization.
• Proficient with data analytics, scripting, automation (Python, SQL etc.).
• Ability to leverage AI tools and LLMs to improve investigation efficiency.

Responsibilities

• Perform electrical and failure analysis to identify yield detractors.
• Develop AI-assisted detection models and dashboards to speed investigations.
• Lead cross-functional reviews and report findings to management.
• Mentor engineers and technicians in FA techniques and data analytics.

Skills

Electrical failure analysis

Data analytics

Python scripting

AI tools

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or Chemical Engineering

Tools

Python

SQL

JMP

Power BI

Tableau

Merlin/Raptor tester platforms

Job description

Micron Technology, Inc. in Boise, Idaho, seeks a Senior Yield Enhancement Electrical Failure Analysis Engineer to drive electrical failure analysis and yield improvement.

You will perform advanced data analytics, develop AI-assisted detection models, and collaborate with Design, Process, Product Engineering, and Data Science teams. You will lead root-cause investigations, create scalable analysis tools and dashboards, and mentor technicians while communicating findings to cross-functional