Amazon
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
$177K–$247K
Cupertino, CA · Full-time · Posted Jun 22, 2026
- Education
- Bachelor's degree in Electrical Engineering or a related field.
About the job
Design and optimize ASIC hardware for AWS machine-learning servers, including creating efficient RTL and delivering designs that meet performance, power, and area targets.
What you'll do
- Develop and implement high-performance, area- and power-efficient RTL; create microarchitectures and deliver synthesis- and timing-clean designs.
- Analyze architectures and designs 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 in Electrical Engineering or a related field.
- Experience identifying bugs in architecture, algorithms, functionality, and performance, with strong debugging skills.
- Experience verifying logic at multiple levels, from IP blocks and SoCs to full-system testing.
Nice to have
- Master's degree in Electrical or Communications Engineering or a related field.
- Experience with formal verification, ARM or DSP ISAs, wireless standards, or Python or Perl automation.
Pay
176,600.00 - 247,300.00 USD annually (base salary)
Tools
SystemVerilog, Python, Perl, ARM, DSP ISAs
AI focus
Design and optimize hardware for machine-learning inference, including AWS Inferentia.
Model-written summary · the original posting is authoritative