Senior Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers

What you'll do

• Define server architectures, detailed designs, and component specifications based on workload needs.
• Lead validation, hardware debugging, and root-cause analysis from PCBA bring-up through rack integration and datacenter deployment.
• Own post-launch fleet quality metrics and drive corrective actions and continuous improvements with engineering teams and development partners.

What they ask for

• 7+ years of equivalent experience.
• Experience developing functional specifications, design verification plans, and functional test procedures.
• Experience in server technologies such as thermal, mechanical, power, and signal integrity.
• Bachelor's degree or above in electrical engineering, computer engineering, or equivalent; 5+ years of related experience; process improvement, systems development, and project management experience; English communication skills; and in-depth expertise in one or more server technologies.

Nice to have

• Experience leading engineering teams as a mentor or tech lead, or troubleshooting/debugging hardware.
• Experience with new hardware product development, ODM/manufacturer lifecycle, fleet-scale failure detection, accelerator platforms, or large-scale datacenter environments.

Pay

183,000.00 - 247,600.00 USD annually (base salary); 159,200.00 - 215,300.00 USD annually (base salary)

Tools

PCIe, NVLink, NVMe, GPU, CPU, SSD, BIOS, BMC

AI focus

Designs and validates GPU-accelerated server hardware for AI training and inference workloads.