Micron
Staff Engineer, SSD Hardware PCIE
$146K–$297K
Longmont-MAX- Office, CO · Staff · Full-time · Posted Sep 29, 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, from specifications and bring-up through debugging, compliance, and system-level testing.
What you'll do
- Develop hardware and system specifications from architecture and product requirements; lead PCIe bring-up, characterization, debugging, validation, and compliance.
- Collaborate with internal engineering teams and external IP vendors to resolve issues and improve functionality.
- Drive system-level validation methods, automation, and test development; perform root-cause analysis across SSD use cases.
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 in PCIe Gen4, Gen5, and/or Gen6, host systems, root complexes, IP bring-up, validation, compliance, and interoperability testing; knowledge of LTSSM and post-silicon debug.
- Proficiency in Python, TCL, C, or similar languages, and experience with high-speed test and measurement equipment.
Nice to have
- Experience with PCIe subsystems in ASIC and/or FPGA environments; knowledge of SSD controller architectures, storage systems, or SoC integration and validation.
- Understanding of link equalization, DFE, receiver architectures, signal integrity, power integrity, and high-speed hardware, PCB, or SerDes challenges; Master’s degree or experience using AI tools such as Claude Code.
Pay
$146,000.00 - $297,000.00 USD a year (base salary)
Tools
PCIe Gen4, PCIe Gen5, PCIe Gen6, Python, TCL, C, ASIC, FPGA
AI focus
Expected to develop or bring capabilities in AI-enabled software development, including integrating LLMs and inference services, building agentic workflows using task decomposition, tool chaining, and RAG, applying responsible AI practices, and identifying opportunities for AI and automation. Preferred experience includes using AI tools such as Claude Code to create or verify code and improve validation efficiency.
Model-written summary · the original posting is authoritative