Amazon
Overview
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Annapurna Labs (our organization within AWS 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.
Responsibilities
Design and validation of hardware for AWS next-generation ML chips, cards, and server integration, with leadership in PCIe and SerDes topics to create customized platforms for AWS datacenters.
Lead hardware initiatives within the Machine Learning Acceleration team, applying new technologies to large-scale server deployments to deliver a world-class customer experience.
Collaborate with cross-functional teams to improve product performance, quality, and cost, and drive tasks from concept to deployment.
Basic Qualifications
Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level.
Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, single-ended signal and parallel bus interfaces. Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.
Hands-on lab equipment skills (VNA, realtime scope, sampling scope and its accessories) for electrical validation and characterization.
Scripting skills to automate tests, logs parsing and data collection.
Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.
Preferred Qualifications
Experience with Server HW designs, design validation, production tests and signal integrity of high-speed interfaces.
Knowledge of the product development cycle from concept to mass production.
Strong analytical capabilities.
The ability to work independently and drive tasks from start to completion.
Ability to work cross-functionally with software teams to define and implement diagnostics for hardware validation at component, interface, and system level.
Experience with server (x86 / ARM) design or architecture.
Equal Opportunity 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.
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Annapurna Labs (our organization within AWS 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.
Responsibilities
Design and validation of hardware for AWS next-generation ML chips, cards, and server integration, with leadership in PCIe and SerDes topics to create customized platforms for AWS datacenters.
Lead hardware initiatives within the Machine Learning Acceleration team, applying new technologies to large-scale server deployments to deliver a world-class customer experience.
Collaborate with cross-functional teams to improve product performance, quality, and cost, and drive tasks from concept to deployment.
Basic Qualifications
Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level.
Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, single-ended signal and parallel bus interfaces. Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.
Hands-on lab equipment skills (VNA, realtime scope, sampling scope and its accessories) for electrical validation and characterization.
Scripting skills to automate tests, logs parsing and data collection.
Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.
Preferred Qualifications
Experience with Server HW designs, design validation, production tests and signal integrity of high-speed interfaces.
Knowledge of the product development cycle from concept to mass production.
Strong analytical capabilities.
The ability to work independently and drive tasks from start to completion.
Ability to work cross-functionally with software teams to define and implement diagnostics for hardware validation at component, interface, and system level.
Experience with server (x86 / ARM) design or architecture.
Equal Opportunity 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.
#J-18808-Ljbffr