Cloud Engineer Jobs at NVIDIA with Visa Sponsorship
Cloud Engineer jobs at NVIDIA involve building and scaling the infrastructure behind its AI platforms, GPU cloud services, and enterprise solutions. The company has an established sponsorship process for H-1B visa, E-3 visa, and employment-based Green Card pathways, making it a realistic target for international candidates with strong cloud infrastructure backgrounds.
Find Cloud Engineer Jobs at NVIDIAOverview
Showing 5 of 98+ Cloud Engineer Jobs at NVIDIA
See all 98+ Cloud Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Engineer Jobs at NVIDIA.
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 Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Cloud Engineer Jobs at NVIDIA
Align your credentials to NVIDIA's cloud stack
NVIDIA's Cloud Engineer roles emphasize CUDA-accelerated infrastructure, Kubernetes orchestration, and multi-cloud deployments on AWS, Azure, and GCP. Certifications in those platforms plus hands-on GPU workload experience make your profile directly relevant before you apply.
Target roles tied to NVIDIA's AI infrastructure teams
Positions supporting DGX Cloud, NVIDIA Base Command, or networking fabric projects carry deeper technical requirements and tend to stay open longer, giving you more time to engage hiring managers directly rather than competing in high-volume applicant pools.
Confirm your visa category before accepting an offer
NVIDIA sponsors H-1B, E-3, and employment-based Green Cards, but the right path depends on your nationality and current status. Australian citizens can use the E-3 track, which skips the H-1B lottery entirely and has no annual cap to worry about.
Prepare your specialty occupation documentation early
For H-1B sponsorship, USCIS requires evidence that the Cloud Engineer role demands a specific bachelor's degree or higher. Gather your transcripts, degree equivalency evaluations if needed, and any documentation showing your role requires specialized cloud architecture knowledge.
Ask about PERM timing during offer negotiation
If you're targeting a Green Card through NVIDIA, the PERM labor certification process starts after you're hired and can run 12 to 24 months before USCIS even receives the I-140 petition. Clarifying when NVIDIA typically initiates PERM helps you plan your long-term status.
Use Migrate Mate to find open Cloud Engineer roles at NVIDIA
Filter by visa type and role to surface active Cloud Engineer positions where NVIDIA is actively hiring sponsored candidates. Applying to roles with confirmed sponsorship history saves time compared to cold outreach or sifting through general job boards.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Cloud Engineers?
Yes, NVIDIA sponsors H-1B visas for Cloud Engineer roles. The company files H-1B petitions through the standard USCIS cap-subject lottery process, which runs each spring for an October 1 start date. If you're an Australian citizen, the E-3 visa is also available through NVIDIA and avoids the lottery entirely, which is a meaningful advantage for eligible candidates.
Which visa types does NVIDIA sponsor for Cloud Engineer roles?
NVIDIA sponsors H-1B and E-3 visas for nonimmigrant work authorization, along with employment-based Green Cards through the EB-2 and EB-3 preference categories for candidates pursuing permanent residence. Australian nationals benefit from having the E-3 option, which has a separate annual allocation and no lottery, making it a more predictable path than the H-1B for those who qualify.
What qualifications does NVIDIA expect for Cloud Engineer roles?
NVIDIA's Cloud Engineer positions typically require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Beyond the degree, the roles emphasize hands-on experience with GPU-accelerated infrastructure, container orchestration platforms like Kubernetes, and multi-cloud environments. Familiarity with NVIDIA's own platforms, such as DGX systems or NEMO frameworks, is a differentiating factor in competitive applicant pools.
How do I apply for Cloud Engineer jobs at NVIDIA?
You can browse and apply for Cloud Engineer roles at NVIDIA through Migrate Mate, which filters open positions by visa sponsorship type so you can confirm H-1B or E-3 eligibility before applying. When you apply, tailor your resume to reflect cloud infrastructure experience directly relevant to NVIDIA's AI and GPU platform work, and be prepared for technical interviews covering distributed systems, networking, and cloud-native architecture.
How do I manage my visa status timeline while pursuing a role at NVIDIA?
If you're on OPT or a soon-to-expire status, timing your NVIDIA application around the H-1B cap season matters. USCIS typically opens H-1B registration in March for an October 1 start. If you miss the lottery, NVIDIA's E-3 track for Australians or cap-exempt filing scenarios, such as moving from an F-1 OPT extension, may offer alternative paths worth discussing with a sponsored offer in hand.