Senior GPU Cloud Storage Expert
Job Summary
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
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