Senior AI Storage Infrastructure Engineer (AI)

Location: Remote within San Jose, California or Austin, Texas

Company

hirify.global develops Bitcoin mining solutions and AI computational and cloud infrastructure across multiple countries.

What you will do

• Design, deploy, and maintain CSI drivers for high-performance parallel file systems such as Weka, Lustre, DAOS, and VAST.
• Architect GPUDirect Storage integrations and direct NVMe-to-GPU memory data paths for AI workloads.
• Develop local NVMe caching strategies for large model weights and datasets used in distributed training.
• Optimize IOPS, throughput, and latency across the containerized storage stack.
• Collaborate on RDMA, InfiniBand, and RoCE integration with GPU infrastructure.
• Implement monitoring, alerting, storage policies, quotas, and Kubernetes multi-tenancy isolation; mentor engineers and lead architecture reviews.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience with distributed storage systems and high-performance file systems, including POSIX compliance and file I/O semantics.
• Deep expertise in Kubernetes CSI, volume plugins, and storage operators.
• Strong Linux block and file I/O experience, including kernel-level performance tuning.
• Experience with RDMA, InfiniBand, RoCE, production storage operations, and large-scale or HPC environments.
• Experience with Terraform, Ansible, CI/CD pipelines, technical communication, and cross-functional architecture decisions.

Nice to have

• Experience in high-velocity, high-growth engineering environments.

Culture & Benefits

• Full-time employment.
• Work remotely within the specified United States locations.
• Work on AI infrastructure and large-scale distributed computing systems.
• Collaborate across storage, GPU systems, fabric, and infrastructure engineering.