Jobs / United States / Nvidia Corporation
Senior Software Engineer, Tools, Automation and AI
Nvidia Corporation · 🇺🇸 3 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 Networking is looking for a highly capable and independent Software Engineer to join the Networking SW Tools & Automation team.The team develops and customizes tools, automation, workflows, dashboards, and AI-enabled solutions that improve how the Networking SW organization plans, develops, validates, and delivers complex software products. In this role, you will work closely with SW Product Managers, Architects, R&D, QA, and Technical Program Managers (TPMs) to understand their needs, challenges, and ways of working. You will translate these needs into well-defined processes, workflows, data models, and tool requirements — and then design and develop the solutions that implement them. AI is a core element of this role. We are looking for someone who is deeply knowledgeable and hands-on with modern AI technologies, frameworks, coding agents, and development tools; actively follows and experiments with the constantly evolving AI ecosystem; and is passionate about applying these technologies to solve real engineering and operational problems. You will use AI both to accelerate how software is developed and as a core capability within the tools and automation you build. The team operates with significant ownership and independence. We are looking for someone who can take an ambiguous problem, work across functions to understand it, structure the problem and solution, select the right technologies, and personally drive implementation from concept through production and adoption. What you'll be doing: • Partner with SW Product Managers, Architects, R&D, QA, and TPMs to understand workflows, difficulties, information needs, and opportunities for improvement and automation. • Analyze existing ways of working and translate organizational needs into well-defined processes, flows, functional requirements, data models, and technical designs. • Design, develop, and deploy tools and automation supporting the end-to-end SW lifecycle — from feature/POR definition and development through validation, release, and ongoing maintenance. • Apply AI technologies hands-on to solve engineering and operational challenges, selecting the appropriate models, frameworks, agents, architectures, and tools for each problem. • Develop AI-enabled applications and workflows that help users find and synthesize information, interact with engineering data, identify risks and inconsistencies, automate repetitive activities, and support better and faster decision-making. Use AI coding agents and modern AI development environments extensively to accelerate prototyping, implementation, testing, debugging, and iteration. Continuously explore emerging AI technologies and rapidly assess their applicability to real organizational needs — turning promising capabilities into practical solutions rather than technology demonstrations. • Develop and customize solutions around platforms such as Jira and other engineering systems, including workflows, automation, integrations, and reporting. • Build web-based tools and interactive applications that consolidate information from multiple engineering tools, databases, and APIs into coherent and actionable views. • Develop dashboards and analytics for monitoring features, bugs, releases, milestones, dependencies, risks, execution status, and other key engineering and program indicators. Automate recurring workflows and reporting, reducing manual work while improving data quality, consistency, traceability, and visibility. • Own solutions end-to-end — from problem discovery and requirements definition through architecture, implementation, testing, deployment, documentation, adoption, and continuous improvement. What we need to see: • B.Sc. in Computer Science, Software Engineering, Information Systems, or equivalent p