Senior AI Storage Engineer — High-Performance GPU Data Fabric

Hamilton Barnes Associates Limited

United States

On-site

USD 170,000 - 230,000

Full time

14 days+

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Stock options

Bonus 10%

Job summary

Hamilton Barnes Associates Limited is seeking a Storage Engineer to design and deploy high-performance AI storage systems for GPU-heavy workloads. You will architect parallel file systems, optimise data pipelines, and coordinate across global data centers to ensure 99.99% uptime.

The role requires deep Linux storage knowledge, GPU-stack awareness, and proficiency with InfiniBand networking. Responsibilities include automating storage provisioning with Terraform/Ansible and leading Tier-3

Qualifications

5+ years of experience with high-performance storage solutions in a Linux-heavy environment.
Deep understanding of storage interaction with NVIDIA GPU stacks and ML training I/O patterns.
Hands-on experience with InfiniBand, RoCEv2, and NVMe-over-Fabrics.

Responsibilities

Design & Deploy AI Storage: Architect and implement high-performance parallel file systems optimized for GPU-heavy workloads.
Optimise Data Pipelines: Fine-tune storage performance for maximum GPUDirect Storage efficiency and low latency.
Manage Scale & Reliability: Build petabyte-scale storage clusters across multiple data centers with high uptime.
Infrastructure Integration: Collaborate with Network and Data Center teams to configure high-speed storage networking.
Automate Storage Ops: Develop Terraform, Ansible, or Python scripts to provision, monitor, and scale storage resources.
Troubleshoot I/O: Lead storage-related performance investigations across filesystem, network, or kernel.