Amazon
Sr. Hardware Engineer - ML Acceleration, Annapurna Labs
$185K–$288K
Austin, TX +1 · Senior · Full-time · Posted Oct 20, 2026
- Location
- Austin, TX
Cupertino, CA - Education
- Bachelor's degree in Electrical Engineering or a related field.
About the job
Defines, designs, and validates AWS machine-learning chips, cards, and server integrations, focusing on PCIe and SerDes hardware for data-center deployments.
What you'll do
- Design and validate next-generation ML chips, cards, and server integration, including PCIe and SerDes topics.
- Design and optimize data-center hardware, applying new technologies to large-scale server deployments.
- Collaborate with vendors and internal teams to debug and resolve issues; automate testing and data collection.
What they ask for
- Bachelor's degree in Electrical Engineering or a related field.
- Deep knowledge of PCIe Gen4 or above at chip and PCB levels, including electrical and functional aspects.
- Deep understanding of transmission line theory and electromagnetics as applied to SerDes and other interfaces.
- Hands-on lab equipment skills for electrical validation and characterization, plus scripting skills to automate tests, log parsing, and data collection.
Nice to have
- Experience with server hardware design, design validation, production tests, and high-speed interface signal integrity.
- Knowledge of product development from concept to mass production; experience with x86 or ARM server design or architecture.
Pay
USD 213,000.00 - 287,500.00 annually (base salary); USD 185,200.00 - 250,000.00 annually (base salary)
Tools
PCIe, SerDes, VNA, Realtime scope, Sampling scope, x86, ARM
AI focus
Design and validate hardware for machine-learning acceleration chips, cards, and data-center server deployments.
Model-written summary · the original posting is authoritative