About this opportunity
Amazon lists this Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs (AWS) opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today’s AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll collaborate with multiple teams to drive improvements in silicon yield and performance. Amazon Web Services powers businesses across 190 countries, with data center locations in the U.S., Europe, Singapore, and Japan. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips.
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of custom silicon in our data centers.
Key job responsibilities
Verify custom chip designs at the SOC level
Integrate 3rd party IPs and VIPs into the SOC testbench
Create comprehensive test plans, write robust random testcases, and execute coverage plans
Maintain autosmoke and regression infrastructure
Dive deep into bugs and triages
Mentor junior engineers
Basic Qualifications
Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields
8+ years of design verification experience using System Verilog and UVM
8+ YOE in testbench development including stimulus, checkers, assertions and coverage
Preferred Qualifications
Experience verifying multiple levels of design including custom blocks, IP blocks, sub‑systems, and full‑chip SOC system testing
Experience using multiple verification platforms
Experience with C/C++ and Object‑Oriented Programming
Experience with scripting languages, e.g., Python
Experience with AMBA protocols, e.g., AHB/APB/AXI
Experience with interconnect protocols, e.g., PCIe and UCIe
Experience with memory sub‑systems, including cache coherency and synchronization techniques
Experience verifying complex CPU, GPU, or ML accelerator designs
Your base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.