Drimva

Amazon

Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

$185K–$288K

Austin, TX +1 · Senior · Full-time · Posted Apr 14, 2026

Location
Austin, TX
Cupertino, CA
Experience
8+ years of design verification experience and 8+ years of testbench development experience.
Education
Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields.

About the job

Verifies and optimizes custom machine-learning accelerator system-on-chips for Amazon data centers.

What you'll do

  • Verify custom chip designs at the SOC level, integrating third-party IPs and VIPs into the SOC testbench.
  • Create test plans, random test cases, and coverage plans; maintain smoke tests and regression infrastructure.
  • Triage bugs and 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 with verification platforms, design levels, C/C++, scripting languages such as Python, AMBA and interconnect protocols, memory subsystems, or complex CPU, GPU, or ML accelerator designs.

Pay

USD 213,000.00 - 287,500.00 annually base salary; USD 185,200.00 - 250,000.00 annually base salary

Tools

System Verilog, UVM, FPGA, C/C++, Python, AMBA, AHB/APB/AXI, PCIe and UCIe

AI focus

The team develops Inferentia and Trainium SoCs for AI workloads; this role verifies custom machine-learning accelerator chip designs.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)