Software Developer Jobs at NVIDIA with Visa Sponsorship
Software Developer jobs at NVIDIA span GPU architecture, AI frameworks, driver development, and systems programming at the intersection of hardware and software. NVIDIA has an established track record of sponsoring international engineers across multiple visa categories, making it a realistic target for skilled developers pursuing U.S. work authorization.
Find Software Developer Jobs at NVIDIAOverview
Showing 5 of 135+ Software Developer Jobs at NVIDIA
See all 135+ Software Developer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Developer Jobs at NVIDIA.
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 135+ Software Developer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Developer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Software Developer Jobs at NVIDIA
Align your portfolio to NVIDIA's technical stack
NVIDIA's Software Developer hiring centers on CUDA, parallel computing, graphics pipelines, and AI/ML frameworks like TensorRT. Showcasing projects or contributions in these areas signals immediate fit and reduces the friction that can slow sponsorship conversations.
Confirm your degree field before applying
H-1B specialty occupation requires a degree in a directly related field. Computer science, electrical engineering, and software engineering align cleanly. A degree in an adjacent field may trigger a Request for Evidence, so assess your situation before the offer stage.
Target roles that cross hardware and software boundaries
NVIDIA consistently hires software engineers who work at the interface of firmware, drivers, and GPU hardware. These roles are harder to fill domestically, which means hiring managers have more motivation to support a sponsorship-dependent candidate through the process.
Understand how NVIDIA's internal teams file H-1B petitions
Large employers like NVIDIA typically file H-1B petitions through in-house immigration teams. Once you have an offer, ask whether the team uses premium processing, as the standard track can extend your wait well beyond the H-1B cap start date of October 1.
Use Migrate Mate to filter Software Developer openings by visa type
Not every NVIDIA listing is open to sponsored candidates. Use Migrate Mate to filter Software Developer roles at NVIDIA specifically by H-1B or E-3 sponsorship, so you're only applying where your visa situation is already accounted for.
Prepare your credential documentation before the offer arrives
NVIDIA's immigration process moves quickly after an offer. Have your transcripts, any foreign degree evaluations, and prior visa approvals or I-94 records organized in advance so your attorney or HR contact can initiate the LCA filing with the DOL without delays.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Developers?
Yes, NVIDIA sponsors H-1B visas for Software Developer roles. NVIDIA participates in the annual H-1B cap lottery each April and also files cap-exempt petitions where applicable. Once you receive an offer, NVIDIA's internal immigration team coordinates the Labor Condition Application with the DOL and the I-129 petition with USCIS. Confirming your role's eligibility early in the offer process is the best way to avoid surprises.
How do I apply for Software Developer jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where roles are listed by team and location. For sponsored positions specifically, Migrate Mate filters NVIDIA's Software Developer openings by visa type so you can identify which listings are open to H-1B or E-3 visa candidates before applying. Tailoring your resume to NVIDIA's technical focus areas, particularly GPU computing, AI frameworks, and systems software, improves your chances of clearing the initial screening.
Which visa types does NVIDIA commonly use for Software Developer roles?
NVIDIA sponsors H-1B visas most frequently for Software Developers, given the role's specialty occupation classification. Australian citizens may be eligible for the E-3 visa, which bypasses the H-1B lottery entirely and allows two-year renewable status. For permanent residence, NVIDIA uses the EB-2 and EB-3 categories, typically through the PERM labor certification process filed with the DOL.
What qualifications does NVIDIA expect for sponsored Software Developer roles?
NVIDIA's Software Developer roles typically require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, which also satisfies the H-1B specialty occupation standard. Beyond credentials, NVIDIA looks for depth in areas like CUDA programming, parallel systems, graphics APIs, or AI inference optimization. Candidates with experience contributing to open-source projects or published research in these areas tend to move through screening faster.
How do I understand the timeline for NVIDIA's H-1B sponsorship process?
The H-1B process has fixed milestones: USCIS opens registration in March, the lottery runs in late March, and approved petitions can be filed from April 1 for an October 1 start date. If you're already in valid H-1B status with another employer, NVIDIA can file a transfer petition outside the cap, meaning work can begin much sooner. Confirm with your NVIDIA contact whether premium processing, which reduces USCIS adjudication to 15 business days, is available for your petition.