Jobs / United States / Nvidia Corporation
Principal Block and File Storage Software Engineer, Linux - DGX Cloud
Nvidia Corporation · 🇺🇸 US, CA, Santa Clara
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles2 certified filings for “Senior Network Operations Engineer - DGX Cloud” (Computer Network Architects) in VA: $163k–$163k, median $163k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next-generation block storage capabilities and architects a proprietary distributed file system solution from its inception. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: • 100% hands-on coding role in C language, Kernel and Userspace • Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader. • Research, design, implement and test, new and existing, distributed storage services and features of NVIDIA’s block and file storage solution, in both Host and DPU environments. • Acquire understanding of the algorithms, the technicalities and the interaction with other components across NVIDIA’s block and file storage ecosystem. • Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox the kernel modules and often in other components. Drive new solutions based on any issues that arise What we need to see: • B.Sc., M.Sc.. in Computer Science, Electrical Engineering or related discipline (or equivalent experience). • 15+ years of experience as a senior developer, preferably in the domains of storage, networking, and/or operating-systems • Strong proficiency in C/C++ programming. • Experience with Linux block subsystem, File system and IO stack, Experience with storage protocols and standards, especially NVMe Comprehension of large and complexed systems| • Proven professional experience in designing and developing distributed systems; advantage for experience in block and/or file storage and/or networking systems. • Ability to work autonomously, with a proactive mindset and perseverance to solve day to day challenges. Ability to quickly adapt to new technology and go deep into new areas • Excellent communication skills and a collaborative mindset. • Innovative approach, identifying opportunities to improve, accelerate, and reuse existing solutions. • Knowledge of cloud computing concepts, including virtualization, scalability, and data management. Ways to Stand Out From the Crowd: • Linux Kernel coding experience • Linux Kernel internals knowledge including memory management, scheduling, etc. • Linux File system experience NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. Your base salary will be determined based on your location, experience,