Sr. Design Verification Engineer, Annapurna Labs

About the Role 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 solutions for AWS data centers, including AWS Inferentia and Trainium systems—custom designed machine learning data center accelerators.

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. The ideal candidate will architect and implement advanced verification environments, and drive unified verification plans across multiple 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

Verify and validate that hardware and software solutions achieve their desired functionality.

Develop and execute multi‑faced verification/validation plans.

Measure the team’s progress toward 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 worldwide. We offer 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, be curious, and earn trust.

Work/Life Balance: Our team values 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 sides of your life. We offer flexibility in working hours and encourage you to find your own balance between work and personal life.

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 that 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 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 (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.

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