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Distinguished Engineer, Storage – AI Cloud

NVIDIA· Distinguished Engineer
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Santa Clara, CA$320k - $488.8kFull-timePosted 5mo ago

About the role

Lead NVIDIA's storage strategy for AI Cloud across Neocloud Provider and Cloud Service Provider ecosystems. Architect high-performance storage (file, object, block) at exabyte scale, drive open-source strategy, and mentor senior engineers while collaborating across product lines and external partners.

Responsibilities

  • Lead the multi-year technical plan for AI Cloud Storage expansion across NCPs — determine the reference architecture, capabilities, performance and durability SLOs, qualification methodology, and roadmap for high-performance file, object, and block storage that each NCP must offer to qualify for NVIDIA GPU allocation.
  • Serve as the chief storage architect with hands-on involvement. Lead reviews of storage builds, investigate root causes of production problems, develop prototype reference implementations, and make final technical decisions on NCP storage deliveries using measurable SLOs.
  • Define the standard for production-ready storage in NCP, including durability and availability SLOs measured in 9s; ensure efficiency per TiB, observability, blast-radius containment, and reduced toil.
  • Develop architectural direction with collaborators in training, inference, and accelerated computing; coordinate with SRE, operations, networking, security; align with external cloud providers and storage vendors.
  • Develop the open-source path forward for AI storage; establish a GitHub-first, security-first open-source strategy; formalize APIs, SDKs, and protocols for partners and industry integration.
  • Lead an engineering culture centered on AI tools; demonstrate 10x engineering, distribute patterns and evaluation harnesses across the storage organization.
  • Partner with peer storage architects to tackle long-term challenges; promote automation for infrastructure management; establish root-cause analysis and corrective action discipline; design storage for next-gen workloads and cross-DC data management.
  • Mentor and develop senior engineers; represent NVIDIA in standards bodies and open-source communities; engage with industry forums.

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).
  • Minimum 18+ years of practical engineering experience in storage technology, including high-performance parallel file systems (Lustre, GPFS/Spectrum Scale, WEKA, VAST, BeeGFS, DAOS or equivalent) at multi-petabyte scale; strong in object storage (S3/Swift-class) and block storage (NVMe-oF, NVMesh, iSCSI).
  • Track record of crafting/managing exabyte-scale storage platforms for AI training, HPC, video, or hyperscale data lakes; responsible for durability, availability, and performance SLOs (9s).
  • Ability to set technical strategy across business units; multi-year storage architectures adopted broadly; measurable outcomes (GPU utility lift, cost per PB, incident reduction).
  • Hands-on engineering: write/review production code; read Lustre, NFS, kernel, NVMe-oF, SPDK; run scale tests and recovery drills personally.
  • Strong proficiency in at least one systems language (C, C++, Rust, or Go) and Python; comfortable with Linux kernel storage and networking stacks (block layer, RDMA/ RoCE/ InfiniBand, NVMe, VFS, multipath).
  • Experience with AI coding/tools usage; ability to describe how AI tooling accelerates development, debugging, validation, and operations.
  • Excellent written and verbal communication; ability to align executives, orgs, vendors, and customers around technical trade-offs.
  • Comfort operating in a 24/7 production environment with security-first mindset.

Skills

Required:High-performance storage architectureLustre / parallel file systemsObject storage (S3/Swift)Block storage (NVMe-oF, NVMesh)Systems programmingPythonCommunication
Nice to have:AI tooling usage

Benefits

  • Benefits information referenced in the job description (link provided)
  • Equity eligibility
  • Comprehensive benefits package as noted by NVIDIA
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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