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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 testplans, write robust random testcases, and execute coverage plans
– maintain autosmoke and regression infrastructure
– dive deep into bugs and triages
– mentor junior engineers
– BS Degree or Higher in EE or CS or CE.
– 8+ years of design verification experience using System Verilog and UVM
– 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage
– 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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