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Staff Engineer, FW & Product Test

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Micron Technology
Full Time position
Listed on 2026-08-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Testing, AI QA / Validation Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 121000 - 239000 USD Yearly USD 121000.00 239000.00 YEAR
Job Description & How to Apply Below

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Firmware & Product Test (FPT) team at Micron Technology holds a pivotal role in validating firmware specifications for SSDs. The team develops comprehensive verification plans, implements them using Python, and ensures strict alignment to NVMe standards and security protocols. Validation occurs across multiple environments, including simulation, FPGA prototyping, and prototype hardware.

Summary Of

The Role

The Engineer (E4) in the Firmware & Product Testing (FPT) team supports the validation of enterprise SSD firmware through test development, automation, execution, and failure analysis. This role focuses on NVMe front-end features and customer specifications while applying Python-based automation and data-driven techniques to improve test efficiency and product quality. Working closely with firmware test engineers, senior mentors, and data scientists, the engineer gains hands‑on experience at the intersection of firmware validation and AI/ML, contributing to more effective and scalable testing methodologies.

Responsibilities
  • Develop and implement firmware verification plans for customer requirements and NVMe protocol features, including SMART, Trim, Get Log Page, and OCP
  • Analyze regression and validation failures, perform root‑cause analysis, and communicate findings and mitigation plans
  • Develop and enhance test automation, reporting, and data‑collection tools within established validation frameworks
  • Leverage AI‑assisted tools, LLMs, and agent‑based solutions to improve test development, failure analysis, workflow automation, and validation efficiency
Minimum Qualifications
  • Bachelor’s degree and approximately 9 years of relevant experience, or Master’s degree and approximately 7 years of experience, in Computer Science, Data Science, Electrical Engineering, Computer Engineering, or a related field
  • Proficiency in Python, including experience with libraries such as Num Py, pandas, and Scikit‑learn
  • Experience with test automation, testing methodologies, validation frameworks, and code review practices
  • Working knowledge of machine learning fundamentals, model evaluation concepts, and data‑driven problem solving
  • Experience using AI-enabled development tools, LLMs, prompt engineering techniques, or AI-driven workflows in software development, automation, or data analysis
Preferred Qualifications
  • Experience with machine learning frameworks such as Tensor Flow or Py Torch
  • Experience applying machine learning, data science, or AI solutions to engineering, testing, or analytics challenges
  • Understanding of embedded systems, firmware validation, hardware testing, or enterprise storage technologies
  • Familiarity with Git, Agile development practices, and modern software engineering workflows
  • Experience building or integrating AI-enabled automation solutions using Generative AI, LLMs, agent-based frameworks, Git Hub Copilot, Microsoft Copilot, Claude Code, or similar tools

Micron Technology is committed to advancing memory and storage solutions through engineering excellence, cross‑functional collaboration, and responsible innovation.

The US base salary range that Micron Technology estimates it could pay for this full‑time position is:

$ - $ a year

Additional Compensation May Include Benefits, Bonuses And Equity.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job‑related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details…

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