Drimva

Micron

Staff Engineer, FW & Product Test

$121K–$239K

Longmont, CO +1 · Staff · Full-time · Posted Aug 21, 2026

Location
Longmont, CO
San Jose, CA
Experience
Approximately 9 years with a Bachelor’s degree, or approximately 7 years with a Master’s degree.
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Computer Engineering, or a related field.

About the job

Validates enterprise SSD firmware by developing and automating tests for NVMe features and customer requirements, analyzing failures, and applying AI-assisted methods to improve testing.

What you'll do

  • Develop verification plans and tests for customer requirements and NVMe features, including SMART, Trim, Get Log Page, and OCP.
  • Analyze validation and regression failures, identify root causes, and communicate findings and mitigation plans.
  • Build test automation, reporting, and data-collection tools; use AI-assisted tools and workflows to improve validation efficiency.

What they ask for

  • Bachelor’s degree and approximately 9 years of relevant experience, or Master’s degree and approximately 7 years of experience, in a stated or related field.
  • Proficiency in Python, including NumPy, pandas, and Scikit-learn.
  • Experience with test automation, testing methodologies, validation frameworks, and code review practices.
  • Working knowledge of machine learning fundamentals, model evaluation, data-driven problem solving, and AI-enabled development tools or workflows.

Nice to have

  • Experience with TensorFlow or PyTorch and applying AI, machine learning, or data science to engineering or testing.
  • Understanding of embedded systems, firmware validation, hardware testing, or enterprise storage; familiarity with Git, Agile, or AI-enabled automation tools.

Pay

$121,000.00 - $239,000.00 a year (USD, base salary)

Tools

Python, NumPy, pandas, Scikit-learn, TensorFlow, PyTorch, Git, NVMe

AI focus

Uses AI-assisted tools, LLMs, prompt engineering, and agent-based solutions to improve test development, failure analysis, workflow automation, and validation efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)