Senior Storage Engineer - AI Infra & GPU Clusters (Remote)

Hamilton Barnes; San Francisco (CA); Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Stock options

Remote work allowance

Job summary

Hamilton Barnes is seeking a Senior Storage Engineer to own the high-performance storage layer for large-scale GPU clusters and AI workloads. You will design, deploy, and operate storage platforms, collaborating with infrastructure, compute, and networking teams to scale performance.

The role focuses on optimizing distributed storage, troubleshooting bottlenecks, and driving resiliency and data protection through automation and observability in petabyte-scale environments.

Qualifications

• Experience in storage engineering for HPC/AI infra or hyperscale data centers.
• Hands-on expertise with VAST Data storage platforms preferred.
• Strong knowledge of high-performance distributed storage architectures and parallel file systems.
• Experience supporting GPU-intensive AI/ML workloads and high-throughput data environments.
• Proficient Linux system administration.
• Experience troubleshooting performance across storage, networking and compute.
• Familiarity with NFS, RDMA, NVMe-oF, InfiniBand and modern storage networks.
• Automation using Python, Bash, or Ansible.
• Focus on scalability, resiliency and data protection in enterprise storage environments.

Responsibilities

• Design, deploy, and operate large-scale high-performance storage platforms supporting AI and HPC workloads.
• Manage and optimize distributed storage environments for large GPU training and inference clusters.
• Work closely with platform, compute, and networking teams to ensure end-to-end infrastructure performance.
• Troubleshoot storage bottlenecks, latency issues, throughput constraints, and data flow inefficiencies.
• Contribute to storage architecture strategy, scalability planning, and operational best practices.
• Automate storage provisioning, monitoring, and lifecycle management processes.
• Support performance tuning across parallel file systems, object storage, and AI data pipelines.
• Implement observability and capacity planning solutions for petabyte-scale environments.

Skills

Storage engineering

HPC/AI infra

VAST Data

Distributed storage

GPU AI workloads

Linux administration

NFS/RDMA/NVMe-oF

Python/Bash/Ansible

Scalability & resiliency

Tools

VAST Data

InfiniBand

Job description

Hamilton Barnes is seeking a Senior Storage Engineer to own the high-performance storage layer for large-scale GPU clusters and AI workloads. You will design, deploy, and operate storage platforms, collaborating with infrastructure, compute, and networking teams to scale performance.

The role focuses on optimizing distributed storage, troubleshooting bottlenecks, and driving resiliency and data protection through automation and observability in petabyte-scale environments.