Amazon
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
$154K–$247K
Austin, TX +1 · Full-time · Posted Aug 13, 2026
- Location
- Austin, TX
Cupertino, CA - Education
- Bachelor's degree in Electrical Engineering or a related field; no equivalent-experience option stated.
About the job
Design and optimize efficient ASIC hardware for AWS machine-learning servers, including Inferentia, from microarchitecture and RTL through design-quality checks.
What you'll do
- Develop and implement high-performance, area- and power-efficient RTL; deliver synthesis- and timing-clean designs.
- Analyze architectures and microarchitectures to balance features, power, performance, and area; create microarchitectures and SystemVerilog RTL.
- Run lint and clock-domain-crossing checks and collaborate with architecture, verification, validation, synthesis, timing, and backend teams.
What they ask for
- Bachelor's degree in Electrical Engineering or a related field.
- Experience identifying bugs across 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.
- Formal verification; ARM or DSP ISAs; listed RF standards; or industry-standard tools and Python or Perl scripting.
Pay
176,600.00 - 247,300.00 USD annually (base salary, Cupertino); 153,600.00 - 215,000.00 USD annually (base salary, Austin)
Tools
SystemVerilog, Python, Perl, ARM, DSP ISAs, 4G/5G NR, WiMAX, 802.11ad
AI focus
Design hardware for machine-learning acceleration and inference, including AWS Inferentia.
Model-written summary · the original posting is authoritative