Senior AI Software Engineer Jobs at NVIDIA with Visa Sponsorship
Senior AI Software Engineer jobs at NVIDIA sit at the intersection of cutting-edge GPU architecture and large-scale AI systems work. NVIDIA has a strong track record of sponsoring international engineers across H-1B visa, E-3 visa, and Green Card pathways, making it a realistic target for skilled candidates who need visa support.
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INTRODUCTION
Are you passionate about redefining how software is built in the age of Generative AI? Join NVIDIA’s TensorRT team to help lead a first-of-its-kind, AI-native initiative designed to make TensorRT the default entry point for out-of-framework inference globally. We are moving beyond traditional development cycles with a new framework built from the ground up to leverage swarms of AI agents to produce high-performance, high-quality, modern C++ software at an unprecedented scale. If you are a systems-thinking C++ engineer who wants to help scale out an agentic development framework, stay on top of state-of-the-art deep learning breakthroughs, and improve users’ experience with lightning-fast model onboarding, we want to hear from you!
ROLE AND RESPONSIBILITIES
- Architecting an AI-native framework: Help design and build a codebase and architecture that scales beyond human capacity, supporting large numbers of AI agents working in parallel to generate, test, and validate production-grade software.
- Scaling through agentic workflows: Improve the ratio of compute-to-software output by adopting and building AI-native tools, multi-agent orchestrators, and codebase harnesses that keep humans focused on the highest-value work.
- Rapid prototyping with SOTA models: Act as a technical scout, identifying industry and academic breakthroughs (e.g., new attention mechanisms, KV cache strategies) and dispatching AI agent swarms to prototype and integrate these capabilities into our framework.
- Delivering a great user experience: Ensure a seamless, high-performance path to production for the latest model families (LLMs, Diffusion, Audio, Vision and multi-modal models).
- Extreme performance optimization: Work at the intersection of Python orchestration and C++ engine-level optimizations to achieve major latency and throughput gains for critical customer use cases.
BASIC QUALIFICATIONS
- BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience.
- 4+ years of relevant software development experience.
- Strong modern C++ skills: Proficiency with C++11/14/17 (or newer) and the STL, with an emphasis on clean, maintainable, performant code.
- Deep learning familiarity: Experience with modern inference frameworks and an understanding of the architectural nuances of LLMs, Diffusion, and multi-modal models.
- Systems thinking: Interest in how software architecture must evolve to support automated, agent-driven development and indefinitely scaling codebases.
- End-to-end product sense: Ability to translate high-level customer needs into concrete technical requirements and user-centric solutions.
- Pragmatic execution: Demonstrated ability to go from customer requests to production-quality software on tight timelines.
- Collaborative mindset: Excellent communication skills and comfort working across internal organizations and with customers.
PREFERRED QUALIFICATIONS
- Agentic framework experience: Hands-on work with AI agent orchestrators or multi-agent coding frameworks, or experience building custom agentic coding harnesses for production software.
- CUDA & kernel expertise: Experience with CUDA programming or exposure to kernel generation / autotuning efforts.
- High-velocity prototyping: A track record of rapidly turning state-of-the-art papers into working prototypes in days, not weeks.
- Performance profiling skills: Expertise in software performance analysis, profiling, and optimization (CPU and/or GPU), including using tooling to drive measurable wins.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 25, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Get Access To All JobsTips for Finding Senior AI Software Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's AI stack
NVIDIA hires Senior AI Software Engineers who demonstrate hands-on work with CUDA, TensorRT, or large-scale model training pipelines. Before applying, tailor your GitHub projects or publications to reflect these specific tools rather than general ML experience.
Target roles that match your visa category
NVIDIA sponsors H-1B, E-3, and EB-2/EB-3 pathways, but not every open role is flagged for sponsorship internally. Filter your search by roles explicitly mentioning immigration support, and use Migrate Mate to surface Senior AI Software Engineer openings at NVIDIA confirmed for sponsorship.
Prepare for NVIDIA's technical screening early
NVIDIA's interview loop for senior AI engineers typically spans systems design, GPU optimization, and deep learning fundamentals across multiple rounds. Having your credential documentation ready in parallel, including degree equivalency letters for international degrees, prevents delays once an offer moves forward.
Understand the LCA wage level for your role
USCIS and DOL require employers to pay prevailing wages tied to the LCA wage level. Senior AI Software Engineer roles at NVIDIA typically fall at Wage Level III or IV. Confirm the wage tier when reviewing your offer to ensure your compensation aligns before the H-1B petition is filed.
Factor in cap timing if you're outside the H-1B lottery
If you're not currently in H-1B status, NVIDIA can only file a cap-subject petition during the annual registration window, with work authorization starting October 1. Australian citizens applying for the E-3 avoid this constraint entirely since E-3 has no lottery and no cap filing window.
Clarify Green Card sponsorship intent during offer negotiation
NVIDIA has a history of sponsoring EB-2 and EB-3 Green Cards for engineering roles, but PERM timelines can stretch significantly depending on your birth country. Confirm whether your offer includes Green Card sponsorship and at what stage it typically begins, so you can plan your long-term status accordingly.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior AI Software Engineers?
Yes, NVIDIA sponsors H-1B visas for Senior AI Software Engineers. The company files H-1B petitions for qualifying engineering roles, subject to the annual USCIS cap and lottery for cap-subject candidates. If you're already in H-1B status with another employer, NVIDIA can file a transfer petition outside the lottery window, which significantly simplifies the timing.
How do I apply for Senior AI Software Engineer jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, filtering by engineering and AI-related job families. Read each posting carefully for language about visa sponsorship availability, as not every role is approved for sponsorship. To find Senior AI Software Engineer openings at NVIDIA that are confirmed for international candidates, browse Migrate Mate, which surfaces sponsorship-eligible roles specifically.
Which visa types does NVIDIA commonly use for Senior AI Software Engineers?
NVIDIA sponsors H-1B, E-3, and EB-2/EB-3 immigrant visas for Senior AI Software Engineers. The H-1B is the most common pathway for candidates from most countries. Australian citizens can pursue the E-3, which bypasses the lottery entirely. For long-term permanent residency, NVIDIA sponsors PERM-based Green Card applications through the EB-2 or EB-3 categories depending on the role and candidate qualifications.
What qualifications does NVIDIA expect for Senior AI Software Engineer roles?
NVIDIA typically requires a bachelor's or master's degree in computer science, electrical engineering, or a closely related field for Senior AI Software Engineer positions. Hands-on experience with GPU computing, deep learning frameworks such as PyTorch or TensorFlow, and systems-level programming in C++ or CUDA is expected. Candidates with published research or demonstrated work on large-scale training infrastructure are strongly positioned.
How long does the visa sponsorship process take after receiving an offer from NVIDIA?
Timeline depends heavily on your visa category and current status. An H-1B transfer from an existing cap-subject petition can be filed immediately, with work authorization typically continuing uninterrupted. A cap-subject H-1B requires waiting for the next lottery, which can mean a gap of several months to nearly a year. E-3 petitions for Australian citizens can move faster, often processing within a few weeks through consular channels.