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

• 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

• 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, * 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, 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

The base salary range for this position is listed below. 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 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

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., Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our 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. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.