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 JobsNVIDIA 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.
Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be part of a groundbreaking team excelling in AI and cloud computing! We are building a world-class GPU cloud using the latest NVIDIA technologies, and built on top of Kubernetes. You will gain hands-on experience operating a platform that is on the forefront of emerging AI needs!
What Will You Be Doing:
- Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions to aid in their success
- Develop, guide, and supervise a team of engineers to educate partner teams on standard methodologies for cloud-based solutions
- Gain a deep understanding of how NVIDIA develops across multiple verticals, including autonomous vehicles, chip manufacturing, hardware design, and AI
- Present to internal partners and NVIDIA leadership on roadmaps, vision, and demos
- Participate in open-source communities of software we use and build
What We Need To See:
- BS/MS degree in Computer Science or related areas (or equivalent experience)
- 10+ overall years of experience in designing and building distributed software systems
- 4+ years of experience in leading a team of engineers with varying talents across organizations
- Strong ability to write code in mainstream systems programming languages such as Golang, Java, C, C++, or Rust
- Demonstrated ability to craft and implement maintainable APIs for consumers
- Experience with Kubernetes and/or distributed task scheduling
- Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems
- Understanding of infrastructure, networking, storage, and DevOps scripting/tooling
- Container orchestration experience (containerd, CRI-O, Docker)
- Familiarity with Identity and Access Management approaches and the ability to reach cross-functional consensus while dealing with ambiguity
Ways To Stand Out From The Crowd:
- Experience in a Hyperscale Cloud Service Provider (public-facing or not)
- Experience in measuring and improving operational excellence
- Experienced, persuasive, and effective presentation skills (written and verbal)
- Demonstrated skills in leadership, communication, mentoring, analysis, problem-solving, and short/long-term planning
- Excellent interpersonal and organizational skills and the ability to handle diverse situations
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 6, 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.
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.
Seeking seasoned leader to manage a software engineering team for NVIDIA DGX Cloud Kubernetes (DGXC-K8s) organization, supporting internal and external clients. Be part of a groundbreaking team excelling in AI and cloud computing! We are building a world-class GPU cloud using the latest NVIDIA technologies, and built on top of Kubernetes. You will gain hands-on experience operating a platform that is on the forefront of emerging AI needs!
What Will You Be Doing:
- Partner with multiple internal teams to gather requirements, provide feedback to engineering teams, and develop solutions to aid in their success
- Develop, guide, and supervise a team of engineers to educate partner teams on standard methodologies for cloud-based solutions
- Gain a deep understanding of how NVIDIA develops across multiple verticals, including autonomous vehicles, chip manufacturing, hardware design, and AI
- Present to internal partners and NVIDIA leadership on roadmaps, vision, and demos
- Participate in open-source communities of software we use and build
What We Need To See:
- BS/MS degree in Computer Science or related areas (or equivalent experience)
- 10+ overall years of experience in designing and building distributed software systems
- 4+ years of experience in leading a team of engineers with varying talents across organizations
- Strong ability to write code in mainstream systems programming languages such as Golang, Java, C, C++, or Rust
- Demonstrated ability to craft and implement maintainable APIs for consumers
- Experience with Kubernetes and/or distributed task scheduling
- Understanding of underlying Linux Kernel scheduling, memory management, and networking subsystems
- Understanding of infrastructure, networking, storage, and DevOps scripting/tooling
- Container orchestration experience (containerd, CRI-O, Docker)
- Familiarity with Identity and Access Management approaches and the ability to reach cross-functional consensus while dealing with ambiguity
Ways To Stand Out From The Crowd:
- Experience in a Hyperscale Cloud Service Provider (public-facing or not)
- Experience in measuring and improving operational excellence
- Experienced, persuasive, and effective presentation skills (written and verbal)
- Demonstrated skills in leadership, communication, mentoring, analysis, problem-solving, and short/long-term planning
- Excellent interpersonal and organizational skills and the ability to handle diverse situations
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 6, 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.