AmazonPosted 1w ago

MLA IP Design Verification Engineer, Annapurna Labs

MLA IP Design Verification Engineer, Annapurna Labs at Amazon scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.

US, CA, Cupertinoseniorfull-time$157k-$213k

AI in this role

Verify and validate next-generation machine learning hardware and cloud-scale acceleration platforms at Annapurna Labs.

soc-verification

hardware-verificationdebuggingmachine-learning-accelerationformal-verification

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
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.

As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and validation of machine learning hardware in our data centers.

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.

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.

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

Preferred qualifications

- Master's degree in Electrical or Communications Engineering or a related field
- Experience with formal verification techniques including abstraction and end-to-end checking

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 - 157,300.00 - 212,800.00 USD annually

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

Hardware VerificationDebuggingMachine Learning AccelerationFormal VerificationSoc Verification

Questions you could be asked

Tell me about a project where hardware verification was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?
Tell me about a project where machine learning acceleration was part of your work. What did you do?
Tell me about a project where formal verification was part of your work. What did you do?
Walk me through how you've used Soc Verification in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Hardware Verification, Debugging, Machine Learning Acceleration, Formal Verification, and Soc Verification. 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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