Systems Engineer Jobs at NVIDIA with Visa Sponsorship
Systems Engineer jobs at NVIDIA sit at the intersection of hardware architecture, software integration, and large-scale infrastructure deployment. NVIDIA has a consistent track record of sponsoring international engineers across H-1B visa, E-3 visa, and employment-based Green Card pathways, making it a realistic target for qualified candidates who need work authorization.
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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 139+ Systems Engineer Jobs at NVIDIA
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Get Access To All JobsTips for Finding Systems Engineer Jobs at NVIDIA
Tailor your resume to NVIDIA's technical stack
NVIDIA's Systems Engineer postings consistently emphasize GPU architecture, CUDA, high-speed networking, and data center infrastructure. Align your resume to those specific technologies before applying. Generic systems engineering CVs rarely clear NVIDIA's initial screening.
Target teams with active LCA filings
Search DOL's OFLC disclosure database for NVIDIA's certified Labor Condition Applications under the Systems Engineer job title. Teams with recent LCA activity have cleared internal approvals to sponsor, making them far more receptive to candidates who need visa support.
Raise sponsorship early in recruiter conversations
NVIDIA's recruiting process moves quickly from phone screen to technical rounds. Confirm the role is open to sponsored candidates before investing in case study prep or take-home assessments. This avoids late-stage surprises after weeks of interviews.
Understand how NVIDIA structures H-1B cap timing
If you're outside cap-exempt status, USCIS's April 1 filing window and October 1 start date govern when you can begin work. Align your offer negotiation with NVIDIA's HR team around that cycle so your expected start date is realistic for both sides.
Build credentials that demonstrate specialty occupation standing
USCIS evaluates whether a Systems Engineer role genuinely requires a specialized degree. Certifications in NVIDIA-relevant domains like data center networking, GPU computing, or systems architecture strengthen the specialty occupation argument in your I-129 petition.
Use Migrate Mate to filter verified NVIDIA openings
Not all NVIDIA Systems Engineer postings explicitly state visa sponsorship availability. Use Migrate Mate to filter for roles at NVIDIA that are confirmed open to sponsored candidates, so you're applying where your visa situation won't disqualify you late in the process.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Systems Engineers?
Yes. NVIDIA sponsors H-1B visas for Systems Engineer roles and has done so consistently across its hardware, networking, and data center infrastructure teams. The process follows the standard H-1B cap lottery cycle unless you qualify for a cap-exempt pathway. NVIDIA's legal and HR teams handle the I-129 filing, but confirming sponsorship availability upfront with your recruiter is essential since not every open role is approved for sponsorship.
How do I apply for Systems Engineer jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, where Systems Engineer roles are listed by business unit, including data center, networking, and embedded systems teams. Tailor your application to the specific technical requirements in the job description rather than submitting a generic resume. If you need visa sponsorship, confirm that with the recruiter at the first screening call before progressing through NVIDIA's multi-stage technical interview process.
Which visa types does NVIDIA use to sponsor Systems Engineers?
NVIDIA sponsors Systems Engineers on H-1B visas, E-3 visas for Australian citizens, and employment-based Green Cards through the EB-2 and EB-3 categories. The right pathway depends on your nationality, your current immigration status, and how long you've been in the U.S. NVIDIA's immigration counsel typically advises on which petition type fits your situation after you receive an offer.
What qualifications does NVIDIA expect for sponsored Systems Engineer roles?
Most Systems Engineer roles at NVIDIA require a bachelor's degree or higher in electrical engineering, computer engineering, or computer science, with hands-on experience in areas like GPU systems, high-speed interconnects, or data center infrastructure. This matters beyond just hiring: USCIS requires the role to qualify as a specialty occupation for H-1B purposes, so NVIDIA's job descriptions are typically written to reflect that degree-specific requirement clearly.
How do I find Systems Engineer roles at NVIDIA that are open to visa sponsorship?
Not every Systems Engineer posting at NVIDIA explicitly flags visa sponsorship eligibility, which makes filtering time-consuming. Migrate Mate aggregates Systems Engineer openings at NVIDIA and surfaces roles where sponsorship has been confirmed, so you can focus your applications where your immigration status won't be a barrier. This is particularly useful if you're on OPT or in a grace period where timing is critical.