A complete application in a minute — tailored resume and cover letter, ready to send.
Micron Technology, a global leader in memory solutions, seeks a Senior HBM Electrical Failure Analysis Engineer to join the DEMQRA team. You will perform electrical characterization and failure analysis on HBM products, distinguishing between package and device related issues, and applying AI to improve test time and accuracy.
Responsibilities include analyzing failed components, interpreting data, coordinating cross-group analyses, and supporting lab operations with equipment and data
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
As a Global Quality (GQ) High Bandwidth Memory (HBM) Electrical Failure Analysis (EFA) Engineer on the DRAM/Emerging Memory Quality and Reliability Assurance team (DEMQRA) at Micron Technology, Inc., you will be responsible for the electrical characterization and electrical failure analysis (EFA) of all HBM products. You will need to distinguish whether it is package or device related failures. Preferably, you are equipped with knowledge of DRAM functionality, process, test program and device necessary for making solid judgment. You will also use a variety of test tools including the uMate tester, Merlin, Mongoose SM3 , Prober, CAD layout tool, and a variety of technical drawings and schematics to perform detailed characterization on HBM products. You will record and categorize failures in order to determine failure mechanisms and characteristics. In this role, you will communicate with various engineering groups, assist lab users with equipment setup and interpretation of data, and maintain critical EFA knowledge database. You will also be expected to apply AI to seek ways to improve the EFA process in order to reduce test time, increase throughput, and increase failure mechanism assignment accuracy and consistency.
Required: Bachelor's degree in Electrical / Electronics/ Computer Engineering
Desired: Master's Degree in Electrical / Electronics/ Computer Engineering