AI Storage Solutions Expert
Job Summary
Owning the IO layer for AI training and inference, the full-time AI Storage Solutions Expert will deploy and operate high-performance storage systems while optimizing architectures for AI workloads in a remote capacity within San Jose, CA or Austin, TX.
Key responsibilities
- Deploy and manage parallel/distributed storage systems and design optimized storage architectures for AI workload patterns
- Implement multi-tenant storage isolation with quality of service, 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 high-performance storage networking
- Proficiency in storage performance benchmarking and tuning tools (fio, IOR, mdtest)
- Strong Linux systems knowledge, including kernel tuning and filesystem internals
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