Staff Storage Platform Engineer (AI Storage) - Remote

Responsibilities

• Storage Architecture
• Design scalable AI storage architectures supporting both edge and core deployments.
• Define storage strategies for distributed inference, fine-tuning, and training workloads.
• Architect solutions across multiple storage models
• Hyperconverged infrastructure such as StorPool
• Local NVMe storage
• Disaggregated storage systems such as VAST, Weka, and related architectures.
• Define reference architectures, design principles, and reusable patterns for storage platforms so future deployments follow standards rather than one-off implementations.
• Evaluate trade-offs across throughput, latency, resilience, data locality, cost, and operability, and make clear recommendations to engineering and leadership.
• Influence the long-term storage roadmap, including architecture choices for edge, core, hyperconverged, and disaggregated environments.

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