Drimva

NVIDIA

Senior Storage Software Engineer - DGX Cloud

$224K–$431K

US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 11, 2026

Location
US, CA, Santa Clara
US, Remote
Experience
Over 12 years of direct storage software engineering experience.
Education
BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field — or equivalent experience.

About the job

Develop and operate high-performance storage software and file systems for large GPU clusters, contributing to open source and ensuring performance, reliability, and durability.

What you'll do

  • Contribute code and upstream fixes and features to open-source parallel and distributed file systems and distributed object storage.
  • Write and review production code; troubleshoot storage issues at scale and validate performance and durability through tests and recovery drills.
  • Set storage configuration and tuning practices, and collaborate with engineering, operations, cloud, and storage partners.

What they ask for

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field — or equivalent experience.
  • Over 12 years of direct storage software engineering experience, including extensive work with a high-performance parallel or distributed file system at multi-petabyte scale.
  • Open-source contributions involving a distributed or parallel file system; experience diagnosing storage issues in large GPU or HPC clusters.
  • Proficiency in at least one of C, C++, Rust, or Go, and in Python; Linux kernel storage and networking stack familiarity; understanding of object and block storage.

Nice to have

  • Maintainer status or sustained contributions to widely used public projects; storage experience for AI workloads at very large GPU scale.
  • Kernel or file system development, Kubernetes and CSI driver development, or hands-on SPDK, libfabric, or FUSE performance optimization.

Pay

224,000 USD - 356,500 USD (base salary, Level 5); 272,000 USD - 431,250 USD (base salary, Level 6)

Tools

C, C++, Rust, Go, Python, Linux, NVMe-oF, SPDK

AI focus

Use modern AI coding and agentic tools day-to-day to accelerate building, debugging, validation, and operations.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)