Memory Performance Architect – Server Hardware Leader

Amazon Web Services (AWS); Seattle (WA); On-site; USD 159,200 - 215,300; Full time

Benefits offered by this job

Health insurance

RSUs (Restricted Stock Units)

401(k) matching

Paid time off

Job summary

AWS EC2 memory engineering team seeks a leader to drive memory roadmap and deliver high-quality server memory systems at scale. You will collaborate with hardware and software engineers to design, validate, and launch memory solutions aligned with AWS needs.

You will interact with interdisciplinary teams to monitor performance, troubleshoot issues, and ensure the memory stack meets demanding safety, security, and cost targets across the cloud platform.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering or related discipline.
• 5+ year of experience with customer support for successive debugging and root-causing memory failures.
• 5+ years of experience in memory, memory subsystem design.
• 5+ years of experience identifying & root-causing hardware and software issues in large scale systems.

Responsibilities

• Drive memory roadmap and ensure memory solutions meet quality and performance requirements.
• Interact with cross-functional teams to design, develop, validate, launch, monitor and troubleshoot at large scale.
• Lead engineering efforts to build high quality, architecturally sound server memory systems aligned with AWS business needs.

Skills

Memory debugging

Root-cause analysis

Memory subsystem design

Hardware troubleshooting

Communication skills

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Electronics Engineering

Master's degree

Job description

AWS EC2 memory engineering team seeks a leader to drive memory roadmap and deliver high-quality server memory systems at scale. You will collaborate with hardware and software engineers to design, validate, and launch memory solutions aligned with AWS needs.

You will interact with interdisciplinary teams to monitor performance, troubleshoot issues, and ensure the memory stack meets demanding safety, security, and cost targets across the cloud platform.