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 and 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; a master's degree or above is preferred.
About the job
Leads the design, development, reliability, diagnostics, and production-scale deployment of high-performance server and accelerator systems for AI/ML and HPC workloads.
What you'll do
- Lead architectural solutions and address system-level problems in high-performance servers, accelerator servers, and rack systems.
- Own system reliability, debug failures, and develop diagnostic and monitoring solutions for production systems.
- Collaborate with customers, vendors, and cross-functional teams to develop, manufacture, and improve server systems.
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 Design/Innovation, research & development, 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 design from concept to production, server validation, or issue root causing.
Pay
USD 183,000.00 - 247,600.00 annually (base salary); USD 159,200.00 - 215,300.00 annually (base salary)
Tools
x86 architecture, CPU, GPU, SSD, BIOS, BMC, Linux/RHEL, PowerShell
AI focus
Builds and operates server infrastructure for AI/ML training and inference workloads.
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