Jobs / United States / Nvidia Corporation
Senior AI Engineer and Agentic Platforms - Network Architecture
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 roles3 certified filings for “Engineer Senior Network Infrastructure” (Database Administrators) in CA: $177k–$177k, median $177k. Most were filed at wage level IV (100%) — 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 at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment — you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you. What you'll be doing: • Build agentic workflows — loops, graphs, and multi-step pipelines — that carry real hardware network simulation and analysis work end to end. • Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain. • Work closely with network architects to understand their workflows and translate them into agent workflows they use daily. • Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency. • Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable. • Build observability across agent runs: what the agent did, where it failed, and why. • Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries. • Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling. What we need to see: • B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience. • 5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment. • Expert-level programming skills in C++, with strong Python skills alongside it. • Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur. • Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes. • Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost. Ways to stand out from the crowd: • Experience writing hardware simulation software — network, system, or architectural simulators, models, or testbenches. • Networking experience — protocols, fabrics, switching, or RDMA — and experience working alongside silicon, systems, or architecture teams. • Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming. • Hands-on experience building or fine-tuning LLMs or other generative models. • Agent workflows, tooling, or context pipelines adopted by other engineering teams. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.