Senior AI Storage Infrastructure Engineer
We are seeking a Senior AI Storage Infrastructure Engineer to build the critical data-delivery fabric of our AI-native NeoCloud. AI model training and inference are profoundly I/O intensive; you will be responsible for architecting high-performance storage solutions that eliminate bottlenecks and ensure GPUs are constantly saturated with data. This role sits at the intersection of distributed storage, kernel-level I/O, and Kubernetes orchestration. You will design the pathways—from NVMe-backed local caching for massive LLM weights to parallel file system integration—that enable seamless, low-latency access for large-scale distributed training and inference workloads.
Skills
- kubernetes
- ai
- llm
- inference
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