Staff SSD Firmware Test Engineer at Micron Technology, Inc.
Longmont, CO
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Jul 29, 2026
Longmont, CO
Sep 24, 2026
What this job asks for AI summary
A Staff Engineer role on Micron's Firmware & Product Test team, focused on leading validation strategy for enterprise SSD firmware. The position involves architecting scalable test frameworks, applying AI/ML techniques to test optimization and failure analysis, and owning end-to-end verification of NVMe front-end features across simulation, FPGA, and prototype hardware environments. It also carries a mentorship and cross-functional influence component, shaping firmware architecture decisions through validation insights.
Staff level · 8+ years · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location is specified in the posting; Micron's primary US engineering sites include Boise, ID and San Jose, CA, but this cannot be confirmed from the text alone — CBSA left blank.
The role is classified as QA/testing (15-1253) given its primary focus on firmware validation, test framework architecture, and verification strategy; however, the emphasis on building production automation frameworks and deploying ML models in code gives it a meaningful software development character (15-1252 as runner-up).
The degree requirement is a hard gate (Bachelor's required), but the JD offers reduced experience thresholds for Master's (~6 years) or PhD (~4 years) holders — the minimum combination captured is Bachelor's + 8 years.
ML/model design, training, and deployment is listed under Basic Qualifications with firm language ('Demonstrated experience'), making it a hard gate even though no specific framework is named there; TensorFlow/PyTorch appear only under Preferred Qualifications.
NVMe, PCIe, OCP, NAND flash, Rust/C, Linux/Windows, and Git/CI/CD all appear under Preferred Qualifications and are marked accordingly.
The 'Staff Engineer' title is taken at face value for advertised seniority; the actual scope — cross-team technical authority, mentoring, influencing architecture, owning infrastructure roadmap — genuinely supports a Staff-level classification as well.
Read the full posting
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