Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML

Amazon Web Services (AWS)

Austin (TX)

On-site

USD 151,200 - 204,600

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Amazon Data Services, Inc. seeks an innovative software engineer to join AWS Hardware Engineering in Austin.

You will design, deliver and operate next-generation server infrastructure powering AI training and inference at cloud scale, from bare‑metal hardware up to userland software, with focus on performance, efficiency and cost. You will lead complex reliability challenges, decompose problems into executable tasks, and collaborate with SDEs, hardware engineers, TPMs and managers to deliver

Qualifications

  • 4+ years of professional software development experience.
  • 4+ years deploying and operating in a Linux/Unix environment.
  • 3+ years designing or architecting systems for reliability and scaling.
  • 2+ years leading design, build and deployment of complex software in production.

Responsibilities

  • Lead complex server-system testability, reliability and diagnosis tasks.
  • Decompose problems into executable components and drive delivery.
  • Collaborate with SDEs, hardware engineers, TPMs and managers to ensure quality.

Skills

C++
Python
Java
Golang
Linux/Unix
System design
Leadership

Tools

Git
x86 architecture
Debugging

Job description

Do you want to shape the future of Generative AI at AWS? Join the team building the foundation of the world’s most advanced cloud for AI training and inference — where multi-billion-parameter models come to life at scale. Here, you’ll design, deliver, and operate next-generation infrastructure that powers breakthrough innovation in AI/ML and HPC workloads. If you’re passionate about pushing the limits of performance, efficiency, and scalability in the cloud, this is your opportunity to build the systems that define what’s next for AWS — and for the entire AI industry.

Do you want to shape the future of Generative AI at AWS? Join the team building the foundation of the world’s most advanced cloud for AI training and inference — where multi-billion-parameter models come to life at scale. Here, you’ll design, deliver, and operate next-generation infrastructure that powers breakthrough innovation in AI/ML and HPC workloads. If you’re passionate about pushing the limits of performance, efficiency, and scalability in the cloud, this is your opportunity to build the systems that define what’s next for AWS — and for the entire AI industry.

You’ll join a diverse AWS Hardware Engineering team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

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 problems. 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, design, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud.

About The Team
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.

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.

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.

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 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.

Basic Qualifications
  • 4+ years of non-internship professional software development experience
  • 4+ years of deploying and operating in a Linux/Unix environment experience
  • 4+ years of systems development in an IT or data center environment experience
  • 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
  • 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 2+ years of systems design, software development, operations, automation, and process improvement experience
  • Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
Preferred Qualifications
  • 3+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
  • Experience debugging, integrating, and validating complex AI/ML and Cloud Computing servers.

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&DD 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 - 173,900.00 - 235,200.00 USD annually

USA, TX, Austin - 151,200.00 - 204,600.00 USD annually

USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

Company - Amazon Data Services, Inc.

Job ID: A10446932

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML
Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 173,000 - 236,000
Sign-on bonuses and RSUs
Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML
Sr. System Development Engineer, High-Performance Accelerator Servers for AI/ML

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 151,000 - 205,000
Health insurance
401(k) matching
Parental leave
Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering

Amazon • Cupertino (CA)

On-site
USD 149,000 - 201,000
Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators
Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 123,000 - 185,000
Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators
Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 99,000 - 160,000
Health insurance
401(k) matching
Paid time off
Sr Hardware Development Engineer, High Performance AI & ML Servers
Sr Hardware Development Engineer, High Performance AI & ML Servers

Amazon Web Services (AWS) • Austin (TX)

On-site
USD 159,000 - 216,000
Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML
Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML

Amazon Web Services (AWS) • Cupertino (CA)

On-site
USD 173,000 - 236,000
Health insurance
401(k) matching
Paid time off
+1
Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML
Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML

Amazon Web Services (AWS) • Austin (TX)

On-site
USD 151,000 - 205,000
Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering

Amazon Web Services (AWS) • Austin (TX)

On-site
USD 129,000 - 175,000
Health insurance
401(k) matching
Paid time off
+1
Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Sr. Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering

Amazon • Austin (TX)

On-site
USD 151,200 - 204,600
Comprehensive health insurance
401(k) matching
Paid time off
+1