AI Software Developer Jobs at NVIDIA with Visa Sponsorship
NVIDIA's AI Software Developer roles 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, E-3, and employment-based Green Card pathways.
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INTRODUCTION
We are seeking an AI Engineer to design and build intelligent systems that transform how we do customer support. Our organization processes large amounts of data from various sources, such as customers, end users, and web and social media platforms. This role focuses on using Generative AI, large language models (LLMs), and RAG-based systems to transform fragmented data into actionable insights. It also automates reporting and allows teams to engage with data in completely new ways.
One project within this role includes modernizing our localization workflows using AI, but the main focus is developing scalable tools that boost efficiency, increase visibility, and support decision-making across the organization.
What You’ll Be Doing:
- Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support
- Build systems that ingest and unify data from multiple sources (internal databases, forums, social media, internal tools)
- Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights
- Build automated reporting and metrics generation tools tailored to different collaborators (engineering, QA, program management, customers, support teams)
- Enable personalized, role-based data access—allowing individuals and teams to easily retrieve the information most relevant to them
- Identify patterns, trends, and root causes from internal systems using advanced analytical methods
- Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation
- Research, evaluate, and implement emerging AI technologies to continuously improve internal systems
- Provide technical leadership and guidelines for AI-based system build and deployment
What We Need to See:
- BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
- 8+ years of experience in Machine Learning, Natural Language Processing, or related AI domains
- Deep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflows
- Strong programming skills with extensive experience in Python
- Experience building production-grade AI systems, APIs, or data pipelines
- Experience working with large, complex datasets and building analytical or reporting systems
- Strong problem-solving skills, performance analysis experience, and debugging expertise
- Solid foundation in algorithms and mathematical principles
- Experience with source control tools such as Git or Perforce
- Ability to work independently and collaboratively across teams
Ways to Stand Out from the Crowd:
- Experience building analytics platforms or internal tools for data exploration using advanced technologies
- Experience applying AI to customer support, bug tracking, or large-scale feedback systems
- Familiarity with knowledge retrieval systems, embeddings, and semantic search
- Experience with real-time or near-real-time data processing pipelines
- Background in localization, translation systems, or multilingual AI workflows
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 - 270,250 USD for Level 4, and 200,000 USD - 322,000 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
We are seeking an AI Engineer to design and build intelligent systems that transform how we do customer support. Our organization processes large amounts of data from various sources, such as customers, end users, and web and social media platforms. This role focuses on using Generative AI, large language models (LLMs), and RAG-based systems to transform fragmented data into actionable insights. It also automates reporting and allows teams to engage with data in completely new ways.
One project within this role includes modernizing our localization workflows using AI, but the main focus is developing scalable tools that boost efficiency, increase visibility, and support decision-making across the organization.
What You’ll Be Doing:
- Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support
- Build systems that ingest and unify data from multiple sources (internal databases, forums, social media, internal tools)
- Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights
- Build automated reporting and metrics generation tools tailored to different collaborators (engineering, QA, program management, customers, support teams)
- Enable personalized, role-based data access—allowing individuals and teams to easily retrieve the information most relevant to them
- Identify patterns, trends, and root causes from internal systems using advanced analytical methods
- Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation
- Research, evaluate, and implement emerging AI technologies to continuously improve internal systems
- Provide technical leadership and guidelines for AI-based system build and deployment
What We Need to See:
- BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
- 8+ years of experience in Machine Learning, Natural Language Processing, or related AI domains
- Deep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflows
- Strong programming skills with extensive experience in Python
- Experience building production-grade AI systems, APIs, or data pipelines
- Experience working with large, complex datasets and building analytical or reporting systems
- Strong problem-solving skills, performance analysis experience, and debugging expertise
- Solid foundation in algorithms and mathematical principles
- Experience with source control tools such as Git or Perforce
- Ability to work independently and collaboratively across teams
Ways to Stand Out from the Crowd:
- Experience building analytics platforms or internal tools for data exploration using advanced technologies
- Experience applying AI to customer support, bug tracking, or large-scale feedback systems
- Familiarity with knowledge retrieval systems, embeddings, and semantic search
- Experience with real-time or near-real-time data processing pipelines
- Background in localization, translation systems, or multilingual AI workflows
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 - 270,250 USD for Level 4, and 200,000 USD - 322,000 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 AI Software Developer Jobs at NVIDIA Jobs
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.
AI Software Developer at NVIDIA jobs are hiring across the US. Find yours.
Find AI Software Developer at NVIDIA JobsFrequently 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.
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