Amazon
Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
$185K–$288K
Austin, TX +1 · Senior · Full-time · Posted Mar 2, 2026
- Location
- Austin, TX
Cupertino, CA - Experience
- 8+ years in design verification using System Verilog and UVM; 8+ years in testbench development.
- Education
- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
About the job
Verifies and optimizes custom machine-learning accelerator system-on-chips for use in AWS data centers.
What you'll do
- Verify SOC designs, integrate third-party IPs and VIPs into testbenches, and develop testplans and random testcases.
- Execute coverage plans, maintain autosmoke and regression infrastructure, and investigate bugs.
- Mentor junior engineers.
What they ask for
- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- 8+ years of design verification experience using System Verilog and UVM.
- 8+ years of testbench development, including stimulus, checkers, assertions, and coverage.
Nice to have
- Experience verifying designs across blocks, IPs, subsystems, and full-chip SOCs, or using multiple verification platforms.
- Experience with C/C++, object-oriented programming, Python, AMBA or interconnect protocols, memory subsystems, or CPU, GPU, or ML accelerator designs.
Pay
213,000.00 - 287,500.00 USD annually (base salary); 185,200.00 - 250,000.00 USD annually (base salary)
Tools
System Verilog, UVM, C/C++, Python, AMBA, AHB, APB, AXI
AI focus
Verifies custom Inferentia and Trainium machine-learning accelerator chips used for AI workloads.
Model-written summary · the original posting is authoritative