Jobs / United States / Nvidia Corporation
Senior DevOps Engineer, AI Agent Platforms
Nvidia Corporation · 🇺🇸 2 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 spearheading the AI revolution and the creation of powerful accelerated compute platforms for global utilization. Our mission is to put AI at the center of engineering throughout NVIDIA's networking architecture team. We build AI agents that solve real engineering problems, the platforms that make them reliable, and we lead the team's AI adoption, making sure it happens fast and with strong engineering practices. Powered by the AI revolution we are changing how hardware architecture work happens! We strive to define and implement this new agentic architecture, and we are seeking a DevOps software engineer for our agentic AI team. If you are excited to work at the frontier of AI agents and want your work to multiply the output of hundreds of engineers, we want to hear from you. What you'll be doing: • Build AI agents that solve real engineering problems across the networking stack, with a focus on the infrastructure and services that bring them into reliable daily use. • Design, build, and operate the platforms that make those agents reliable: MCP tools, service APIs, cloud and on-prem services, and the systems behind them. • Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions. • Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence. • Build evaluation and observability pipelines that measure AI-agent behavior and platform reliability on real production workloads. What we need to see: • BSc in Computer Science or a related field, or equivalent experience. • 3+ years of relevant practical experience in DevOps, platform engineering, or SRE roles ideally including work on a large-scale software product. • Deep hands-on experience with Linux, cloud and on-prem environments, Kubernetes and container runtimes (Docker/containerd), and infrastructure as code. • Proven experience designing, building, and maintaining CI/CD pipelines for production services. • Strong scripting and automation skills in Python/Bash and one compiled language (Go/Rust). • Experience with observability, monitoring, and security practices. • Advanced, demonstrable use of AI and agentic workflows in your daily engineering work well beyond standard coding assistant usage. • A drive for end-to-end ownership and strong communication skills. Ways to Stand Out from the Crowd: • Hands-on experience with LLM APIs and agent frameworks, including building tools/MCP integrations. • Background in computer networking or HPC. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.