Senior Software Developer Jobs at NVIDIA with Visa Sponsorship
Senior Software Developer jobs at NVIDIA span GPU architecture, AI inference, and large-scale systems work that sits at the frontier of what the industry is building. NVIDIA has an established track record of sponsoring international engineers across multiple visa categories, making it a realistic target for skilled developers navigating U.S. work authorization.
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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 133+ Senior Software Developer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Developer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Senior Software Developer Jobs at NVIDIA
Align Your Portfolio to GPU or AI Work
NVIDIA's engineering teams prioritize deep systems expertise, not generalist experience. Before applying, tailor your portfolio to highlight GPU programming, CUDA, parallel computing, or AI inference work. Generic software projects won't differentiate you in a highly specialized applicant pool.
Verify Your Degree Field Matches the Role
H-1B and E-3 sponsorship both require your position to qualify as a specialty occupation, meaning your degree field must directly relate to the role. A computer science or electrical engineering degree maps cleanly; an unrelated field may require supporting documentation to establish equivalency.
Target NVIDIA's Roles Through Migrate Mate
Filter for Senior Software Developer openings at NVIDIA with confirmed visa sponsorship using Migrate Mate. This removes the guesswork of identifying which roles are actively open to H-1B or E-3 candidates, so you apply where sponsorship is already in scope.
Understand NVIDIA's Internal Transfer Option
If you're already in the U.S. on a valid visa, an H-1B transfer to NVIDIA avoids the lottery entirely. NVIDIA can file a cap-exempt transfer petition, meaning you can start without waiting for an October 1 start date if you've already been counted against the cap.
Ask About LCA Wage Level Before Negotiating
NVIDIA files a Labor Condition Application with the DOL before submitting your H-1B petition. The LCA locks in a wage level. Ask your recruiter which wage level the role is classified at, since this directly affects your offer range and USCIS adjudication.
Prepare for a Technical Interview Process Built Around Systems Depth
NVIDIA's Senior Software Developer interviews typically involve multiple rounds focused on low-level systems design, memory architecture, and performance optimization. Practicing general coding problems isn't enough; prepare for domain-specific rounds where hardware-software interaction is the core evaluation criterion.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Software Developers?
Yes, NVIDIA sponsors H-1B visas for Senior Software Developer roles. The process involves NVIDIA filing a Labor Condition Application with the DOL and then submitting an H-1B petition to USCIS on your behalf. For new H-1B holders, this is subject to the annual lottery, with a cap-exempt transfer available if you already hold H-1B status with another employer.
How do I apply for Senior Software Developer jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, where Senior Software Developer roles are listed by team and location. You can also browse confirmed visa-sponsoring openings at NVIDIA through Migrate Mate, which filters for roles where international sponsorship is in scope. Tailor your application to the specific engineering domain, whether that's AI, graphics, networking, or systems software, rather than submitting a generic resume.
Which visa types does NVIDIA commonly use for Senior Software Developer roles?
NVIDIA sponsors H-1B visas as the primary work authorization path for Senior Software Developers. Australian citizens can pursue the E-3 visa, which bypasses the lottery and allows for a faster timeline. For longer-term permanent residence, NVIDIA also supports EB-2 and EB-3 Green Card sponsorship, typically initiated after a period of employment through the PERM labor certification process.
What qualifications does NVIDIA expect for Senior Software Developer roles?
NVIDIA's Senior Software Developer positions generally require a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Beyond the degree, these roles demand demonstrated expertise in systems-level programming, performance optimization, and often domain-specific knowledge in GPU computing, AI frameworks, or networking. Several years of post-graduation industry experience is expected, not just academic credentials.
How do I understand the visa sponsorship timeline for a Senior Software Developer offer at NVIDIA?
Timeline depends on your current visa status. If you need a new H-1B, the lottery runs in March for an October 1 start date, meaning six or more months between offer and start. E-3 visa applicants can often complete consular processing in four to eight weeks. H-1B transfers for candidates already in status can proceed more quickly, with USCIS premium processing available to reduce the adjudication window to around two weeks.