Senior Systems Engineer — AI/ML Accelerator Servers

Amazon Web Services (AWS); Seattle (WA); On-site; USD 151,200 - 204,600; Full time

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Job summary

Amazon Data Services, Inc. in Seattle seeks an innovative leader to shape the future of Generative AI infrastructure.

You’ll understand the full stack—from bare-metal server hardware to userland software—and build scalable, high-performance systems for AI training and inference at cloud scale. You will guide design, build, test and deployment, collaborating across AWS services to deliver reliable, cost-efficient solutions.

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.

Responsibilities

• You will be a technical leader solving complex problems and decompose big server system testability, reliability and diagnosis problems into tasks.
• Lead delivery of components or features in parallel through hardware, software, system designs, x86 architecture and operations knowledge.
• Collaborate across AWS to deliver high standards for safety, security and scalable capacity.
• Drive high quality and reliability into future designs for AWS Accelerated server solutions.

Skills

C++

Java

Python

Golang

PowerShell

Ruby

Linux/Unix

Leadership

Tools

Git

Job description

Amazon Data Services, Inc. in Seattle seeks an innovative leader to shape the future of Generative AI infrastructure.

You’ll understand the full stack—from bare-metal server hardware to userland software—and build scalable, high-performance systems for AI training and inference at cloud scale. You will guide design, build, test and deployment, collaborating across AWS services to deliver reliable, cost-efficient solutions.