Jobs · Engineering · Texas

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

Amazon Web Services (AWS) · Austin, TX · 2 mo ago
EngineeringFull-time

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

Qualifications

  • 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, 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

Benefits

  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and 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

Pay

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

About The Team

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 include Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

We value work-life balance and encourage you to find your own flow between work and personal life. Flexibility in working hours is offered to help you establish this balance.

Our team is dedicated to supporting new members through mentorship and career growth. We have a broad mix of experience levels and tenures, fostering an environment that celebrates knowledge sharing. Senior members enjoy one-on-one mentoring, and we strive to assign projects that help each team member develop into a better-rounded engineer.

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