Description Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we...
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. We have data center locations in the U....
Lugar:
Austin, TX | 02/11/2026 23:11:27 PM | Salario: S/. No Especificado | Empresa:
AmazonDescription About the Role We are looking for a Senior Manager of Package Signal & Power Integrity to lead a small team of engineers delivering SI/PI solutions for next-generation 2.5D/3D chiplet-based products. This is a player-coach ro...
Description The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority...
Lugar:
Austin, TX | 28/10/2026 21:10:51 PM | Salario: S/. No Especificado | Empresa:
AmazonDescription 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 have data center locations in the U....
Description Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data ce...
Lugar:
Austin, TX | 24/10/2026 01:10:58 AM | Salario: S/. No Especificado | Empresa:
AmazonDescription AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development m...
Description AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development m...
Description Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Accelerati...
Description AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the s...