AmazonDesign Verification Engineer, Annapurna Labs
Amazon is hiring a Design Verification Engineer, Annapurna Labs in Toronto, Canada. It pays CAD 121k-CAD 202k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions AWS Inferentia, Trainium and design verification among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Develop verification solutions for custom machine learning accelerators and high-speed I/O components at AWS.
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
- Own the development and execution of verification plans for components at sub-system and chip levels
- Build and implement verification environments using advanced simulation methodologies and industry-standard tools
- Define, create and execute comprehensive test scenarios covering system-level flows, critical paths, and corner cases
- Drive coverage closure and verification sign-off to ensure high-quality, tape-out ready design
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 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 in Electrical Engineering or a related field
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
- Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
- 4+ years of design verification experience using constrained-random simulation techniques (such as UVM)
Preferred qualifications
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
- 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 - 120,800.00 - 201,700.00 CAD annually
How we rate this
Design Verification Engineer, Annapurna Labs at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where design verification was part of your work. What did you do?
- Tell me about a project where asic was part of your work. What did you do?
- Tell me about a project where soc was part of your work. What did you do?
- Tell me about a project where hardware verification was part of your work. What did you do?
- Walk me through how you've used AWS Inferentia in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Design Verification, Asic, Soc, Hardware Verification, and AWS Inferentia. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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