Amazon
Sr. System Development Engineer, Edge & 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
- 6+ years in each of the three listed software development, systems/operations/automation, and systems design/architecture areas; 5+ years programming in at least one modern language.
About the job
Leads development of automation, diagnostic tools, and fleet-health systems for AWS edge and AI/ML accelerator servers, improving reliability through predictive detection and zero-touch remediation.
What you'll do
- Build fleet-health infrastructure, predictive failure detection, monitoring, and automated fault diagnosis and remediation.
- Debug system-level hardware and software issues across Linux servers, including compute, storage, networking, and GPU subsystems.
- Lead server software and automation development and collaborate with hardware teams, ODMs, and operations through design, validation, launch, and fleet deployment.
What they ask for
- 6+ years of non-internship professional software development experience.
- 6+ years of systems design, software development, operations, automation, and process improvement experience; 6+ years designing or architecting new and existing systems.
- 5+ years programming in at least one modern language, such as C++, C#, Java, Python, Golang, PowerShell, or Ruby.
- Experience with Linux/Unix and leading the design, build, and deployment of complex, performant software solutions in production.
Nice to have
- Experience building fleet-scale predictive failure detection or proactive remediation systems.
- Experience with Linux kernel drivers, server hardware, GPU/accelerator platforms, or hardware development partners.
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, Ruby
AI focus
Develops and operates automation, predictive failure detection, diagnostics, and fleet-health systems for AI/ML accelerator servers and GPU platforms.
Model-written summary · the original posting is authoritative