MLA Design Verification Engineer, Annapurna Labs
AI in this role
Verify and validate machine learning accelerator silicon chips like Trainium and Inferentia at Annapurna Labs, AWS.
We are seeking an experienced Design Verification Engineers to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we’re handling massive scale and rapid integration of emergent technologies.
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
The Annapurna Labs ML Accelerator team builds the Trainium and Inferentia silicon that trains and serves machine learning models across AWS. We work at the intersection of chip architecture, physical design, verification, and infrastructure to deliver products that push the boundaries of performance and efficiency for our customers. Our team values people who bring strong technical judgment, clear communication, and a willingness to get into the details. If you want to shape how Amazon builds its most ambitious hardware and work alongside talented engineers solving real problems at scale, this is the role for you.
Basic qualifications
- Bachelor's degree in Electrical Engineering or a related field
- 3+ years of design verification experience using System Verilog and UVM
- 3+ years of experience in testbench development including stimulus, checkers, assertions and coverage
Preferred qualifications
- Experience in Python, Perl, or another scripting language
- Experience using multiple verification platforms.
- Experience with C/C++ and Object-Oriented Programming
- Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
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 Company’s 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 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. 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 https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually
USA, TX, Austin - 153,600.00 - 215,000.00 USD annually
How we rate this
MLA Design Verification Engineer, Annapurna Labs at Amazon rates 90 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
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 hardware validation was part of your work. What did you do?
- Tell me about a project where chip architecture was part of your work. What did you do?
- What's a project where you used System Verilog hands-on?
- Walk me through how you've used Uvm in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Design Verification, Hardware Validation, Chip Architecture, System Verilog, and Uvm. 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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