Software Engineer AI Jobs at NVIDIA with Visa Sponsorship
Software Engineer AI roles at NVIDIA sit at the intersection of GPU architecture and large-scale model development, covering everything from inference optimization to CUDA-accelerated training pipelines. NVIDIA has a well-established sponsorship process for engineering talent in this space, supporting both nonimmigrant and immigrant visa pathways for qualified candidates.
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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 inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Design and develop innovative AI-driven web products to solve big data challenges in chip design. Build high performance API's, data pipelines and backend services in a distributed systems environment.
- Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables. Handle multiple tasks and adapt to changing priorities.
- Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6+ years of professional experience in full-stack development.
- Strong fundamentals in data structures, algorithms and software design patterns.
- Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
- Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
- Background with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- A passion for well-written code, test-driven development and engineering best practices.
- Strong problem solving and interpersonal skills, self-motivated, and a team player.
- Strong ability to build functional and intuitive user experiences.
- A zeal to learn and perform beyond prior experience and expertise.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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 April 4, 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.

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 inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Design and develop innovative AI-driven web products to solve big data challenges in chip design. Build high performance API's, data pipelines and backend services in a distributed systems environment.
- Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables. Handle multiple tasks and adapt to changing priorities.
- Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6+ years of professional experience in full-stack development.
- Strong fundamentals in data structures, algorithms and software design patterns.
- Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
- Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
- Background with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- A passion for well-written code, test-driven development and engineering best practices.
- Strong problem solving and interpersonal skills, self-motivated, and a team player.
- Strong ability to build functional and intuitive user experiences.
- A zeal to learn and perform beyond prior experience and expertise.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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 April 4, 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 Software Engineer AI Jobs at NVIDIA Jobs
Align your portfolio to NVIDIA's AI stack
NVIDIA hires Software Engineer AIs with hands-on experience in CUDA, TensorRT, or Triton. Before applying, make sure your GitHub or portfolio reflects work on GPU-accelerated inference, model optimization, or distributed training rather than general software projects.
Target roles tied to sponsored product lines
NVIDIA's AI engineering sponsorships cluster around teams building on NeMo, cuDNN, and DRIVE. Roles tied to these shipped products have clearer specialty occupation framing under H-1B, which strengthens your petition if USCIS scrutinizes the degree-to-role nexus.
Understand the E-3 advantage if you hold Australian citizenship
Australian citizens can bypass the H-1B lottery entirely using the E-3 visa, which NVIDIA sponsors for qualifying engineering roles. The E-3 has no annual cap and renews in two-year increments, so your work authorization isn't tied to lottery outcomes.
Confirm your role qualifies as a specialty occupation before signing
Before accepting an offer, verify your job description specifies a bachelor's degree or higher in a directly related field as a minimum requirement. USCIS defines specialty occupation precisely, and a vague job description can create complications during H-1B adjudication even with a strong employer like NVIDIA.
Use Migrate Mate to surface open AI engineering roles at NVIDIA
NVIDIA posts Software Engineer AI openings across multiple teams simultaneously, and not all indicate sponsorship eligibility upfront. Use Migrate Mate to filter specifically for NVIDIA roles that support H-1B or E-3 sponsorship so you're targeting the right positions from the start.
Software Engineer AI at NVIDIA jobs are hiring across the US. Find yours.
Find Software Engineer AI at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Engineer AIs?
Yes, NVIDIA sponsors H-1B visas for Software Engineer AI roles. The company works with immigration counsel to prepare the Labor Condition Application through DOL and file the I-129 petition with USCIS. Because H-1B is subject to the annual cap and lottery, timing your application cycle correctly matters. NVIDIA typically initiates the process well ahead of the April filing window.
How do I apply for Software Engineer AI jobs at NVIDIA?
You can browse and apply for Software Engineer AI positions at NVIDIA directly through their careers portal. For roles with visa sponsorship, Migrate Mate filters NVIDIA's open positions by sponsorship type so you can identify H-1B or E-3 eligible roles before applying. Most AI engineering roles at NVIDIA require a technical screen followed by multiple rounds of coding and system design interviews.
Which visa types does NVIDIA commonly sponsor for Software Engineer AI roles?
NVIDIA sponsors H-1B visas for most international Software Engineer AI hires and E-3 visas specifically for Australian citizens. For candidates pursuing permanent residence, NVIDIA also supports EB-2 and EB-3 immigrant visa pathways, which involve PERM labor certification through DOL before an I-140 petition is filed with USCIS. The pathway depends on your nationality, degree, and role level.
What qualifications does NVIDIA expect for Software Engineer AI positions?
NVIDIA's Software Engineer AI roles typically require a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Strong proficiency in CUDA, Python, and C++ is expected. Practical experience with model training frameworks like PyTorch or JAX, and familiarity with inference optimization tools such as TensorRT, are common differentiators. PhD candidates are competitive for research-adjacent positions.
How do I understand the visa sponsorship timeline for a NVIDIA offer?
If you're offered an H-1B role at NVIDIA and don't already hold H-1B status, your start date will likely align with October 1, the start of the federal fiscal year. USCIS opens H-1B registration in March, with the lottery run shortly after. Premium processing is available and reduces the adjudication window to 15 business days, which NVIDIA has historically used for time-sensitive hires.
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