AI Architect Jobs at NVIDIA with Visa Sponsorship
AI Architect jobs at NVIDIA sit at the intersection of large-scale GPU infrastructure, deep learning systems design, and enterprise deployment. NVIDIA has a consistent track record of sponsoring work visas across multiple categories for technical architecture roles, making it a realistic target for international candidates with the right background.
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Get Access To All JobsINTRODUCTION
Do you want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large-scale HPC and AI infrastructure to join our team at NVIDIA. As Solution Architects, we are actively helping make AI Factories a reality. Working closely with customers and partners to address unsolved problems in the industry, our team helps to deploy and operationalize AI solutions at scale.
ROLE AND RESPONSIBILITIES
Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. For this particular role, that means having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. This is a multi-faceted role necessitating being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources. We succeed when we help our customers overcome barriers to adopting our best known methods. As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success. If this sounds exciting to you, then NVIDIA might be your new home. As a team, we also excel at sharing knowledge with our colleagues, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we tackle sophisticated problems and help bring NVIDIA's premiere technologies to life. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that!
BASIC QUALIFICATIONS
- Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI.
- A track record of defining and using MLOps and AI workflow tools and processes.
- 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking.
- Strong foundational expertise and a BS, MS, or equivalent experience in Engineering.
- Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
- Ability to multitask efficiently in a multifaceted environment.
- Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability.
- Flexibility to adapt in fluid situations, especially with partners or customers.
- Comfortable with occasional travel to customer sites.
PREFERRED QUALIFICATIONS
- Hands-on experience with Arm-based server processors and the Arm software ecosystem.
- Proficiency with tooling, automation, and performance testing for large-scale clusters, preferably using AI tools.
- Deep understanding of Agentic AI and inference workflows.
- Experience building, using, and explaining reinforcement learning.
- Willingness and ability to learn quickly as we address sophisticated problems, and an understanding of how all elements of the AI Factory interact with each other.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 19, 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.
JR2016456
INTRODUCTION
Do you want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large-scale HPC and AI infrastructure to join our team at NVIDIA. As Solution Architects, we are actively helping make AI Factories a reality. Working closely with customers and partners to address unsolved problems in the industry, our team helps to deploy and operationalize AI solutions at scale.
ROLE AND RESPONSIBILITIES
Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. For this particular role, that means having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. This is a multi-faceted role necessitating being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources. We succeed when we help our customers overcome barriers to adopting our best known methods. As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success. If this sounds exciting to you, then NVIDIA might be your new home. As a team, we also excel at sharing knowledge with our colleagues, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we tackle sophisticated problems and help bring NVIDIA's premiere technologies to life. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that!
BASIC QUALIFICATIONS
- Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI.
- A track record of defining and using MLOps and AI workflow tools and processes.
- 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking.
- Strong foundational expertise and a BS, MS, or equivalent experience in Engineering.
- Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
- Ability to multitask efficiently in a multifaceted environment.
- Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability.
- Flexibility to adapt in fluid situations, especially with partners or customers.
- Comfortable with occasional travel to customer sites.
PREFERRED QUALIFICATIONS
- Hands-on experience with Arm-based server processors and the Arm software ecosystem.
- Proficiency with tooling, automation, and performance testing for large-scale clusters, preferably using AI tools.
- Deep understanding of Agentic AI and inference workflows.
- Experience building, using, and explaining reinforcement learning.
- Willingness and ability to learn quickly as we address sophisticated problems, and an understanding of how all elements of the AI Factory interact with each other.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 19, 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.
JR2016456
See all AI Architect Jobs at NVIDIA
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Get Access To All JobsTips for Finding AI Architect Jobs at NVIDIA
Align your portfolio to NVIDIA's deployment scale
NVIDIA hires AI Architects who have designed systems at GPU-cluster scale, not just trained models. Document architectures you've built involving distributed inference, CUDA optimization, or multi-node training pipelines before you apply.
Target NVIDIA's enterprise and cloud divisions specifically
NVIDIA's AI Architect openings are concentrated in teams supporting DGX systems, NVIDIA AI Enterprise, and cloud service partnerships. Roles tied to those product lines move through hiring more consistently than exploratory research positions.
Confirm your degree maps to the specialty occupation standard
USCIS requires a direct relationship between your degree field and the role. For AI Architect positions, a degree in computer science, electrical engineering, or a closely related discipline is the safest foundation. A general IT or business degree may require additional documentation.
Negotiate the start date around H-1B cap timing
If you're not already in H-1B status, an October 1 start date is required for cap-subject petitions. Discuss this constraint with your NVIDIA recruiter early so the offer letter and onboarding plan reflect the correct timeline from the start.
Browse AI Architect openings at NVIDIA through Migrate Mate
Filter verified visa-sponsoring openings by role and employer on Migrate Mate to find active AI Architect positions at NVIDIA before applying directly through NVIDIA's career portal.
Prepare for NVIDIA's technical interview structure before discussing visa status
NVIDIA's AI Architect interviews typically include system design rounds focused on inference optimization and deployment architecture. Clear the technical bar first. Visa logistics are handled by a dedicated immigration team after an offer is extended.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for AI Architects?
Yes, NVIDIA sponsors H-1B visas for AI Architect roles. NVIDIA works with immigration counsel to file H-1B petitions for qualifying candidates, including both cap-subject registrations and cap-exempt transfers for candidates already holding H-1B status with another employer. If you're in the H-1B lottery pool, NVIDIA's size and resourcing means the process is well-structured once an offer is made.
How do I apply for AI Architect jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, targeting roles in AI infrastructure, enterprise AI, or cloud solutions architecture. Tailor your resume to reflect GPU-scale system design and deployment experience. You can also browse verified AI Architect openings at NVIDIA on Migrate Mate, which surfaces roles from employers with confirmed sponsorship track records so you're not applying blind on sponsorship eligibility.
Which visa types does NVIDIA commonly use for AI Architect roles?
NVIDIA sponsors H-1B visas for most international AI Architect hires. Australian citizens can pursue the E-3 visa, which bypasses the H-1B lottery entirely and allows year-round applications. For candidates seeking permanent residence, NVIDIA supports EB-2 and EB-3 Green Card sponsorship, typically beginning the PERM labor certification process after an employee has established tenure in the role.
What qualifications does NVIDIA expect for AI Architect roles?
NVIDIA generally expects a bachelor's or master's degree in computer science, electrical engineering, or a related field, combined with hands-on experience designing large-scale AI systems. Practical depth in CUDA, TensorRT, distributed training frameworks like PyTorch or JAX, and deployment on NVIDIA hardware platforms carries significant weight. Candidates who have architected inference pipelines at production scale stand out in NVIDIA's hiring process.
How do I plan the timeline for an AI Architect role at NVIDIA if I need visa sponsorship?
If you need a new H-1B, the cap registration window runs in March for an October 1 start date, so factor roughly six to seven months between offer and day one. E-3 visa applicants typically move faster, with consular processing taking two to four weeks. For candidates transferring an existing H-1B, NVIDIA can file a portability petition and you can start shortly after filing, before USCIS adjudicates.