Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering AcceleratorsAmazon • United States
Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators
Amazon
- United States
- United States
About
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 with deep expertise in server platform validation and lifecycle management. 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 hands-on experience with platform vetting infrastructure, cross-functional hardware/firmware testing, and driving quality through the complete server lifecycle from conception through fleet operations. You have tremendous interest in cloud scale and are curious how hardware platform decisions impact customer workloads. You insist on highest-standards and are able to develop tactical solutions and automation to diagnose and fix issues before they impact production. You are an excellent systems debugger - finding interaction issues between hardware components, firmware, and software on accelerated computing platforms. 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!
Key job responsibilities You will be a technical leader solving complex architectural problems in accelerated computing platforms which may not be defined beforehand. You will own platform validation infrastructure and vetting processes, working proactively to identify hardware and firmware deficiencies, writing tactical code and automation to diagnose issues before they impact customers, and collaborating with cross-functional teams (hardware engineers, firmware developers, EC2 service teams) to scale solutions across the fleet. 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 leverage your combination of hardware platform knowledge, x86 architecture expertise, firmware/software integration understanding, system designs, validation processes, and fleet operations experience to drive quality and reliability into AWS accelerated computing offerings.
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. Leading platform validation efforts for accelerated computing servers - developing vetting infrastructure, debugging complex hardware/firmware interactions, analyzing fleet telemetry to identify emerging issues, and collaborating with hardware design teams to drive quality improvements into next-generation platforms. Building automation and tooling to scale validation processes across multiple server programs simultaneously. Partnering with EC2 service teams to ensure smooth transitions from lab validation through production deployment, and maintaining operational excellence for servers supporting customer AI/ML workloads in 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 accelerated computing platforms into AWS fleet. Located out of Seattle and Cupertino, we work on programs with global development teams (both internal and external to Amazon) delivering next-generation GPU-accelerated servers that power AI training and inference workloads for AWS customers worldwide. Our platform validation and vetting work ensures these servers meet the highest standards for reliability and performance before deployment to 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 encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 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: - Experience with PowerShell (preferred), Python, Ruby, or Java - Experience working in an Agile environment using the Scrum methodology - Experience with general troubleshooting/debugging of hardware, or experience in computer architecture - Experience building test automation frameworks and tools
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 for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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
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USA, CA, Cupertino - 148,700.00 - 201,200.00 USD annually USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually]]>
Languages
- English
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