Senior AI Storage Engineer
Job Summary
Seeking a full-time Senior AI Storage Infrastructure Engineer to architect high-performance storage solutions for AI-native NeoCloud, focusing on eliminating data bottlenecks and ensuring efficient GPU data access, with remote work available in San Jose, CA or Austin, TX.
Key Responsibilities
- Design, deploy, and maintain robust Container Storage Interface (CSI) drivers for high-performance parallel file systems
- Architect and implement GPUDirect Storage (GDS) integrations to enable direct memory access between NVMe drives and GPU memory
- Develop and manage local NVMe caching strategies for rapid loading of large model weights and datasets during distributed training
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- 5+ years of experience in distributed storage systems and high-performance file systems
- Deep expertise in the Kubernetes CSI paradigm, including building or extending volume plugins
- Strong hands-on experience with block/file I/O at the Linux OS level and kernel-level performance tuning
- Familiarity with high-throughput networking protocols and their interaction with storage subsystems
Complete Job Description
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