AI Engineer Jobs at NVIDIA with Visa Sponsorship
AI Engineer jobs at NVIDIA span research, infrastructure, and applied teams, covering model development, training optimization, and deployment at scale. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical background.
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Get Access To All JobsINTRODUCTION
Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents (such as Nemoclaw and OpenClaw) operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.
ROLE AND RESPONSIBILITIES
- Act as the lead engineer for developing the agent frameworks natively on Windows environments. You will build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
- Lead the engineering efforts to optimize the agent runtimes for Windows. You will ensure that autonomous agents operate within detailed, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).
- Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community. Ensure our consumer hardware provides an excellent ecosystem for autonomous agents.
- Foster a collaborative engineering culture by mentoring other engineers, establishing guidelines for AI agent deployment, and writing reliable, production-ready code.
BASIC QUALIFICATIONS
- 10+ years of relevant professional software engineering experience, with at least 3+ years in Staff, or Lead Architect role.
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).
- Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.
- Proven understanding of LLM inference pipelines (Ollama, Llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.
- Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain) and an understanding of how multi-agent systems plan, act, and use tools.
- Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic).
- Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
PREFERRED QUALIFICATIONS
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
INTRODUCTION
Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents (such as Nemoclaw and OpenClaw) operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.
ROLE AND RESPONSIBILITIES
- Act as the lead engineer for developing the agent frameworks natively on Windows environments. You will build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
- Lead the engineering efforts to optimize the agent runtimes for Windows. You will ensure that autonomous agents operate within detailed, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).
- Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community. Ensure our consumer hardware provides an excellent ecosystem for autonomous agents.
- Foster a collaborative engineering culture by mentoring other engineers, establishing guidelines for AI agent deployment, and writing reliable, production-ready code.
BASIC QUALIFICATIONS
- 10+ years of relevant professional software engineering experience, with at least 3+ years in Staff, or Lead Architect role.
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).
- Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.
- Proven understanding of LLM inference pipelines (Ollama, Llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.
- Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain) and an understanding of how multi-agent systems plan, act, and use tools.
- Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic).
- Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
PREFERRED QUALIFICATIONS
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
See all 94+ AI Engineer Jobs at NVIDIA
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Get Access To All JobsTips for Finding AI Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's AI stack
NVIDIA's AI Engineer roles emphasize CUDA, TensorRT, and large-scale model training on GPU clusters. Build and document projects that use these tools directly. A portfolio showing hands-on NVIDIA infrastructure work signals fit before your resume does.
Target roles that clear the specialty occupation bar
For H-1B eligibility, your role needs to require a specific bachelor's degree field. AI Engineer positions tied to machine learning research or inference optimization have a cleaner specialty occupation case than generalist software roles. Review the job description language before applying.
Get your credentials evaluated before NVIDIA's offer stage
NVIDIA's recruiting moves fast. If your degree is from a non-U.S. institution, have a NACES-accredited evaluator assess its equivalency to a U.S. bachelor's in computer science or a related field before you receive an offer, not after.
Ask about E-3 eligibility if you hold Australian citizenship
Australian citizens can use the E-3 visa for specialty occupation roles at NVIDIA. It has no lottery and allows two-year renewable terms. If your recruiter defaults to H-1B, flag your citizenship and ask whether the E-3 path is available for your role.
Use Migrate Mate to find open AI Engineer roles at NVIDIA
Identifying which of NVIDIA's current AI Engineer postings are open to sponsored candidates saves time during a time-sensitive search. Migrate Mate filters NVIDIA roles specifically by visa type so you can focus your applications on positions where sponsorship is confirmed.
Confirm LCA filing timing with your NVIDIA HR contact
NVIDIA's HR team files your Labor Condition Application with the DOL before USCIS receives the H-1B petition. If your start date is firm, verify that the LCA was submitted and certified at least a week before your I-129 is filed to avoid processing gaps.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Engineers?
Yes. NVIDIA sponsors H-1B visas for AI Engineer roles, and the company has a consistent pattern of doing so across research, applied, and infrastructure teams. Because H-1B is subject to an annual cap and lottery, timing matters. NVIDIA typically initiates sponsorship discussions during or after the offer stage, and your start date will depend on lottery selection and USCIS processing timelines.
How do I apply for AI Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Search by role title and filter for AI or machine learning positions. If you want to narrow results to roles with confirmed visa sponsorship, Migrate Mate aggregates NVIDIA's open AI Engineer positions by visa type, which saves time if you're on a deadline like OPT expiration or a 60-day grace period.
Which visa types does NVIDIA commonly use for AI Engineer roles?
NVIDIA sponsors H-1B and E-3 visas for nonimmigrant work authorization, and supports EB-2 and EB-3 Green Card pathways for longer-term permanent residence. E-3 visa is available exclusively to Australian citizens and skips the H-1B lottery entirely. The right visa depends on your nationality, your degree, and whether the role meets specialty occupation requirements under USCIS guidelines.
What qualifications does NVIDIA expect for AI Engineer roles?
Most AI Engineer postings at NVIDIA specify a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Hands-on experience with GPU-accelerated computing, deep learning frameworks like PyTorch, and model optimization tools such as TensorRT is expected. Research-oriented roles often require a publication record or demonstrated experience with large-scale model training at the infrastructure level.
How do I time my application if my work authorization is expiring soon?
If you're on OPT or in a 60-day grace period, apply early and flag your authorization timeline to your NVIDIA recruiter at the point of offer. H-1B cap filings open in March for October 1 starts, so if you miss that window, NVIDIA may be able to use cap-exempt options or bridge your status depending on your circumstances. E-3 applicants have more flexibility since there's no lottery and consular appointments can move faster.