Jobs / United States / Nvidia Corporation
Software Linux Engineer - Installation and Packaging
Nvidia Corporation · 🇺🇸 5 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 wants an outstanding Software Linux Engineer to strengthen our installation, packaging, and software delivery features for NVIDIA's networking software. In this role, you will craft, develop, and maintain user-space tools, packaging systems, software repositories, and installation flows across leading Linux distributions. These include traditional package ecosystems and modern declarative systems like NixOS (Nix package manager). This position allows you to make a tangible difference in a dynamic, technology-focused organization. Your contributions will support product lines powering the world’s most advanced data centers, cloud environments, and HPC systems. Are you driven by Linux, system-level integration, and crafting seamless installation experiences? Do you want to play a role in promoting the deployment of high-speed networking solutions throughout multiple Linux systems, including developing declarative and reproducible package management methods? Are you enthusiastic about working on next-generation packaging technologies, automation, and AI-supported engineering solutions while enabling customers and internal teams to speed adoption? What you'll be doing: • Build, implement, and maintain installation, packaging, and software delivery workflows for NVIDIA networking software across major Linux distributions (Debian, Ubuntu, RHEL, SLES, NixOS, etc.). • Develop and provide ongoing support for meta-packages, software repositories, release channels, profiles, and tools. These resources help streamline user-space installation and configuration on traditional and declarative package managers like DEB/RPM and Nix. • Build and implement automation solutions to improve package validation, release quality, and engineering efficiency, including the adoption of AI-assisted development workflows. • Work with distribution maintainers and ecosystem communities (including Nix/NixOS) to ensure compatibility and smooth delivery through native packaging systems. • Perform system-level testing and verification of package installations on various platforms and OS versions. • Collaborate with cross-functional teams (kernel, QA, release engineering, architecture, and support) to ensure installation quality, maintainability, and scalable software delivery. • Contribute to Linux kernel driver development and backporting to support advanced networking features. What we need to see: • Bachelor’s degree in Computer Science, Computer/Software Engineering, or a related area (or equivalent experience). • 4+ years of software development experience, with a strong focus on Linux system-level development. • Skilled in Linux package management tools (dpkg, RPM, yum, apt, zypper, Nix) along with scripting languages like Python or Bash. • Experience with packaging standards, repository management, release automation, and CI/CD workflows. • Familiarity with kernel backporting, patch management, and driver installation (a plus). • Excellent communication and collaboration skills with a customer-focused approach. • Strong debugging and troubleshooting skills across diverse Linux environments. Ways to stand out from the crowd: • MS in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience with deep knowledge of Linux operating systems and distribution lifecycle management. • Experience crafting package repositories or software distribution infrastructure as well as working with the NixOS ecosystem and Nix package manager in live production settings. • Experience applying AI tools to software development, testing, or automation workflows. • Familiarity with cloud or containerized environments (e.g., Docker, Kubernetes). • Experience supporting large-scale deployment environments in data ce