Senior AI/ML Fleet Automation Engineer

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 174,000 - 235,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Data Services, Inc. in Cupertino is seeking a senior Systems Engineer to own end-to-end hardware and software of accelerator fleet health at cloud scale. You will design automation to prevent failures and reduce manual toil across PCIe, GPUs, Linux drivers, and telemetry pipelines.

You will work across hardware, firmware, kernel, and software, building diagnostics, test frameworks, and predictive tooling. Collaboration with operations and ODMs is essential to improve uptime and yield.

Qualifications

• 6+ years of systems design, software development, operations, automation, and process improvement experience.
• 6+ years of non‑internship professional software development experience.
• 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience.
• 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience.
• 5+ years of Linux/Unix operating systems experience.

Responsibilities

• Build and own the automation infrastructure for accelerator (AI/ML) fleet health at a large scale of servers, driving toward zero‑touch operations that detect, diagnose, triage, and remediate faults without human intervention.
• Design and develop test frameworks, test coverage strategies, and diagnostic tooling to validate hardware functionality, detect faults, and ensure qualification coverage across the platform lifecycle.
• Design predictive failure detection using telemetry, sensor data, error trending, and log correlation to identify degrading components before customer impact
• Develop monitoring dashboards and alerting for real‑time fleet health visibility across manufacturing, lab, and production environments
• Define and track fleet health metrics: failure rates, mean time to detect and resolve issues, first‑time fix rate, test dwell time, and predictive accuracy

Skills

Systems design

Software development

Linux/Unix

C++/Python/Java

Automation & tooling

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

CUDA kernels

Linux device drivers

Kernel debugging

Job description

Amazon Data Services, Inc. in Cupertino is seeking a senior Systems Engineer to own end-to-end hardware and software of accelerator fleet health at cloud scale. You will design automation to prevent failures and reduce manual toil across PCIe, GPUs, Linux drivers, and telemetry pipelines.

You will work across hardware, firmware, kernel, and software, building diagnostics, test frameworks, and predictive tooling. Collaboration with operations and ODMs is essential to improve uptime and yield.