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Machine Learning IP Design Verification Engineer, Annapurna Labs - Austin, United States - Amazon
Description
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.
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.
Austin, TX, USA | Cupertino, CA, USA
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visitOur compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $115,400/year in our lowest geographic market up to $212,800/year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit Applicants should apply via our internal or external career site.Posted:
February 22, 2024
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Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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