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Austin, TX
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
Annapurna Labs (our organization within AWS Utility Computing (UC)) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The MLA Technology team is looking for candidates who are excited to write software that tests silicon itself—running structural scan (DFT) tests across a huge fleet of machine learning accelerator servers, and turning the results into insights about some of the largest chips ever built.
Do you like the idea of testing billions of transistors and finding the one that’s misbehaving? Great! Ever talked to a chip over JTAG just to see what it would say? Great! Do you read data sheets like others read the news? Great! Written a script to automate something tedious, then kept improving it just because you could? Great! Enjoy turning a mountain of raw data into a dashboard that tells a story? Great! Did this make you smile? Awesome.
Our team writes software that tests the most advanced machine learning chips in the world, at a scale and speed few systems anywhere can match. If that interests you, come join our team!
We are not a team of machine learning practitioners—we are a software team focused on testing and understanding the silicon that enables accelerated machine learning workloads at scale, including the chips behind AWS Trainium and AWS Inferentia.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help you develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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, TX, Austin - 143,700.00 - 194,400.00 USD annually
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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