DESCRIPTION

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 of verifying high speed I/O and scale-up/out components across the SoC. You will take full ownership on delivering comprehensive verification solutions at a sub-system/chip level, with strong emphasis on system-wide implications and interactions. The ideal candidate will architect and implement advanced verification environments, and drive unified verification plans across multitude tools and methods. This role requires deep technical expertise to develop end-to-end verification strategies, 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
Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.

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.

BASIC QUALIFICATIONS

• Bachelor's degree or above in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline
• 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

PREFERRED QUALIFICATIONS

• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

• Experience in Python, Perl, or another scripting language

• Experience using multiple verification platforms (FV, emulation, test-generation)

• 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.