About The Position

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, you’ll collaborate with multiple teams to drive improvements in silicon yield & performance - it’s still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. 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.

Requirements

  • 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

Nice To Haves

  • Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing.
  • Experience using multiple verification platforms.
  • Experience with C/C++ and Object-Oriented Programming.
  • Experience with scripting languages, for e.g. Python.
  • Experience with AMBA protocols, for e.g. AHB/APB/AXI
  • Experience with interconnect protocols, for e.g. PCIe and UCIe
  • Experience with memory sub-systems, including cache coherency and synchronization techniques
  • Experience with verifying complex CPU, GPU, or ML accelerator designs

Responsibilities

  • Verify custom chip designs at the SOC level
  • Integrate 3rd party IPs and VIPs into the SOC testbench
  • Create comprehensive testplans, write robust random testcases, and execute coverage plans
  • Maintain autosmoke and regression infrastructure
  • Dive deep into bugs and triages
  • Mentor junior engineers

Benefits

  • 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
  • parental leave
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