Senior Storage Engineer (AI Infrastructure) - Hosting
$250kReady to take the next step in your career?
Join a rapidly scaling AI cloud infrastructure provider building next-generation GPU platforms for large-scale AI training, experimentation, and inference. The company is developing some of the most advanced AI-ready infrastructure environments in the market and is now significantly expanding operations across the United States alongside continued international growth.
The company is looking for a Senior Storage Engineer with experience supporting high-performance AI infrastructure and large-scale GPU environments. This role focuses on designing and optimizing scalable, low-latency storage solutions while working closely with infrastructure, networking, and platform engineering teams across data-intensive AI and machine learning workloads.
Don’t miss out on this exciting opportunity and apply today!
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/Must Have:
- Deep experience in storage engineering within HPC, AI infrastructure, hyperscale, or large-scale data center environments
- Deep hands-on expertise with VAST Data storage platforms strongly preferred
- Strong understanding of high-performance distributed storage architectures and parallel file systems
- Experience supporting GPU-intensive AI/ML workloads and high-throughput data environments
- Strong Linux systems administration skills
- Experience troubleshooting performance across storage, networking, and compute layers
- Familiarity with NFS, RDMA, NVMe-oF, InfiniBand, and modern storage networking concepts
- Automation and scripting experience using Python, Bash, or Ansible preferred
- Strong understanding of scalability, resiliency, and data protection in enterprise storage environments
Benefits:
- Stock options
- Company bonus
- Remote working options and allowance
Salary:
- Circa $250,000 base salary
$225k
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