# Distinguished Engineer, Storage – AI Cloud

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/430cdc60-d4c4-46b1-985a-658e8f6686c8

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Distinguished
- Location: Santa Clara, CA
- Salary: 320000 – 488750 USD per year

## Summary

NVIDIA is seeking a Distinguished Engineer to architect and lead the storage strategy for AI Cloud infrastructure, managing exabyte-scale systems that power the world's largest GPU fleets. This role suits a deeply technical systems expert with decades of high-performance storage experience who can set multi-year technical direction while remaining hands-on with code and production systems.

_Our summary, not NVIDIA's wording._

## Skills named

Amazon S3, C++, Go, iSCSI Configuration, Linux Kernel, Python, RocksDB, Rust, Swift, Weka

## Required

- 18+ years of practical storage technology engineering experience
- Extensive hands-on work with high-performance parallel file systems at multi-petabyte scale
- Wide expertise in object storage and block storage systems
- Track record managing storage platforms at exabyte scale for performance-critical workloads
- Demonstrated ability to set technical strategy across business units and partner organizations
- 100% hands-on in systems engineering with production code writing and debugging
- Strong proficiency in at least one systems language (C, C++, Rust, or Go) and Python
- Comfortable with Linux kernel storage and networking stacks
- Daily use of advanced AI coding and autonomous tools
- Excellent written and verbal communication skills
- Experience operating in 24/7 production environments with security-first approach

## Nice to have

- BS, MS, or PhD in Computer Science, Electrical Engineering, or related field
- Proven background designing or managing storage for AI training/inference at 10k+ GPU scale
- Open-source contributions or maintainership in storage projects
- Experience building disaggregated-inference or inference-time-compute storage architectures
- Public technical contributions through patents, peer-reviewed papers, keynotes, or RFCs

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Distinguished-Engineer--Storage---AI-Cloud_JR2018037