Cloud Software Engineer Jobs at NVIDIA with Visa Sponsorship
Cloud Software Engineer jobs at NVIDIA span cloud infrastructure, platform engineering, and distributed systems work supporting GPU computing at scale. NVIDIA has a consistent track record of sponsoring international engineers across H-1B visa, E-3 visa, and Green Card pathways, making it a strong target for visa-dependent candidates in this discipline.
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Get Access To All JobsINTRODUCTION
We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable both rapid prototyping and the next generation of highly automated AI assisted CUDA development, from coding to profiling and performance fine-tuning.
In this role, you will architect cloud solutions that leverage Nvidia microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.
ROLE AND RESPONSIBILITIES:
- Work closely with our product and research teams to define feature specifications and build the next generation of AI coding and profiling agents and services.
- Architect, design and develop high-performance and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
- Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services for both external and internal customers.
- Mentor engineers and review code and design.
BASIC QUALIFICATIONS:
- B.S. (or equivalent experience) in Computer Science with 12+ years of industry experience.
- Experience in large-scale user-facing application development using web/cloud services.
- Experience with full-stack web UI development using React, JavaScript, HTML, and CSS.
- Familiar with Kubernetes, Infrastructure as Code, AWS.
- Experience with DevOps including CI/CD, monitoring and alerts.
- Proficiency in Python.
- Strong communication skills to collaborate with cross-functional partners.
- Familiar with building either agent workflow and harness or sandboxing for agent or GPU environment in the cloud.
PREFERRED QUALIFICATIONS:
- Experience writing CUDA code and optimizing CUDA kernels.
- Experience with Kata Container or any other VM-based container runtime.
- GPU profiling, benchmark performance in a consistent and repeatable way.
- Proficiency in Rust.
With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are enthusiastic about empowering new programmers to excel and experienced accelerated computing users to redefine an industry, this is the role for 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 16, 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
We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable both rapid prototyping and the next generation of highly automated AI assisted CUDA development, from coding to profiling and performance fine-tuning.
In this role, you will architect cloud solutions that leverage Nvidia microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.
ROLE AND RESPONSIBILITIES:
- Work closely with our product and research teams to define feature specifications and build the next generation of AI coding and profiling agents and services.
- Architect, design and develop high-performance and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
- Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services for both external and internal customers.
- Mentor engineers and review code and design.
BASIC QUALIFICATIONS:
- B.S. (or equivalent experience) in Computer Science with 12+ years of industry experience.
- Experience in large-scale user-facing application development using web/cloud services.
- Experience with full-stack web UI development using React, JavaScript, HTML, and CSS.
- Familiar with Kubernetes, Infrastructure as Code, AWS.
- Experience with DevOps including CI/CD, monitoring and alerts.
- Proficiency in Python.
- Strong communication skills to collaborate with cross-functional partners.
- Familiar with building either agent workflow and harness or sandboxing for agent or GPU environment in the cloud.
PREFERRED QUALIFICATIONS:
- Experience writing CUDA code and optimizing CUDA kernels.
- Experience with Kata Container or any other VM-based container runtime.
- GPU profiling, benchmark performance in a consistent and repeatable way.
- Proficiency in Rust.
With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are enthusiastic about empowering new programmers to excel and experienced accelerated computing users to redefine an industry, this is the role for 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 16, 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 98+ Cloud Software Engineer Jobs at NVIDIA
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Get Access To All JobsTips for Finding Cloud Software Engineer Jobs at NVIDIA
Align your cloud stack to NVIDIA's infrastructure
NVIDIA's cloud engineering teams work heavily with Kubernetes, CUDA-accelerated workloads, and large-scale distributed systems. Highlighting hands-on experience with these technologies in your resume signals direct fit before your application reaches a recruiter.
Target roles flagged as H-1B eligible
NVIDIA posts roles across multiple engineering tracks, but not all carry the same sponsorship posture. Filter your search specifically for Cloud Software Engineer postings that list visa sponsorship as available, then cross-reference using Migrate Mate to surface active openings faster.
Understand how specialty occupation applies to your role
USCIS requires H-1B petitions to demonstrate the position qualifies as a specialty occupation. Cloud Software Engineer roles at NVIDIA typically satisfy this through degree requirements in computer science or electrical engineering, so your credentials should reflect that field-specific match explicitly.
Prepare for a technical loop early in the process
NVIDIA's cloud engineering interviews are systems-focused, often covering distributed architecture, cloud networking, and performance optimization. Having a portfolio or documented project work that addresses GPU-adjacent infrastructure gives you a concrete edge when the offer conversation begins.
Confirm your visa category before negotiating the offer
E-3 applicants and H-1B holders have different filing timelines and start-date constraints. If NVIDIA extends an offer, clarify with their immigration team which pathway applies to your situation before accepting, so the LCA filing with DOL can begin without delay.
Build your credentials around Green Card progression
NVIDIA sponsors EB-2 and EB-3 Green Cards for engineering roles. If long-term U.S. residency is your goal, prioritizing roles where PERM labor certification is part of the standard employment track gives your career trajectory more stability from day one.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Cloud Software Engineers?
Yes, NVIDIA sponsors H-1B visas for Cloud Software Engineers. The company files petitions through the standard H-1B cap process, which is subject to the annual lottery each March. Because H-1B selection is not guaranteed, it's worth confirming sponsorship availability directly with NVIDIA's recruiting team early in the interview process, before an offer is formally extended.
How do I apply for Cloud Software Engineer jobs at NVIDIA?
You can apply directly through NVIDIA's careers portal or use Migrate Mate to browse Cloud Software Engineer openings at NVIDIA filtered specifically for visa sponsorship availability. When applying, tailor your resume to reflect cloud infrastructure experience relevant to GPU computing, distributed systems, or platform engineering, as these are the technical areas NVIDIA's hiring teams prioritize for this role.
Which visa types does NVIDIA commonly use for Cloud Software Engineers?
NVIDIA sponsors H-1B, E-3, and Green Card pathways including EB-2 and EB-3 for Cloud Software Engineers. Australian citizens are eligible for the E-3 visa, which bypasses the H-1B lottery entirely and can be processed at a U.S. consulate. For longer-term immigration goals, NVIDIA's PERM-based Green Card sponsorship is available for qualifying engineering positions.
What qualifications does NVIDIA expect for Cloud Software Engineer roles?
NVIDIA's Cloud Software Engineer roles typically require a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Practical experience with large-scale distributed systems, container orchestration platforms like Kubernetes, and cloud provider infrastructure is expected. Roles tied to GPU computing or AI infrastructure may also require familiarity with CUDA or high-performance networking environments.
How do I plan my timeline if NVIDIA is sponsoring my H-1B?
H-1B cap-subject petitions must be filed in April for an October 1 start date, following a lottery in March. If you receive an offer outside that window, NVIDIA may be able to file under cap-exempt provisions or explore alternative pathways. Confirming your start date eligibility and the DOL's Labor Condition Application timeline with NVIDIA's immigration team immediately after receiving an offer prevents costly delays.