Amazon
Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers
$159K–$248K
Austin, TX +2 · Senior · Full-time · Posted Sep 9, 2026
- Location
- Austin, TX
Seattle, WA
Cupertino, CA - Experience
- 7+ years of hardware design and development experience for server, compute, or large-scale infrastructure platforms.
- Education
- Bachelor's degree in electrical engineering, computer engineering, or equivalent.
About the job
Defines and develops GPU-accelerated server platforms for AWS AI/ML workloads, leading design, validation, production ramp, and fleet quality.
What you'll do
- Define server architectures, designs, and component specifications; lead design reviews with ODM/JDM partners.
- Drive hardware validation and debug from PCBA bring-up through server and rack integration; investigate failures and implement corrective actions.
- Own post-launch fleet quality metrics and use operational data to drive platform and manufacturing improvements.
What they ask for
- Bachelor's degree in electrical engineering, computer engineering, or equivalent.
- Experience developing functional specifications, design verification plans, and functional test procedures.
- Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems.
- Experience leading hardware development through the full product lifecycle, from concept through production ramp.
Nice to have
- Master's degree or above in electrical engineering, computer engineering, or equivalent.
- Experience working in data centers or critical infrastructure.
Pay
USD 183,000.00 - 247,600.00 annually (base salary); USD 159,200.00 - 215,300.00 annually (base salary)
Tools
PCIe, NVMe, GPU, EVT, DVT, PVT, PCBA
AI focus
Designs and validates GPU-accelerated server hardware for AI/ML training and inference at cloud scale.
Model-written summary · the original posting is authoritative