Amazon
Sr Hardware Development Engineer, High Performance AI & ML Servers
$159K–$248K
Austin, TX +2 · Senior · Full-time · Posted May 26, 2026
- Location
- Austin, TX
Seattle, WA
Cupertino, CA - Experience
- 5+ years of relevant design, innovation, research & development, manufacturing, process, industrial engineering, or related experience; 5+ years of process development experience. Preferred: 10+ years of server, storage, networking, or large-scale distributed systems experience; 5+ years of data center engineering or operations experience.
- Education
- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent; master's degree or above preferred.
About the job
Leads design, development, and operational reliability of high-performance server and accelerator systems for AI/ML and HPC workloads.
What you'll do
- Lead architectural solutions for server and rack system challenges; design solutions to system-level problems at scale.
- Own system reliability, diagnose complex failures, and develop production diagnostics and monitoring tools.
- Coordinate system development with customers, vendors, ODM/JDM teams, and internal engineering and product groups.
What they ask for
- Experience developing functional specifications, design verification plans, and functional test procedures.
- Experience with 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 relevant design, R&D, manufacturing, process, industrial engineering, or related experience; 5+ years of process development experience.
Nice to have
- Master's degree or above in electrical engineering, computer engineering, or equivalent.
- Experience with interdisciplinary product development, server validation and root-cause analysis, or data center engineering and operations.
Pay
183,000.00 - 247,600.00 USD annually (base salary); 159,200.00 - 215,300.00 USD annually (base salary); 159,200.00 - 215,300.00 USD annually (base salary)
Tools
x86, CPU, GPU, SSD, BIOS, BMC, Linux/RHEL, PowerShell
AI focus
Builds and operates high-performance server infrastructure for AI/ML training and inference workloads.
Model-written summary · the original posting is authoritative