Senior Manager, Research Science, Intelligent Talent Acquisition, Global Hiring Science

Description
Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.

You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day? Does that make you wish your talents were applied to those at cloud scale? If yes, then come join us - we are looking for builders like you.

The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies.

The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder

What you will do?

You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.

AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history

Why it matters?

Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers.

Why you will love it?

You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.

Key job responsibilities

You will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge.

A day in the life

Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud.

About The Team
The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Utility Computing (UC)

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.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we enc

Basic Qualifications

• 2+ years of non-internship professional software development experience
• 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
• Knowledge of systems engineering fundamentals (networking, storage, operating systems)
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

Preferred Qualifications

• PhD in Industrial/Organizational Psychology, Social Psychology, Survey Methodology, or related field
• Familiarity with using GenAI tools and Large Language Models (LLMs) in candidate and employee research
• Excellent written and oral communication skills
• Experience conducting experimental research in a global, industry environment

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $187,500/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company
- Amazon Data Services, Inc.

Job ID: A3073250