Senior AI Storage Infrastructure Engineer

You will architect the storage data-delivery fabric for intensive AI training and inference workloads. You will develop CSI drivers, integrate GPUDirect Storage, manage NVMe caching, tune I/O performance, optimize RDMA connectivity, implement storage monitoring and quotas, and enforce multi-tenant resource isolation.

Responsibilities

• Design and maintain CSI drivers for high-performance parallel file systems
• Implement GPUDirect Storage integrations
• Develop local NVMe caching strategies for models and datasets
• Optimize IOPS throughput and latency across the storage stack
• Integrate storage with RDMA InfiniBand and RoCE networks
• Implement storage performance monitoring and alerting
• Define storage policies quotas and Kubernetes multi-tenancy isolation
• Mentor engineers and lead architectural design reviews

Requirements

• Bachelor’s or Master’s degree in Computer Science Electrical Engineering or a related field
• 5+ years of experience with distributed storage and high-performance file systems
• Understanding of POSIX compliance and file I/O semantics
• Deep expertise in Kubernetes CSI including volume plugins and storage operators
• Experience with Linux block and file I/O and kernel performance tuning
• Familiarity with RDMA InfiniBand and RoCE
• Experience operating debugging and scaling production or HPC storage environments
• Experience with Terraform Ansible and CI/CD pipelines
• Strong technical communication skills