Drimva

Micron

Staff SSD Hardware PCIe Engineer

$138K–$280K

Longmont-MAX- Office, CO · Staff · Full-time · Posted Sep 16, 2026

Experience
No specific number of years stated.
Education
Bachelor’s degree in Electrical Engineering, Computer Engineering, Electronics Engineering, or a related field, or equivalent experience.

About the job

Leads PCIe subsystem development and validation for SSD controller SoCs, including bring-up, debug, compliance, and system-level testing.

What you'll do

  • Develop hardware and system specifications from architectural and product requirements.
  • Lead PCIe bring-up, characterization, debugging, validation, and compliance for SSD controller SoCs.
  • Drive system-level validation methods, automation, test development, and root-cause analysis.

What they ask for

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Electronics Engineering, or a related field, or equivalent experience.
  • Proven experience in hardware development, silicon validation, PCIe subsystem engineering, or related areas.
  • Expertise with PCIe Gen4, Gen5, and/or Gen6, host systems, root complexes, IP bring-up, validation, compliance, and interoperability testing; extensive knowledge of PCIe LTSSM and post-silicon debug.
  • Proficiency in Python, TCL, C, or similar languages, and experience using high-speed test and measurement equipment.

Nice to have

  • PCIe subsystem experience in ASIC and/or FPGA environments; SSD controller, storage, or SoC integration knowledge.
  • Master’s degree in Electrical Engineering or a related field; experience using AI tools such as Claude Code.

Pay

$138,000.00 - $280,000.00 a year (USD, base salary)

Tools

PCIe Gen4, PCIe Gen5, PCIe Gen6, Python, TCL, C, ASIC, FPGA

AI focus

Includes an expectation to develop or bring AI-enabled software development capabilities, including integrating AI/ML, LLMs and inference services; agentic architectures; task decomposition, tool chaining, RAG, and context-aware systems; responsible AI evaluation, observability, and safe deployment; and identifying AI and automation opportunities.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)