Drimva

Amazon

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

$151K–$235K

Austin, TX +2 · Senior · Full-time · Posted Jun 11, 2026

Location
Austin, TX
Seattle, WA
Cupertino, CA
Experience
Basic qualifications specify 4+ years in software development, Linux/Unix deployment and operation, and IT or data center systems development; 3+ years programming; and 2+ years in systems design and related work.

About the job

Leads the design, testing, launch, and operation of reliable, high-performance accelerated server systems for AWS cloud workloads.

What you'll do

  • Breaks down and leads complex server testability, reliability, and diagnosis work, delivering solutions independently and through others.
  • Collaborates across engineering and operations teams through server conception, design, testing, launch, and operation.
  • Drives quality and reliability in new AWS accelerated server designs using hardware, software, systems, x86 architecture, and operational expertise.

What they ask for

  • 4+ years of non-internship professional software development experience.
  • 4+ years of experience deploying and operating in a Linux/Unix environment and 4+ years of systems development in an IT or data center environment.
  • 3+ years of programming experience with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby.
  • 2+ years of systems design, software development, operations, automation, and process improvement experience; experience leading production deployment of complex, performant software solutions.

Nice to have

  • 3+ years of development/programming/scripting experience with Python, Java, Bash, or Perl.
  • Experience debugging, integrating, and validating complex AI/ML and Cloud Computing servers.

Pay

173,900.00 - 235,200.00 USD annually (base salary); 151,200.00 - 204,600.00 USD annually (base salary)

Tools

Linux/Unix, C++, C#, Java, Python, Golang, PowerShell, Ruby

AI focus

Builds and operates accelerated server infrastructure for AI/ML workloads, including debugging, integrating, and validating AI/ML servers.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)