Cloud Architect Jobs at NVIDIA with Visa Sponsorship
Cloud Architect jobs at NVIDIA sit at the intersection of AI infrastructure and enterprise-scale cloud platforms, working across internal systems and partner deployments. NVIDIA has a consistent track record of sponsoring work visas for technical architecture positions, making it a realistic target for international candidates with the right cloud and AI background.
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Get Access To All JobsINTRODUCTION
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
- Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
- Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
- Effective time management and capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentation, etc.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
- Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
- Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
- Solid working knowledge of Python.
- System-level experience, specifically GPU-based systems.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
COMPENSATION
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 October 18, 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
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
- Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
- Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
- Effective time management and capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentation, etc.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
- Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
- Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
- Solid working knowledge of Python.
- System-level experience, specifically GPU-based systems.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
COMPENSATION
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 October 18, 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 97+ Cloud Architect Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Architect Jobs at NVIDIA.
Get Access To All JobsTips for Finding Cloud Architect Jobs at NVIDIA
Build certifications aligned to NVIDIA's stack
NVIDIA's Cloud Architect roles prioritize hands-on experience with GPU-accelerated workloads on AWS, Azure, and GCP. Earning cloud provider certifications alongside NVIDIA DGX or NGC platform familiarity positions your resume above generalist cloud candidates.
Target NVIDIA's enterprise AI partnerships directly
NVIDIA embeds Cloud Architects across its consulting and professional services engagements with partners like Accenture and Deloitte. Roles posted under these verticals often have different hiring timelines than product teams, so filter your job search accordingly.
Confirm your visa category before applying
NVIDIA sponsors both H-1B and E-3 visas for Cloud Architect roles. If you're Australian, the E-3 has no lottery and can be filed year-round, which significantly changes your start date negotiations compared to H-1B cap timelines.
Time your offer conversations around the H-1B lottery
If you need H-1B sponsorship, NVIDIA must register you before the April lottery. Starting your application process in Q4 of the prior year gives their immigration team enough runway to prepare your registration before the March window closes.
Use Migrate Mate to surface open Cloud Architect roles
NVIDIA posts Cloud Architect openings across multiple business units and regions. Use Migrate Mate to filter for NVIDIA roles that explicitly support visa sponsorship, so you're not spending time on listings that don't apply to your situation.
Prepare your degree equivalency documentation early
USCIS requires Cloud Architect roles to qualify as specialty occupations, meaning your degree field must align with the position. If your credential is from outside the U.S., get an evaluation from a NACES-member agency before NVIDIA's HR team submits the I-129 petition.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Cloud Architects?
Yes, NVIDIA sponsors H-1B visas for Cloud Architect roles. Because H-1B is subject to the annual cap and lottery, NVIDIA's immigration team typically needs to register you by March for an October 1 start date. If you're mid-job-search, confirm the timeline with your recruiter early so there's no mismatch between your expected start and the cap schedule.
How do I apply for Cloud Architect jobs at NVIDIA?
Apply directly through NVIDIA's careers site, where Cloud Architect roles are posted under infrastructure, enterprise AI, and professional services teams. You can also browse open roles filtered by visa sponsorship eligibility on Migrate Mate. Tailor your application to highlight GPU-accelerated infrastructure experience and any enterprise cloud deployments at scale, since these align closely with what NVIDIA's architecture teams work on.
Which visa types does NVIDIA commonly use for Cloud Architect roles?
NVIDIA sponsors H-1B, E-3 visa, and Green Card pathways including EB-2 and EB-3 for Cloud Architect positions. Australian citizens are eligible for the E-3 visa, which bypasses the H-1B lottery and allows year-round filing. For longer-term immigration goals, NVIDIA has a track record of supporting PERM labor certification and I-140 petitions for architecture-level technical roles.
What qualifications does NVIDIA expect for Cloud Architect roles?
NVIDIA typically expects a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Beyond the degree, practical experience designing GPU-accelerated or high-performance computing environments on major cloud platforms is weighted heavily. Familiarity with NVIDIA's software ecosystem, including CUDA, TensorRT, or NGC, is a common differentiator that appears across Cloud Architect job descriptions.
How do I know if a Cloud Architect role at NVIDIA will lead to a Green Card?
NVIDIA supports EB-2 and EB-3 Green Card sponsorship for Cloud Architects, but the process starts with PERM labor certification filed through the DOL, which can take one to two years before the I-140 petition stage. Ask your recruiter directly about NVIDIA's sponsorship policy for permanent residency during the offer stage, not after you've already started.