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 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 the design, development, validation, and operational improvement 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 issues at scale.
- Own system reliability, debug failures, and develop diagnostic and monitoring tools for production systems.
- Collaborate with customers, vendors, and hardware, software, manufacturing, supply chain, and product teams to develop and manufacture systems.
What they ask for
- 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 specified engineering or related experience and 5+ years of process development experience; in-depth expertise in one or more server technologies.
Nice to have
- Master's degree or above in electrical engineering, computer engineering, or equivalent.
- Experience with interdisciplinary product development, server validation and issue root causing, data center operations, or relevant software and scripting.
Pay
USD 183,000.00 - 247,600.00 annually (base salary); USD 159,200.00 - 215,300.00 annually (base salary)
Tools
x86, CPU, GPU, SSD, BIOS, BMC, Linux/RHEL, PowerShell
AI focus
Designs and operates high-performance server and accelerator infrastructure for AI/ML training and inference workloads.
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