Amazon Jobs
Sr. Hardware Engineer - ML Acceleration, Annapurna Labs
Amazon Jobs, Cupertino, California, United States, 95014
Overview
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon 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. We are seeking a Hardware Design Engineer with a role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customizing platforms that fit within AWS datacenter’s world leading technology. 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 product’s 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. Responsibilities
Lead the definition, design and validation of AWS next generation ML Chips, Cards and server integration with a focus on PCIe and Serdes topics. Collaborate with ODMs, IP silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and issue resolution. Perform hands-on electrical validation and characterization using lab equipment (VNA, realtime scope, sampling scope and accessories). Develop automated tests and data collection pipelines using scripting to improve test efficiency and traceability. Interface with cross-functional technical leads to define diagnostics for hardware validation at component, interface, and system levels. Apply knowledge of server hardware design, design validation, production tests, and signal integrity of high-speed interfaces to drive robust solutions. Qualifications
Deep knowledge with PCIe interface Gen4 or above, at both chip level and PCB level. Deep understanding of transmission line theory and electromagnetics and their application in SerDes, single-ended signals and parallel bus interfaces. Hands-on lab equipment skills (VNA, realtime scope, sampling scope and accessories) for electrical validation and characterization. Scripting skills to automate tests, log 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. Experience with server hardware 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 and the ability to work independently, drive tasks from start to completion, and collaborate cross-functionally with software teams to define and implement diagnostics for hardware validation at component, interface, and system levels. Experience with server (x86 / ARM) design or architecture. Inclusion, Work Environment and Benefits
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: job duties include working safely and cooperatively with others, adhering to standards of excellence under stress, effective and respectful communication, and compliance with laws, policies and safety requirements. Criminal history may affect suitability for employment. We will consider for employment qualified applicants with arrest and conviction records in compliance with applicable laws. Our inclusive culture empowers Amazonians to deliver the best results. If you have a disability and need a workplace accommodation during the application and hiring process, please review the accommodations information for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Compensation and Application
Compensation reflects labor costs across US geographic markets. The base pay for this position ranges from $143,300/year to $247,600/year, depending on location and experience. Amazon is a total compensation company; depending on the role, equity, sign-on payments, and other benefits may be provided as part of the package. For more information, see the employee benefits information. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon 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. We are seeking a Hardware Design Engineer with a role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customizing platforms that fit within AWS datacenter’s world leading technology. 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 product’s 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. Responsibilities
Lead the definition, design and validation of AWS next generation ML Chips, Cards and server integration with a focus on PCIe and Serdes topics. Collaborate with ODMs, IP silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and issue resolution. Perform hands-on electrical validation and characterization using lab equipment (VNA, realtime scope, sampling scope and accessories). Develop automated tests and data collection pipelines using scripting to improve test efficiency and traceability. Interface with cross-functional technical leads to define diagnostics for hardware validation at component, interface, and system levels. Apply knowledge of server hardware design, design validation, production tests, and signal integrity of high-speed interfaces to drive robust solutions. Qualifications
Deep knowledge with PCIe interface Gen4 or above, at both chip level and PCB level. Deep understanding of transmission line theory and electromagnetics and their application in SerDes, single-ended signals and parallel bus interfaces. Hands-on lab equipment skills (VNA, realtime scope, sampling scope and accessories) for electrical validation and characterization. Scripting skills to automate tests, log 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. Experience with server hardware 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 and the ability to work independently, drive tasks from start to completion, and collaborate cross-functionally with software teams to define and implement diagnostics for hardware validation at component, interface, and system levels. Experience with server (x86 / ARM) design or architecture. Inclusion, Work Environment and Benefits
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: job duties include working safely and cooperatively with others, adhering to standards of excellence under stress, effective and respectful communication, and compliance with laws, policies and safety requirements. Criminal history may affect suitability for employment. We will consider for employment qualified applicants with arrest and conviction records in compliance with applicable laws. Our inclusive culture empowers Amazonians to deliver the best results. If you have a disability and need a workplace accommodation during the application and hiring process, please review the accommodations information for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Compensation and Application
Compensation reflects labor costs across US geographic markets. The base pay for this position ranges from $143,300/year to $247,600/year, depending on location and experience. Amazon is a total compensation company; depending on the role, equity, sign-on payments, and other benefits may be provided as part of the package. For more information, see the employee benefits information. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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