Senior AI/ML Fleet Reliability Engineer

Amazon Web Services (AWS); Austin (TX); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon Data Services, Inc. is seeking a senior systems engineer to own end-to-end automation and diagnostics for AI/ML accelerator fleets at scale.

You will build telemetry-driven fault detection, dashboarding, and cross-team tooling to minimize downtime and improve reliability across hardware, firmware, and software. Expect collaboration with hardware, software, and operations teams.

Qualifications

• 6+ years of systems design, software development, operations, automation
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
• 6+ years of Linux/Unix operating systems experience

Responsibilities

• Build and own automation infrastructure for AI/ML fleet health at large scale
• Design predictive failure detection using telemetry, sensor data, and logs
• Develop monitoring dashboards and alerting for fleet health visibility
• Design scalable test automation for hardware bring-up and qualification

Skills

System design

C++

Python

Linux/Unix

Linux device drivers

CUDA kernels

C#

Java

Golang

PowerShell

Ruby

Education

Bachelor's degree in CS/CE/EE

Master's degree in CS/EE

Tools

CUDA

Linux drivers

Test frameworks

Job description

Amazon Data Services, Inc. is seeking a senior systems engineer to own end-to-end automation and diagnostics for AI/ML accelerator fleets at scale.

You will build telemetry-driven fault detection, dashboarding, and cross-team tooling to minimize downtime and improve reliability across hardware, firmware, and software. Expect collaboration with hardware, software, and operations teams.