Jobs / United States / Nvidia Corporation
Senior Software Engineer - Storage
Nvidia Corporation · 🇺🇸 4 Locations
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 roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% 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
NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads. We are seeking a Software Engineer to join our MARS team at NVIDIA. In this role, you will help design, build, and operate exascale infrastructure that powers AI research and development at unprecedented scale. You will work on distributed systems, large-scale storage and compute orchestration, and end-to-end automation that enable AI researchers to focus on innovation rather than infrastructure. You will collaborate closely with engineers and researchers across NVIDIA to architect reliable, efficient, and secure systems that underpin our Managed AI Research Superclusters — infrastructure capable of training frontier models and executing global-scale workloads. What You’ll Be Doing: • Design, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI workloads. • Build software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clusters. • Collaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutions. • Drive improvements in system reliability, performance, and observability to meet exascale standards. • Partner with security, networking, and platform teams to ensure that MARS infrastructure meets the highest standards of robustness and compliance. • Participate in design reviews, contribute to system architecture discussions, and influence the evolution of NVIDIA’s AI infrastructure stack. • Stay current with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of MARS. What We Need to See: • BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 5+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environments. • Strong programming skills in C++, Python, or Go, with proven experience designing production-quality software systems. • Solid understanding of distributed systems principles, data management, and large-scale orchestration frameworks. • Hands-on experience with high-performance storage (e.g., Lustre, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF). • Familiarity with cloud environments (Azure, AWS, GCP) and infrastructure automation tools. • Strong problem-solving skills, ownership mindset, and the ability to thrive in a fast-paced, collaborative environment. • Excellent communication skills and a track record of cross-functional collaboration. Ways to Stand Out from the Crowd: • Graduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a related field. • Expertise in large-scale data management, cluster scheduling, or workload orchestration at exascale scale. • Experience building or maintaining infrastructure for AI/ML research, including distributed training pipelines using PyTorch, JAX, or NeMo. • Familiarity with data security, compliance, and lifecycle management for research-scale datasets. • Demonstrated leadership in syste