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Annapurna Labs, part of Amazon, seeks a hardware verification engineer to help verify a range of hardware and software solutions in our data-center acceleration stack. You will work on SystemVerilog/UVM based verification, build and execute verification plans, and help measure progress against ambitious customer metrics.
Join a fast-paced team designing and validating IP blocks, SoCs, and full-system solutions for ML and FPGA acceleration in AWS data centers.
Job ID: 10541170 | Amazon.com Services LLC
At Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration.
As a member of the Cloud-Scale Machine Learning Acceleration team, you will be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia, which is a machine learning inference product designed to deliver high performance at low cost.
If you are interested in "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.
If this sounds exciting to you - come build the future with us!
A day in the life
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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 are applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below.Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits .
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 are applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below.Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits .
Austin, TX, USA - 116,100.00 USD Annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.