Jobs / United States / Nvidia Corporation
Engineering Manager, Agentic 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 roles113 certified filings for “Manager Systems Software” (Architectural and Engineering Managers) in CA: $214k–$248k, median $222k. Most were filed at wage level II (40%) — 2 lottery entries, ≈31% 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. We are looking for an experienced Software Engineering Manager to lead the development of our core libraries for Agentic Applications. Are you excited by the prospect of building a team working on foundational, brand-new technology that powers the next generation of autonomous systems? Have you ever dreamed of elevating engineering practices to enable the safe and scalable deployment of agentic systems? As a global leader in AI and deep learning, NVIDIA is redefining industries and our work in agentic computing is at the forefront of this revolution. Join us in building the scalable agentic capabilities, reusable building blocks, and high-quality libraries that will accelerate developer productivity, ensure agent quality, and provide critical acceleration and optimization for highly performant and efficient agents. Work directly with a community of creative engineers and collaborate on projects that push the boundaries of what's possible in the world of autonomous agents! What you'll be doing: • Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of both research and commercial products. • Lead a team which identifies gaps and friction in current agent architectures, and translate insights into agentic tools that boosts developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops. • Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment. • Coordinating the entire development lifecycle, from ideation to deployment, ensuring flawless execution. • Integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows to deliver best-in-class, high-performance agentic applications. • Partnering with product management and other collaborators to determine project requirements and priorities. • Lead and grow a high-performing team along with a multi-functional community to standardize procedures and scale adoption of our agent libraries. What we need to see: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience. • A minimum of 7 overall years of experience, including 3+ years in team management, with strong interpersonal and leadership skills. • Proven track record in designing and deploying modern agent architectures and open-source frameworks, with a history of translating proof-of-concept initiatives into production-grade solutions driving measurable impact. • Demonstrated strategic vision to translate the rapidly evolving AI domain into platform roadmaps and high-value technical outcomes. • Exceptional communication and cross-functional leadership skills, with proven success collaborating with and contributing to the open-source community. Ways to stand out from the crowd: • Experience building evaluation/benchmarking systems for agent workflows (metrics, regression, feedback loops). • Led a team that delivered reliable and scalable