Ready 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