Architect Jobs at NVIDIA with Visa Sponsorship
Architect jobs at NVIDIA sit at the intersection of hardware, software, and systems design, requiring deep technical specialization that aligns well with visa sponsorship pathways. NVIDIA has a consistent track record of sponsoring international talent across H-1B visa, E-3 visa, and Green Card categories for this function.
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Get Access To All JobsINTRODUCTION
We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to develop Energy specific applications and platforms that demonstrate NVIDIA technology that will be adopted across all segments of the Energy sector including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy sector and are broadly used across leading energy companies and start-ups. Our success has been based on vertical focus industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs.
We need a hardworking, and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, Deep Learning, and Generative AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the energy domain. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role, and will give you experience with a range of partners and concerns.
ROLE AND RESPONSIBILITIES:
- Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
- Document what you know and guide others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
- Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge.
- Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
BASIC QUALIFICATIONS:
- MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
- 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
- Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes.
- Experience with modern Deep Learning software architecture and frameworks.
- Strong written and oral communication skills with the ability to optimally collaborate with management and engineering.
- Background in the energy industry or engaging with clients/partners involved in the energy field.
- Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.
PREFERRED QUALIFICATIONS:
- CUDA programming and optimization experience.
- Experience using data science in the energy industry.
- Experience using GPGPU programming and design practices.
- Background with network software development.
- AI Exposure: Deep Neural Network or Machine Learning R&D with energy data.
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 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 June 12, 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 looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to develop Energy specific applications and platforms that demonstrate NVIDIA technology that will be adopted across all segments of the Energy sector including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy sector and are broadly used across leading energy companies and start-ups. Our success has been based on vertical focus industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs.
We need a hardworking, and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, Deep Learning, and Generative AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the energy domain. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role, and will give you experience with a range of partners and concerns.
ROLE AND RESPONSIBILITIES:
- Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
- Document what you know and guide others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
- Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge.
- Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
BASIC QUALIFICATIONS:
- MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
- 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
- Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes.
- Experience with modern Deep Learning software architecture and frameworks.
- Strong written and oral communication skills with the ability to optimally collaborate with management and engineering.
- Background in the energy industry or engaging with clients/partners involved in the energy field.
- Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.
PREFERRED QUALIFICATIONS:
- CUDA programming and optimization experience.
- Experience using data science in the energy industry.
- Experience using GPGPU programming and design practices.
- Background with network software development.
- AI Exposure: Deep Neural Network or Machine Learning R&D with energy data.
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 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 June 12, 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 107+ Architect Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Architect Jobs at NVIDIA.
Get Access To All JobsTips for Finding Architect Jobs at NVIDIA
Align your portfolio to NVIDIA's architecture domains
NVIDIA hires Architects across GPU microarchitecture, data center systems, and AI infrastructure. Tailor your portfolio and resume to one of these tracks before applying. A generalist architecture background is harder to position than a focused specialization that maps to an active NVIDIA product line.
Verify your degree supports specialty occupation classification
USCIS requires that H-1B specialty occupation roles have a direct link between the job duties and a specific bachelor's degree field. For Architect roles, degrees in computer engineering, electrical engineering, or computer science have the strongest alignment. A general STEM degree without relevant coursework can complicate the petition.
Target teams with active LCA filings in your specialization
NVIDIA's DOL Labor Condition Application filings are public record and identify the specific job titles and work locations covered. Search OFLC disclosure data to confirm which Architect roles NVIDIA has filed for recently, then prioritize those teams in your outreach and applications.
Use Migrate Mate to filter NVIDIA Architect openings by visa type
Not every NVIDIA job posting will explicitly state sponsorship availability. Migrate Mate filters NVIDIA's Architect openings by the visa categories the company sponsors, saving you from applying to roles where your visa situation won't be supported through the offer stage.
Prepare for a multi-round technical process before offer discussions
NVIDIA's Architect interview process typically spans system design, architecture trade-off analysis, and domain-specific deep dives across several rounds. Sponsorship conversations happen at offer stage, so your technical preparation needs to come first. Arriving at that stage unprepared on visa timing creates unnecessary pressure for both sides.
Understand the PERM timeline if a Green Card path matters to you
NVIDIA sponsors EB-2 and EB-3 Green Cards for Architect roles, but PERM labor certification alone can take 12 to 18 months before an I-140 is filed. If your H-1B clock is running, raise Green Card sponsorship explicitly during offer negotiation rather than assuming it will be offered automatically.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Architects?
Yes, NVIDIA sponsors H-1B visas for Architect roles. The company files H-1B petitions through the standard USCIS cap process as well as for cap-exempt transfers when applicable. Architect positions at NVIDIA typically qualify as specialty occupations given the degree requirements tied to computer engineering, electrical engineering, or a directly related technical field.
How do I apply for Architect jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where you can filter by job family and location. For international candidates, Migrate Mate surfaces NVIDIA's Architect openings filtered by visa sponsorship type, which helps you prioritize roles where your specific visa category is supported before you invest time in the application process.
Which visa types does NVIDIA commonly sponsor for Architect roles?
NVIDIA sponsors H-1B, E-3, and Green Card categories including EB-2 and EB-3 for Architect positions. Australian citizens benefit from the E-3 pathway, which has no lottery and allows two-year renewable status. H-1B candidates need to account for the annual lottery if they don't already hold H-1B status or cap-exempt employment.
What qualifications does NVIDIA expect for Architect roles?
NVIDIA's Architect roles generally require a bachelor's or master's degree in computer engineering, electrical engineering, or computer science, combined with hands-on experience in a relevant domain such as GPU architecture, systems design, or AI infrastructure. Roles at more senior levels typically expect demonstrated ownership of architecture decisions on shipped hardware or software products.
How do I time my application given H-1B cap deadlines?
USCIS accepts H-1B cap registrations each March for an October 1 start date. If you're targeting a full-time Architect role at NVIDIA and need cap sponsorship, the offer needs to be in place by late February to allow registration. Offers made after the registration window close mean a 12-month wait for the next cap cycle unless you qualify for a cap-exempt transfer.