HBM Media Health Product Engineer (DFT)

Micron Technology•Boise, ID

36d

About The Position

As a Product Engineer on Micron Technology’s High Bandwidth Memory (HBM) Media Health team, you will partner with Fab, Yield Improvement, Design, and other engineering groups to develop, deploy, optimize, and innovate test strategies for Micron’s DRAM in HBM products. The team develops new and improved test strategies and features. You will guide development of Probe (wafer-level), Burn-in, and ATE test code and techniques used to validate device performance. You will also debug code and help specialists characterize applicable HBM devices. The role requires an in-depth understanding of HBM device functionality, schematics, and signal integrity.

Requirements

Bachelor’s degree or equivalent experience in Computer Engineering or Electrical Engineering.
Three years of experience in DRAM or other memory testing.

Nice To Haves

Master’s degree.
Understanding of semiconductor fabrication processes, defectivity and marginality, and degradation mechanisms.
Basic analog and digital circuit design knowledge and understanding.
Programming experience in C, C++, and Python.
Familiarity with engineering tools in a Linux environment and Linux command-line skills.
Familiarity with AI tools such as Claude Code for engineering development tasks.

Responsibilities

Work with Design Engineering to run pre-silicon simulations that validate DFT circuits and test modes, and communicate any design issues found.
Work with Media Health and test teams on pre-silicon tasks to define required tester resources.
Partner with Test Engineering and HBM Product Engineering to understand product requirements and limitations, helping ensure silicon performance meets expectations through test-program debugging, data examination, and test development.
Support the ID1 fabrication site’s Process Integration and Yield Enhancement teams through test development and DOE data analysis, focusing on the effect of testing on product yield and quality.
Debug failures and identify root causes using data, electrical, and physical analysis techniques.
Use AI with existing engineering tools to improve test flows and strategies and enhance yield.
Monitor yields against projections and investigate root causes promptly when yields do not meet them.
Provide technical training and expertise, including on-the-job training for new engineers, assistance with data interpretation, serving as a product-specific point of contact, and attending technical seminars.
Craft and deliver presentations for meetings with partner teams.
Support critical Micron initiatives through high-value-added projects.
Automate routine engineering tasks using AI-augmented scripts, data analysis, and reporting.