Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs; AWS

Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration – Annapurna Labs

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that power today’s AI workloads in datacenters 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 – it’s still Day One here zon Web Services provides a highly reliable, scalable, low‑cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries.

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 emerging technologies.

• Verify custom chip designs at the SOC level
• Integrate third‑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

• 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+ years of testbench development experience (stimulus, checkers, assertions, and coverage)

• Experience verifying multiple levels of design including custom blocks, IP blocks, subsystems, and full‑chip SOC system testing
• Experience using multiple verification platforms
• Experience with C/C++ and object‑oriented programming
• Experience with scripting languages such as Python
• Experience with AMBA protocols such as AHB/APB/AXI
• Experience with interconnect protocols such as PCIe and UCIe
• Experience with memory subsystems, including cache coherency and synchronization techniques
• Experience verifying complex CPU, GPU, or ML accelerator designs

Our base salary range for this position varies by location. 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 optional supplemental life plans), employee assistance program, 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 (Use the "Apply for this Job" box below)..

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