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

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power todays AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration youll collaborate with multiple teams to drive improvements in silicon yield & performance - its 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; were handling massive scale and rapid integration of emergent technologies.

As a member of the Cloud-Scale Machine Learning Acceleration team youll 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

About the team
Inclusive Team Culture

Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 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. Amazons 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 isnt about how many hours you spend at home or at work; its 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.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

- Bachelors 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 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 CA Cupertino - 183000.00 - 247600.00 USD annually
USA TX Austin - 159200.00 - 215300.00 USD annually