Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs (AWS)

Amazon; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Amazon is seeking experienced Design Verification Engineers for the MLA team to design and optimize custom silicon for cloud AI workloads. You will verify SOC designs, integrate IPs, and develop comprehensive test plans and testbenches for Inferentia/Trainium chips in AWS data centers.

You will work with multiple verification platforms, use SystemVerilog/UVM, and mentor junior engineers while contributing to silicon yield and performance improvements on a global scale.

Qualifications

• 8+ years of design verification experience using SystemVerilog and UVM.
• 8+ years of YOE in testbench development including stimulus, checkers, assertions and coverage.
• Experience verifying multiple levels of design including custom blocks, IP blocks, subsystems, and full-SoC testing.
• Experience with multiple verification platforms and scripting languages.

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.

Skills

SystemVerilog

UVM

Testbench development

C/C++

Python scripting

Education

Bachelor's degree or higher in CS/CE/EE

Tools

AMBA protocols (AHB/APB/AXI)

PCIe/UCIe interconnect

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 https://amazon.jobs/en/benefits.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.