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