Amazon
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
$185K–$288K
Austin, TX +2 · Senior · Full-time · Posted Apr 13, 2026
- Location
- Austin, TX
San Diego, CA
Cupertino, CA - Experience
- 8+ years of design verification using System Verilog and UVM, and 8+ years of 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 silicon for cloud datacenters, from SOC testbench integration through coverage, regression, and bug triage.
What you'll do
- Verify custom chip designs at the SOC level and integrate third-party IPs and VIPs into SOC testbenches.
- Develop test plans and random test cases, execute coverage plans, and maintain smoke-test and regression infrastructure.
- Investigate and triage 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
- Verification experience across custom blocks, IP blocks, subsystems, and full-chip SOC systems; experience with multiple verification platforms.
- Experience with C/C++, object-oriented programming, scripting languages such as Python, AMBA or interconnect protocols, memory subsystems, or complex 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
Develops and verifies Inferentia and Trainium machine-learning accelerator silicon for datacenter AI workloads.
Model-written summary · the original posting is authoritative