Jobs / United States / Nvidia Corporation
Senior Software Engineer, Platform Engineering
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 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is looking to hire a deeply technical, creative, and hands-on Senior Full- Stack Software Engineer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business. What You Will Be Doing: • Hands-on experience with test automation, production testing, and automation frameworks • Solid understanding of Linux, embedded systems, firmware, and hardware/software integration • Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred) • Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications • Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions • Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows • Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning • Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability What We Need to See: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience) • 8+ years of experience building large-scale distributed systems and cloud-native applications (Python preferred) • Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures • Deep understanding of agentic AI paradigms (planning, memory, tool invocation, multi-step reasoning) • Experience with agent frameworks and orchestration tools (e.g., LangChain or similar) • Proven ability to design systems with high reliability, scalability, and performance • Hands-on experience deploying applications in Kubernetes environments • Experience building systems in cloud and hybrid environments • Strong programming skills across multiple languages and modern software stacks • Proven track record leading complex technical initiatives and mentoring high-performing teams Ways to stand out from the crowd: • Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions. • Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions. • Experience with Cloud Platforms, experience with Kubernetes and Docker. • Self-motivation and a drive to get things to “done”. NVIDIA is widely considered to be one of the technology world’s most desirable employe