Distinguished Engineer, Storage – AI Cloud
Core
Lead NVIDIA's storage strategy for AI Cloud, directing the architecture of high-performance parallel file systems, object stores, and block storage at exabyte scale to support tens of thousands of accelerators.
Role type
Distinguished Engineer, Storage – AI Cloud
Builds
High-performance parallel file systems, object stores, and block storage for AI training and inference workloads.
Domain
AI Cloud, Storage Technology, Accelerated Computing
Deliverable
production ML models
Required skills
High-performance parallel file systems (Lustre, GPFS, WEKA, VAST, BeeGFS, DAOS), Object storage (S3, Swift), Block storage (NVMe-oF, NVMesh, iSCSI), Systems programming (C, C++, Rust, Go), Python, Linux kernel storage stacks, AI coding tools, Open-source strategy
Preferred skills
Experience with 10k+ GPU scale AI training/inference, Open-source contributions/maintainership
Technologies
Lustre, GPFS, Spectrum Scale, WEKA, VAST, BeeGFS, DAOS, S3, Swift, NVMe-oF, NVMesh, iSCSI, SPDK, Linux kernel, RDMA, RoCE, InfiniBand, Python, C, C++, Rust, Go
Responsibilities
Lead multi-year technical plans for AI Cloud Storage expansion; Serve as chief storage architect with deep hands-on involvement; Define production-ready standards and SLOs; Develop open-source strategy and APIs; Lead engineering culture centered on AI tools; Partner with peers to tackle long-term technical challenges; Mentor senior engineers and represent NVIDIA externally
Seniority
Distinguished, Strategy & Mentorship
