Staff SSD Systems Design Engineer - Onsite, High-Impact

Micron; Longmont (CO); On-site; USD 146,000 - 247,000; Full time

Job summary

Micron Technology in Longmont, Colorado, is hiring for a role at the center of SSD system design and verification, delivering reliable, high-performing products.

You will debug across firmware, hardware and system domains, characterize performance, power and thermal aspects, and ensure compliance. Collaboration with cross-functional teams is essential, as is applying AI-assisted debugging tools.

Qualifications

• Bachelor’s degree in electrical engineering, computer engineering, computer science, or related field or equivalent practical experience.
• Strong understanding of PCIe and NVMe protocols and system behavior.
• Knowledge of SSD architecture including FTL, NAND management, and controller interaction.
• Experience with lab tools such as oscilloscopes, analyzers, and debug platforms.
• Demonstrated use of AI Assisted tools for debugging, automation, or technical analysis.

Responsibilities

• Debug and resolve complex issues across firmware, hardware, and system domains
• Perform performance, power, thermal, and reliability characterization
• Ensure products meet defined performance, reliability, and compliance requirements
• Develop and apply test and characterization methodologies
• Support DFMEA and design review activities
• Collaborate effectively with cross-functional engineering, manufacturing and customer teams

Skills

SSD system design

PCIe/NVMe

AI-assisted debugging

lab analysis tools

cross-functional collaboration

Education

Bachelor’s degree in EE/CE/CS or related

Master’s degree (preferred)

Tools

Oscilloscopes

Analyzers

Debug platforms

Job description

Micron Technology in Longmont, Colorado, is hiring for a role at the center of SSD system design and verification, delivering reliable, high-performing products.

You will debug across firmware, hardware and system domains, characterize performance, power and thermal aspects, and ensure compliance. Collaboration with cross-functional teams is essential, as is applying AI-assisted debugging tools.