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Annapurna Labs (AWS) seeks a high-impact staff engineer to design and optimize semiconductor package thermal and mechanical performance at data-center scale.
You will run simulations, perform lab experiments, and collaborate with cross-functional teams to deliver robust, cost-effective packaging solutions for next-generation compute workloads.
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Your primary focus is ensuring the thermal and mechanical integrity of Annapurna's semiconductor packages. On a given day you might run finite element simulations to stress-test a new package stackup, then head to the lab to collect experimental data on material behavior under thermal cycling. You'll review results with Package Design engineers, flag risks to the Quality and Reliability team, and refine your models based on real-world feedback — all while keeping an eye on how your work feeds into the next product generation.
Annapurna Labs, our organization within Amazon Web Services (AWS), designs custom silicon and software that accelerates cloud innovation. Within Annapurna, the Packaging team focuses on the thermal, mechanical, and materials engineering challenges that come with pushing semiconductor package performance forward. We work closely with Quality and Reliability, Package Design, Test, and System Design groups to deliver robust, manufacturable solutions at data-center scale. Our team values collaboration and knowledge sharing. We are investing in advanced packaging technologies to support the growing demands of machine learning and compute workloads, and you will play a direct role in shaping those next-generation solutions.
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’re applying in isn’t listed, please contact your Recruiting Partner.
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 - 153,600.00 - 215,000.00 USD annually
Company - Annapurna Labs (U.S.) Inc.
Job ID: A10591564