Owning the IO layer for AI model training, the full-time Senior GPU Cloud Storage Expert will deploy and operate high-performance storage systems while ensuring optimal performance and reliability for AI workloads in a remote environment. Key responsibilities Deploy and operate parallel/distributed storage systems and design architectures optimized for AI workload patterns Implement multi-tenant storage isolation with QoS, quotas, and access controls while configuring GPU Direct Storage Diagnose and tune storage performance, managing capacity aligned with GPU cluster growth and customer workload projections Required qualifications 5+ years in enterprise or HPC storage operations, with at least 2 years supporting AI/ML workloads Hands-on experience with at least two storage systems: WEKA, VAST Data, Ceph, DDN/Lustre Strong understanding of AI training I/O patterns and experience with high-performance storage networking Proficiency in storage performance benchmarking and tuning tools like fio, IOR, and mdtest Strong Linux systems knowledge, including kernel tuning and block device management
Senior GPU Cloud Storage Expert in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.