Software Engineer Jobs at NVIDIA with Visa Sponsorship
Software Engineer jobs at NVIDIA span GPU architecture, AI infrastructure, compiler toolchains, and systems software, requiring deep technical specialization across these domains. The company has a consistent track record of sponsoring work visas for this function, with pathways covering both temporary work authorization and permanent residence.
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Get Access To All JobsINTRODUCTION
NVIDIA Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.
ROLE AND RESPONSIBILITIES:
- Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
- Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
- Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
- Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
- Shepherding customer issues to resolution and providing timely warning of issues and risks.
- Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.
BASIC QUALIFICATIONS:
- Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
- At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
- Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
- Knowledge of CPU and GPU architecture.
- Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
- Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.
PREFERRED QUALIFICATIONS:
- Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
- Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
- Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
- Prior experience in building distributed systems.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 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 Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.
ROLE AND RESPONSIBILITIES:
- Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
- Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
- Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
- Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
- Shepherding customer issues to resolution and providing timely warning of issues and risks.
- Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.
BASIC QUALIFICATIONS:
- Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
- At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
- Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
- Knowledge of CPU and GPU architecture.
- Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
- Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.
PREFERRED QUALIFICATIONS:
- Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
- Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
- Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
- Prior experience in building distributed systems.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 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 134+ Software Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Software Engineer Jobs at NVIDIA
Align your resume to NVIDIA's technical domains
NVIDIA hires Software Engineers across CUDA, driver stacks, AI frameworks, and networking. Tailor your resume to one of these verticals rather than applying generically. Recruiters filter by technical depth, not breadth.
Target teams with active immigration pipelines
NVIDIA's hardware-adjacent software teams, particularly those building compilers, firmware, and accelerated computing libraries, have historically filed H-1B petitions at scale. Focusing your applications on these groups increases your odds of landing a sponsorship-ready role.
Confirm visa type eligibility before your offer stage
NVIDIA sponsors H-1B, E-3, and Green Card pathways. If you're Australian, clarify E-3 eligibility with your recruiter early. E-3 avoids the H-1B lottery entirely and can move faster through the offer and filing stages.
Prepare your specialty occupation documentation now
USCIS requires Software Engineer petitions to demonstrate specialty occupation status. Gather transcripts, degree equivalency evaluations if your credential is foreign, and documentation linking your specific degree field to the role's technical requirements before your offer arrives.
Understand NVIDIA's PERM timeline if targeting a Green Card
NVIDIA sponsors EB-2 and EB-3 Green Cards for Software Engineers, but PERM labor certification through DOL typically takes 12 to 18 months before the I-140 petition even begins. Factor this into your long-term authorization planning, especially if you're on H-1B with limited time.
Use Migrate Mate to find open Software Engineer roles at NVIDIA
Identifying which specific NVIDIA teams are actively hiring and sponsoring visas is the hardest part of this process. Use Migrate Mate to browse current Software Engineer openings at NVIDIA filtered by visa sponsorship type so you apply where sponsorship is already confirmed.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Engineers?
Yes, NVIDIA sponsors H-1B visas for Software Engineers. The company participates in the annual H-1B cap lottery each April for new applicants and also files cap-exempt petitions for candidates already holding H-1B status through a different employer. NVIDIA's software engineering roles typically qualify as specialty occupations under USCIS criteria, given the degree requirements involved.
How do I apply for Software Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers site, where roles are listed by team and technical domain. You can also browse NVIDIA's open Software Engineer positions filtered by visa sponsorship type on Migrate Mate, which makes it easier to identify roles where sponsorship is actively offered. Tailor your application to a specific engineering domain rather than applying broadly across all open positions.
Which visa types does NVIDIA sponsor for Software Engineer roles?
NVIDIA sponsors H-1B visas for most Software Engineer candidates, E-3 visas for Australian citizens, and immigrant visa pathways through EB-2 and EB-3 Green Card sponsorship. The right visa depends on your nationality, current status, and career stage. Australian engineers often benefit from pursuing the E-3 visa first, since it bypasses the H-1B lottery entirely.
What qualifications does NVIDIA expect for Software Engineer roles?
Most Software Engineer roles at NVIDIA require a bachelor's degree or higher in Computer Science, Electrical Engineering, or a closely related field. Many openings, particularly in GPU computing, compiler development, and AI systems, also expect hands-on experience with C++, CUDA, or systems-level programming. A strong academic background combined with practical experience in one of NVIDIA's core technical domains is the profile that advances furthest in their hiring process.
How do I time my application if I need H-1B sponsorship?
H-1B cap petitions are filed in April for an October 1 start date, which means you need an offer in hand by late February or early March to give your employer time to file. If you're on OPT, confirm your expiration date against this window. Candidates already in H-1B status can transfer to NVIDIA outside the cap cycle without waiting for April.