Senior Software Development Engineer Jobs at NVIDIA with Visa Sponsorship
Senior Software Development Engineer jobs at NVIDIA sit at the intersection of systems architecture, GPU computing, and large-scale software infrastructure. NVIDIA has a well-established sponsorship process for engineering talent, making it a realistic target for international candidates pursuing H-1B visa, E-3 visa, or permanent residence pathways.
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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+ Senior Software Development Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Development Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Senior Software Development Engineer Jobs at NVIDIA
Align your portfolio to GPU-adjacent work
NVIDIA's engineering hiring centers on parallel computing, CUDA, and systems-level software. Before applying, reframe past projects around performance optimization, hardware-software co-design, or accelerated computing to match the technical lens NVIDIA interviewers use.
Research NVIDIA's LCA filings for your specialty
DOL Labor Condition Application disclosures show which job titles and work locations NVIDIA actively sponsors. Searching OFLC disclosure data by employer name helps you identify which engineering specializations are highest volume and where NVIDIA's sponsored roles are concentrated.
Clarify your visa category before the offer stage
NVIDIA sponsors H-1B, E-3, and Green Card pathways, but each has different timelines and requirements. Australian citizens should flag E-3 eligibility early, since it bypasses the H-1B lottery and allows year-round filing without waiting for an October start date.
Prepare your specialty occupation documentation now
USCIS requires that your degree field directly corresponds to the Senior Software Development Engineer role. Gather transcripts, credential evaluations for non-U.S. degrees, and a detailed job description that maps your academic background to the specific engineering functions you'll perform.
Target NVIDIA's infrastructure and platform teams
NVIDIA's sponsored engineering roles cluster around developer tooling, driver software, and AI infrastructure rather than consumer product work. Tailoring your application to these internal platform functions signals alignment with where NVIDIA's international hiring is most active.
Use Migrate Mate to filter open roles by sponsorship
Finding NVIDIA's active Senior Software Development Engineer openings that explicitly support visa sponsorship takes time when searching general job boards. Migrate Mate filters NVIDIA's listings specifically for sponsored roles, so you can prioritize applications where international candidates are already expected.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Software Development Engineers?
Yes, NVIDIA sponsors H-1B visas for Senior Software Development Engineers. NVIDIA participates in the annual H-1B cap lottery each spring, with a target start date of October 1. Given that lottery selection is not guaranteed, many candidates also explore whether they qualify for cap-exempt filings through a qualifying institution or whether an E-3 or other category applies to their situation.
How do I apply for Senior Software Development Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where you can filter by role and location. Most Senior Software Development Engineer openings require a resume that speaks directly to systems software, GPU architecture, or accelerated computing. Migrate Mate lists NVIDIA's sponsored engineering roles in one place, making it easier to identify which openings are actively supporting visa sponsorship before you apply.
Which visa types does NVIDIA commonly use for Senior Software Development Engineers?
NVIDIA uses H-1B visas most frequently for Senior Software Development Engineers, but also sponsors E-3 visas for Australian citizens and supports EB-2 and EB-3 Green Card petitions for longer-term hires. The E-3 is particularly practical for Australians because it has no lottery, can be filed at any time of year, and allows two-year renewable stays tied to a specific employer and role.
What qualifications does NVIDIA expect for a Senior Software Development Engineer?
NVIDIA typically expects a bachelor's degree or higher in computer science, computer engineering, or a directly related field, along with meaningful industry experience in systems programming, parallel computing, or software infrastructure. For USCIS specialty occupation purposes, your degree field must correspond to the role's technical requirements. Candidates with CUDA, C++, or operating systems experience are especially competitive for NVIDIA's core engineering openings.
How do I time my application if I need H-1B sponsorship at NVIDIA?
H-1B cap-subject petitions are filed in April for an October 1 start, so aligning your offer timeline to that window is important. NVIDIA typically recruits senior engineers on a rolling basis, but candidates needing cap-subject H-1B sponsorship should aim to have an offer in place by late winter or early spring. If you're already in valid status through OPT or another visa, NVIDIA can file a transfer or extension outside the cap window.