Sr MLA Design 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 worldwide. 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.

About the role

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. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. You’ll be responsible for the design and optimization of custom silicon in our data centers.

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

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+ years of experience in testbench development including: stimulus, checkers, assertions, and coverage

Skills

• Experience using multiple verification platforms: UVM test bench, FPGA, emulator, software environments, and system testing
• Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing
• 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 with verifying complex CPU, GPU, or ML accelerator designs

About the team

Here at AWS, we embrace our differences and are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40,000 employees in over 190 chapters globally. Our innovative benefit offerings and ongoing learning experiences reinforce our inclusive culture.

We value work-life balance, focusing on the flow that brings energy to both your personal and professional life. We offer flexibility in working hours to help you find your own balance.

Our team supports new members through mentorship and career growth opportunities. We celebrate knowledge sharing and provide one-on-one mentoring. We care about your career growth and assign projects to help you develop into a better-rounded engineer.

Pay

• USA, CA, Cupertino: $183,000.00 - $247,600.00 USD annually
• USA, TX, Austin: $159,200.00 - $215,300.00 USD annually

Benefits

• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance with option for supplemental life plans
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off and parental leave
• Sign-on payments and restricted stock units (RSUs)

Learn more about our benefits at amazon.jobs/en/benefits.