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

Micron Technology, Inc.; Boise (ID); Hybrid; USD 110,000 - 170,000; Full time

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