Architect Jobs at NVIDIA with Visa Sponsorship
Architect roles 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, E-3, and Green Card categories for this function.
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Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for a Senior Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide. The cloud hosts various machines and devices with operating systems like Windows, Linux, and Android. It supports hardware platforms including NVIDIA GPUs and Tegra Processors. It delivers unified CI/CD solutions and cloud-based software development. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Serve as a Solutions Architect part of GPU Private Cloud team used by thousands of NVIDIANs globally for interactive development, centralized CI / CD and QA testing, with an opportunity to positively impact all of the SW development teams across NVIDIA.
- Evaluating, identifying and developing software solutions to optimize critical software development workflows across various organizations within Nvidia.
- Architecting, Implementing & supporting end-to-end CI/CD system using open-source and Nvidia proprietary software.
- Customer (NVIDIA Internal development teams) onboarding to Private cloud infrastructure with a good discovery of the use case and available solutions within the cloud.
- Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems.
- Leading software development projects and technically direct a team of brilliant engineers and guide them to provide efficient and impactful solutions.
- Looking for problems within software systems and resolving the issues.
- Craft and implement critical metrics using various analytics methods and dashboards.
BASIC QUALIFICATIONS
What we need to see:
- BS EE/CS or equivalent experience with 12+ years of systems software development including at least 1 year dedicated to developing/exploring AI.
- Experience of maintaining cloud infrastructure and highly available production environment.
- Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs.
- Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch.
- Excellent knowledge and working experience with Docker containers and Virtual Machines.
- Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka.
- Ability to work across organizational boundaries effectively to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Depth in AI, Machine Learning and Deep Learning algorithms and techniques.
- Strong collaborative and interpersonal skills, a consistent record of guiding, evangelizing and influencing senior leaders across a large company in dynamic environments, without formal authority.
- Experience developing large-scale software systems using modular architecture under real-time performance requirements.
- Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family.
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 for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 28, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for a Senior Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide. The cloud hosts various machines and devices with operating systems like Windows, Linux, and Android. It supports hardware platforms including NVIDIA GPUs and Tegra Processors. It delivers unified CI/CD solutions and cloud-based software development. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Serve as a Solutions Architect part of GPU Private Cloud team used by thousands of NVIDIANs globally for interactive development, centralized CI / CD and QA testing, with an opportunity to positively impact all of the SW development teams across NVIDIA.
- Evaluating, identifying and developing software solutions to optimize critical software development workflows across various organizations within Nvidia.
- Architecting, Implementing & supporting end-to-end CI/CD system using open-source and Nvidia proprietary software.
- Customer (NVIDIA Internal development teams) onboarding to Private cloud infrastructure with a good discovery of the use case and available solutions within the cloud.
- Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems.
- Leading software development projects and technically direct a team of brilliant engineers and guide them to provide efficient and impactful solutions.
- Looking for problems within software systems and resolving the issues.
- Craft and implement critical metrics using various analytics methods and dashboards.
BASIC QUALIFICATIONS
What we need to see:
- BS EE/CS or equivalent experience with 12+ years of systems software development including at least 1 year dedicated to developing/exploring AI.
- Experience of maintaining cloud infrastructure and highly available production environment.
- Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs.
- Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch.
- Excellent knowledge and working experience with Docker containers and Virtual Machines.
- Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka.
- Ability to work across organizational boundaries effectively to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Depth in AI, Machine Learning and Deep Learning algorithms and techniques.
- Strong collaborative and interpersonal skills, a consistent record of guiding, evangelizing and influencing senior leaders across a large company in dynamic environments, without formal authority.
- Experience developing large-scale software systems using modular architecture under real-time performance requirements.
- Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family.
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 for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 28, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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Get Access To All JobsTips for Finding Architect Jobs at NVIDIA Jobs
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.
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Find Architect at NVIDIA JobsFrequently 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.
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