Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and our Custom Silicon organization is revolutionizing how we deliver cloud services to our customers. You’ll be part of a team that drives innovation in custom chip development, directly impacting the future of cloud computing.
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be developing hardware solution for AWS data center including AWS Inferentia,Trainium systems - custom designed machine learning data center accelerator.
We are looking for a passionate Design Verification Engineer to join our newly formed team responsible for verifying high-speed I/O and scale-up/out components across the SoC. You will take full ownership of delivering comprehensive verification solutions at a sub-system/chip level, with strong emphasis on system-wide implications and interactions. This role requires developing and implementing verification environments using state-of-the-art simulation methodology. You will create robust test scenarios and collaborate closely with design, architecture, and software teams to ensure thorough coverage of hardware-software interfaces and cross-module functionality.
Key job responsibilities
- Architect and implement end-to-end verification strategies addressing system-wide implications and cross-module interactions
- Drive unified verification plans across multiple environments, tools and methodologies
- Provide technical leadership for verification efforts, guiding architectural decisions and methodology choices
- Own the technical direction and drive resolution of complex verification challenges at sub-system and chip-level, providing hands-on technical guidance and effective solutions
- Guide and mentor team members on best practices, methodology improvements, and technical problem-solving
The ideal candidate should have proven experience leading verification efforts at block, sub-system or chip level, with hands-on experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing. Experience using multiple verification platforms including formal verification, emulation, and test-generation tools is highly desired.
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 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 16 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.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
- 8+ years of design verification experience using constrained-random simulation techniques (such as UVM)
- 8+ years of experience in testbench development including stimulus, checkers, assertions and coverage
- Experience with C/C++ and Object-Oriented Programming
- Experience with AMBA protocols, for e.g. AHB/APB/AXI
- Experience with interconnect protocols, such as PCIe and UCIe
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, ON, Toronto - 138,600.00 - 231,400.00 CAD annually
