Senior Systems Engineer - AI/ML Fleet Automation

Amazon Web Services (AWS); Seattle (WA); Hybrid; USD 151,000 - 205,000; Full time

Job summary

Amazon Web Services is seeking a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for our accelerated compute platforms. You will own end-to-end systems, from hardware to userland, and write code that prevents failures while replacing manual toil with intelligent self-healing.

You will tackle problems across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines, to correlate signals and isolate faults at fleet scale.

Qualifications

• 6+ years of non-internship professional software development experience.
• 6+ years designing or architecting (design patterns, reliability and scaling) of systems.
• 6+ years of programming with at least one modern language (C++, C#, Java, Python, Golang, PowerShell, Ruby).
• 5+ years deploying and operating in a Linux/Unix environment.
• 6+ years of systems design, software development, operations, automation, and process improvement.

Responsibilities

• Build and own automation infrastructure for AI/ML fleet health at scale, enabling zero-touch operations.
• Design and develop test frameworks to validate hardware functionality across the platform lifecycle.
• Develop predictive failure detection using telemetry, sensor data, error trending, and log correlation.
• Create monitoring dashboards and alerting for real-time fleet health visibility.
• Define and track fleet health metrics like failure rates and MTTR.
• Debug complex system-level issues across compute, GPU, networking in production.
• Build scalable test automation for hardware bring-up and regression.
• Maintain Linux device drivers on ARM and x86; work with OS internals.
• Develop CI/CD pipelines for rapid deployment to manufacturing and fleet.
• Collaborate with cross-team stakeholders to meet data path and onboarding requirements.
• Contribute to post-incident reviews and drive permanent fixes.
• Produce documentation for runbooks and automation.

Skills

Non-internship software development

Designing and architecting systems

C++, C#, Java, Python, Golang, PowerS​

Linux/Unix environments

Systems design, automation, and ops

Communication across hardware,software

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Tools

CUDA

Job description

Amazon Web Services is seeking a Systems Development Engineer to build automation software, diagnostic tooling, and fleet health infrastructure for our accelerated compute platforms. You will own end-to-end systems, from hardware to userland, and write code that prevents failures while replacing manual toil with intelligent self-healing.

You will tackle problems across PCIe topology, GPU diagnostics, Linux drivers, and telemetry pipelines, to correlate signals and isolate faults at fleet scale.