Engineering Jobs at NVIDIA with Visa Sponsorship
Engineering jobs at NVIDIA span GPU architecture, AI infrastructure, chip design, and systems software, attracting deep-specialization candidates from around the world. The company has a well-established sponsorship process for international engineers, supporting both nonimmigrant and immigrant visa pathways for qualifying full-time positions.
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Get Access To All JobsINTRODUCTION
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 AI Engineering Manager to join the Finance AI team at NVIDIA. In this role, you'll lead a small team of AI engineers building the AI solutions that Finance runs on—and pressure test vendor driven finance AI solutions. You'll direct your own fleet of agents reviewing and contributing code, onboard exciting new tools and technologies, and leverage deep finance knowledge to guide your team in applying the right technology to the right problem. Does this sound like the pioneering opportunity you've been seeking? We'd love for you to join us on this journey!
ROLE AND RESPONSIBILITIES:
- Partner with the CFO org (FP&A, Accounting, Treasury, Tax, Procurement) to find the highest-value problems and turn them into AI applications, agents, and automation.
- Set the technical direction and quality bar for how Finance builds and ships AI, learning and shipping the best emerging technologies to the organization.
- Stay hands-on — review designs and code, make the hard technical calls, and set the standard for engineering quality on agents, retrieval pipelines, and model integrations.
- Own the technical evaluation of new external AI vendors end to end: define selection criteria, run structured POCs and bake-offs, pressure-test capability and cost, and make clear build-vs-buy recommendations.
- Scale the team's output as AI adoption spreads across Finance, establishing reusable components, patterns, and standards so each new use case is faster than the last.
BASIC QUALIFICATIONS:
- Experience leading engineering teams that ship production software — as a manager, tech lead, or player-coach.
- Hands-on depth building AI systems and fluency in the data and system architecture that supports them.
- A track record of delivering technology against real business problems, in finance or another data-rich, regulated domain.
- 10+ overall years in software/AI engineering, including time leading teams and owning technical delivery.
- 2+ years of leadership experience.
- Bachelor's or Master's degree in computer science, engineering, data science, or a related technical field, or equivalent experience. Additional finance or accounting credentials are a strong plus.
PREFERRED QUALIFICATIONS:
- Clear communicator who moves fluidly between engineers and finance/business leaders and drives decisions across both.
- Experience running formal vendor evaluations, POCs, or build-vs-buy analyses alongside security, procurement, and compliance partners.
- An enthusiastic consumer of the latest AI research and product releases — you try the new models and frameworks yourself and have opinions about where they'll actually hold up.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 2, and 200,000 USD - 322,000 USD for Level 3.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 9, 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
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 AI Engineering Manager to join the Finance AI team at NVIDIA. In this role, you'll lead a small team of AI engineers building the AI solutions that Finance runs on—and pressure test vendor driven finance AI solutions. You'll direct your own fleet of agents reviewing and contributing code, onboard exciting new tools and technologies, and leverage deep finance knowledge to guide your team in applying the right technology to the right problem. Does this sound like the pioneering opportunity you've been seeking? We'd love for you to join us on this journey!
ROLE AND RESPONSIBILITIES:
- Partner with the CFO org (FP&A, Accounting, Treasury, Tax, Procurement) to find the highest-value problems and turn them into AI applications, agents, and automation.
- Set the technical direction and quality bar for how Finance builds and ships AI, learning and shipping the best emerging technologies to the organization.
- Stay hands-on — review designs and code, make the hard technical calls, and set the standard for engineering quality on agents, retrieval pipelines, and model integrations.
- Own the technical evaluation of new external AI vendors end to end: define selection criteria, run structured POCs and bake-offs, pressure-test capability and cost, and make clear build-vs-buy recommendations.
- Scale the team's output as AI adoption spreads across Finance, establishing reusable components, patterns, and standards so each new use case is faster than the last.
BASIC QUALIFICATIONS:
- Experience leading engineering teams that ship production software — as a manager, tech lead, or player-coach.
- Hands-on depth building AI systems and fluency in the data and system architecture that supports them.
- A track record of delivering technology against real business problems, in finance or another data-rich, regulated domain.
- 10+ overall years in software/AI engineering, including time leading teams and owning technical delivery.
- 2+ years of leadership experience.
- Bachelor's or Master's degree in computer science, engineering, data science, or a related technical field, or equivalent experience. Additional finance or accounting credentials are a strong plus.
PREFERRED QUALIFICATIONS:
- Clear communicator who moves fluidly between engineers and finance/business leaders and drives decisions across both.
- Experience running formal vendor evaluations, POCs, or build-vs-buy analyses alongside security, procurement, and compliance partners.
- An enthusiastic consumer of the latest AI research and product releases — you try the new models and frameworks yourself and have opinions about where they'll actually hold up.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 2, and 200,000 USD - 322,000 USD for Level 3.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 9, 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 42+ Engineering Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at NVIDIA.
Get Access To All JobsTips for Finding Engineering Jobs at NVIDIA
Align your credentials to NVIDIA's specializations
NVIDIA's Engineering hiring skews heavily toward GPU computing, CUDA, deep learning frameworks, and hardware architecture. Tailor your resume to match the specific technical stack of the team you're targeting before submitting applications.
Target teams with established sponsorship histories
Not every Engineering team at NVIDIA hires internationally at the same rate. Research which divisions, such as AI platforms or silicon engineering, have the most active international hiring and focus your outreach on roles in those groups.
Understand the H-1B cap and NVIDIA's filing cycle
NVIDIA files H-1B registrations in the March lottery window. If you receive an offer after cap season, ask your recruiter about cap-exempt paths or whether an October start date is feasible for your situation.
Prepare your degree equivalency documentation early
NVIDIA Engineering roles typically require a bachelor's or master's in a specific engineering or computer science field. If your degree is from outside the U.S., get a credential evaluation ready before interviews move to the offer stage.
Ask about E-3 eligibility if you hold Australian citizenship
NVIDIA sponsors the E-3 visa for Australian nationals in specialty occupation Engineering roles. Unlike the H-1B, the E-3 has no lottery and can be filed at any time of year, making it a faster path to a start date.
Find open Engineering roles at NVIDIA using Migrate Mate
Locating verified sponsorship-eligible Engineering postings at NVIDIA manually is time-consuming. Use Migrate Mate to filter NVIDIA's active openings by visa type and Engineering function so you're only applying to roles with a clear sponsorship pathway.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Engineers?
Yes, NVIDIA sponsors H-1B visas for qualifying Engineering roles. The company participates in the annual H-1B cap registration process each March and files petitions for selected candidates. If you're already in H-1B status with another employer, NVIDIA can also file an H-1B transfer, which lets you start without waiting for a new cap year.
How do I apply for Engineering jobs at NVIDIA?
Applications go through NVIDIA's careers portal. Most Engineering roles list specific technical requirements, so tailoring your application to the team's focus area, such as silicon design, AI infrastructure, or software systems, improves your chances. You can also browse NVIDIA's sponsorship-eligible Engineering openings filtered by visa type on Migrate Mate before applying directly through the company.
Which visa types does NVIDIA commonly use for Engineering roles?
NVIDIA sponsors H-1B visas for most international Engineering hires, along with the E-3 visa for Australian nationals and EB-2 or EB-3 Green Card pathways for longer-term employment. For engineers on OPT or STEM OPT, NVIDIA can typically support the transition to H-1B. The right visa depends on your citizenship, degree level, and the specific Engineering role.
What qualifications does NVIDIA expect for sponsored Engineering positions?
NVIDIA Engineering roles typically require a bachelor's, master's, or PhD in electrical engineering, computer science, or a closely related field. Sponsored positions are specialty occupations under USCIS standards, meaning the degree requirement must match the role's duties. Deep technical expertise in areas like GPU architecture, CUDA programming, or machine learning systems is commonly expected at the mid-to-senior level.
How do I plan my timeline if NVIDIA offers me an Engineering role with H-1B sponsorship?
H-1B cap petitions must be filed after the March lottery selection, with employment starting no earlier than October 1. If you're on OPT, confirm your expiration date allows you to bridge the gap. Premium processing through USCIS, currently adjudicated within 15 business days, is available and worth discussing with your recruiter if your start date is time-sensitive.