$320,000 – $488,750
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
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What they ask for
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