Jobs / United States / Nvidia Corporation
Senior Software Engineer, Capacity Management - 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
NVIDIA DGX Cloud provides the infrastructure and software platform that enables enterprises to build, train, and deploy AI at scale. As demand for accelerated computing grows, effective capacity management is critical to delivering reliable customer experiences while maximizing the utilization of constrained GPU infrastructure. We are looking for a Senior Software Engineer to design and build the systems that connect customer demand, infrastructure supply, reservations, allocation, and utilization across DGX Cloud environments. You will work with engineering, product, operations, finance, and business teams to transform complex capacity data and operational processes into scalable software and automated decision-making. What You’ll Be Doing: • Design and build distributed services and data pipelines for capacity planning, allocation, reservations, and utilization. • Develop a unified model of available, committed, and forecasted GPU capacity across cloud providers, regions, clusters, and products. • Automate capacity-management workflows currently dependent on manual analysis and coordination. • Build APIs, tools, and integrations that enable other DGX Cloud systems and teams to make capacity-aware decisions. • Improve forecasting, scenario planning, and operational visibility by combining demand signals with infrastructure supply data. • Establish monitoring, data-quality controls, and service-level indicators for capacity systems. • Lead technical design reviews, establish engineering standards, and mentor other engineers. • Diagnose complex production issues and improve the reliability, performance, and scalability of capacity-management services. What We Need to See: • BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 5+ years of software engineering experience building production systems. • Strong programming experience in languages such as Python, Go, Java, or similar. • Experience designing distributed systems, backend services, APIs, and data-processing pipelines. • Experience working with cloud infrastructure, Kubernetes, compute platforms, or large-scale resource-management systems. • Strong understanding of data modeling, system integration, observability, and production operations. • Ability to turn ambiguous business and operational requirements into clear technical designs. • Strong communication skills and experience working across engineering and non-engineering organizations. Ways to Stand Out From the Crowd: • Experience with GPU infrastructure, AI/ML platforms, schedulers, cluster management, or accelerated computing. • Experience building capacity planning, inventory, supply-and-demand, quota, reservation, or resource-allocation systems. • Familiarity with optimization, forecasting, simulation, or operations-research techniques. • Experience managing infrastructure across multiple cloud providers or geographically distributed environments and serving as a technical lead for cross-functional, business-critical initiatives. • Demonstrated success improving infrastructure utilization while maintaining reliability and customer commitments. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the techn