Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 149,000 - 201,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, CA, is seeking a seasoned hardware/software engineer to join the AWS Hardware Engineering team. You will tackle complex architectural problems, own system-level design, and drive reliability and testability for accelerators and cloud servers.

You will collaborate with SDEs, hardware engineers, and TPMs, decompose big problems, automate workflows, and contribute to AI-driven tooling that scales AWS cloud infrastructure.

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.

Responsibilities

• You will be a technical leader solving complex architectural problems which may not defined before hand.
• 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.
• A day in the life working with various roles and groups to ensure high quality designs and reliable deployments for AWS Accelerated server solutions.

Skills

C++

C#

Java

Python

Golang

PowerShell

Ruby

Job description

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.

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. What makes this role unique is your direct impact on AI-powered innovation - you’ll be building intelligent systems that drive the debug and development of next-generation cloud technologies.
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!

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. In this role you will create automation through agentic workflows. You’ll develop smart automation solutions, implement AI-driven tools and workflows and be part of AI transformation. 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

We are the builders of AWS backbone (server) infrastructure. The team gets involved in early NPI phase for Accelerators for AWS cloud servers, and continues through launch and thereafter. Our software, services and automation are critical in design, EC2 instance build yields, launch go/no-go decisions, and fleet health thereafter. We build process automation systems to improve efficiency across the board.

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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.

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.

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.

Mentorship & 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.

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.

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

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 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.

USA, CA, Cupertino - 148,700.00 - 201,200.00 USD annually

USA, TX, Austin - 129,200.00 - 174,800.00 USD annually

USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually

Company

Annapurna Labs (U.S.) Inc. - D63

Job ID: A10407236