Amazon
ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration
$154K–$215K
Austin, TX +2 · Full-time · Posted Sep 1, 2026
- Location
- Austin, TX
San Diego, CA
Cupertino, CA - Experience
- 3+ years of non-internship design or architecture experience; preferred: 3+ years of full software development life cycle experience.
- Education
- Bachelor's degree or equivalent; preferred: Master's degree in computer science or equivalent.
About the job
Design and optimize ASIC hardware for AWS machine-learning servers, including developing efficient RTL and delivering synthesis- and timing-clean designs.
What you'll do
- Develop high-performance, area- and power-efficient RTL designs and create microarchitectures.
- Analyze designs and architectures to balance features, power, performance, and area; run lint and clock-domain-crossing checks.
- Collaborate with architecture, design, verification, validation, synthesis, timing, and back-end teams.
What they ask for
- Bachelor's degree or equivalent.
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Nice to have
- Master's degree in computer science or equivalent.
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Pay
153,600.00 - 215,000.00 USD annually (base salary)
Tools
SystemVerilog, RTL, ASIC, SoCs, AWS Inferentia
AI focus
Design and optimize hardware for machine-learning acceleration, including AWS Inferentia, a machine-learning inference server.
Model-written summary · the original posting is authoritative