AI Software Developer Jobs at NVIDIA with Visa Sponsorship
AI Software Developer jobs at NVIDIA sit at the intersection of GPU architecture and large-scale model development, covering everything from CUDA optimization to inference infrastructure. NVIDIA has a consistent track record of sponsoring work visas for this function, including H-1B visa, E-3 visa, and employment-based Green Card pathways.
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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 currently hiring an AI/ML Infrastructure Software Engineer at NVIDIA to join our Hardware Infrastructure team. As an Engineer, you will play a crucial role in boosting productivity for our researchers through implementing advancements across the entire stack. Your primary responsibility will involve working closely with customers to identify and resolve infrastructure gaps, enabling innovative AI and ML research on GPU Clusters. Together, we can create powerful, efficient, and scalable solutions as we shape the future of AI/ML technology!
ROLE AND RESPONSIBILITIES
What you will be doing:
- Collaborate closely with our AI and ML research teams to understand their infrastructure needs and obstacles, translating those observations into actionable improvements.
- Monitor and optimize the performance of our infrastructure ensuring high availability, scalability, and efficient resource utilization.
- Help define and improve important measures of AI researcher efficiency, ensuring that our actions are in line with measurable results.
- Collaborate with diverse teams, including researchers, data engineers, and DevOps professionals, to build a seamless and coordinated AI/ML infrastructure ecosystem.
- Stay on top of the latest advancements in AI/ML technologies, frameworks, and effective strategies, and promote their implementation within the company.
BASIC QUALIFICATIONS
What we need to see:
- Recent graduate with a MS, PhD or equivalent experience in Computer Science or related field, with proven experience in AI/ML and HPC workloads and infrastructure.
- Hands-on experience in using or operating High Performance Computing (HPC) grade infrastructure as well as in-depth knowledge of accelerated computing (e.g., GPU, custom silicon), storage (e.g., Lustre, GPFS, BeeGFS), scheduling & orchestration (e.g., Slurm, Kubernetes, LSF), high-speed networking (e.g., Infiniband, RoCE, Amazon EFA), and containers technologies (Docker, Enroot).
- Expertise in running and optimizing large-scale distributed training workloads using PyTorch (DDP, FSDP), NeMo, or JAX. Also, possess a deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
- Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms.
- Passion for continual learning and keeping abreast of new technologies and effective approaches in the AI/ML infrastructure field.
- Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds.
PREFERRED QUALIFICATIONS
NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth. If you're a passionate and independent engineer with a love 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 27, 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 currently hiring an AI/ML Infrastructure Software Engineer at NVIDIA to join our Hardware Infrastructure team. As an Engineer, you will play a crucial role in boosting productivity for our researchers through implementing advancements across the entire stack. Your primary responsibility will involve working closely with customers to identify and resolve infrastructure gaps, enabling innovative AI and ML research on GPU Clusters. Together, we can create powerful, efficient, and scalable solutions as we shape the future of AI/ML technology!
ROLE AND RESPONSIBILITIES
What you will be doing:
- Collaborate closely with our AI and ML research teams to understand their infrastructure needs and obstacles, translating those observations into actionable improvements.
- Monitor and optimize the performance of our infrastructure ensuring high availability, scalability, and efficient resource utilization.
- Help define and improve important measures of AI researcher efficiency, ensuring that our actions are in line with measurable results.
- Collaborate with diverse teams, including researchers, data engineers, and DevOps professionals, to build a seamless and coordinated AI/ML infrastructure ecosystem.
- Stay on top of the latest advancements in AI/ML technologies, frameworks, and effective strategies, and promote their implementation within the company.
BASIC QUALIFICATIONS
What we need to see:
- Recent graduate with a MS, PhD or equivalent experience in Computer Science or related field, with proven experience in AI/ML and HPC workloads and infrastructure.
- Hands-on experience in using or operating High Performance Computing (HPC) grade infrastructure as well as in-depth knowledge of accelerated computing (e.g., GPU, custom silicon), storage (e.g., Lustre, GPFS, BeeGFS), scheduling & orchestration (e.g., Slurm, Kubernetes, LSF), high-speed networking (e.g., Infiniband, RoCE, Amazon EFA), and containers technologies (Docker, Enroot).
- Expertise in running and optimizing large-scale distributed training workloads using PyTorch (DDP, FSDP), NeMo, or JAX. Also, possess a deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
- Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms.
- Passion for continual learning and keeping abreast of new technologies and effective approaches in the AI/ML infrastructure field.
- Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds.
PREFERRED QUALIFICATIONS
NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth. If you're a passionate and independent engineer with a love 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 27, 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 AI Software Developer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Software Developer Jobs at NVIDIA.
Get Access To All JobsTips for Finding AI Software Developer Jobs at NVIDIA
Align your portfolio to NVIDIA's stack
NVIDIA's AI Software Developer interviews heavily emphasize CUDA programming, TensorRT, and deep learning frameworks like PyTorch. Build and document projects that demonstrate GPU-accelerated model development before you apply, not after you get the recruiter call.
Target NVIDIA's documented sponsorship-active teams
NVIDIA's AI infrastructure and developer tools divisions file LCAs with the DOL regularly. Search the OFLC public disclosure data by job title and employer to identify which teams and locations have active sponsorship history before targeting specific roles.
Get your credential evaluation done early
If your engineering or computer science degree is from outside the U.S., get a credential evaluation from NACES-member evaluator before your first NVIDIA interview. Delays here can stall your I-129 filing after an offer is extended.
Understand NVIDIA's H-1B cap-exempt leverage
If you're already in H-1B status with another employer, a transfer to NVIDIA doesn't require a new lottery selection. NVIDIA can file an H-1B transfer with USCIS as soon as you have a signed offer, letting you start immediately upon receipt notice.
Track open AI Software Developer roles through Migrate Mate
Finding roles where NVIDIA is actively sponsoring for your specific visa type can be difficult across general job boards. Use Migrate Mate to filter AI Software Developer openings at NVIDIA by the visa types relevant to your situation.
Plan for PERM timing if you want a Green Card
NVIDIA sponsors EB-2 and EB-3 Green Cards for AI Software Developers, but PERM labor certification with DOL typically adds 12 to 18 months before your I-140 even files. Start that conversation with your hiring manager during offer negotiation, not a year into the role.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Software Developers?
Yes, NVIDIA sponsors H-1B visas for AI Software Developer roles. NVIDIA participates in the annual H-1B lottery for candidates who need initial cap-subject selection, and it can also file cap-exempt H-1B transfers for candidates already in H-1B status. USCIS requires a certified Labor Condition Application from the DOL before any H-1B petition is filed, which NVIDIA's immigration team handles.
Which visa types does NVIDIA commonly use for AI Software Developer roles?
NVIDIA sponsors H-1B visas for the broadest pool of international candidates, along with E-3 visas for Australian citizens, which bypass the lottery entirely. For longer-term pathways, NVIDIA supports EB-2 and EB-3 employment-based Green Card sponsorship for AI Software Developers, typically initiated after you've been in the role for some time. The right pathway depends on your nationality, current status, and career stage.
How do I apply for AI Software Developer jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where you can filter by job function and location. For roles specifically aligned to your visa type, Migrate Mate lets you browse NVIDIA's open AI Software Developer positions filtered by sponsorship category, which saves time if you need H-1B or E-3 sponsorship. Tailor your resume to highlight CUDA, GPU architecture, or inference optimization experience, as these are consistently weighted in NVIDIA's technical screens.
What qualifications does NVIDIA expect for AI Software Developer roles?
NVIDIA's AI Software Developer positions generally require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Practical experience with GPU programming, deep learning frameworks such as PyTorch or JAX, and systems-level optimization is consistently expected. Graduate research or industry experience in model training infrastructure, compiler design, or distributed systems strengthens your candidacy significantly for senior-level postings.
How long does the visa sponsorship process take after receiving an offer from NVIDIA?
For an H-1B transfer from another employer, USCIS can process the petition in as little as two to three weeks with premium processing, and you can start work upon receipt. For a cap-subject H-1B, you're looking at a lottery in March with an October 1 start date at the earliest. E-3 sponsorship moves faster since consular processing in Australia often runs two to four weeks after the DOL certifies the LCA.