Solutions Architect Jobs at NVIDIA with Visa Sponsorship
NVIDIA's Solutions Architect roles sit at the intersection of deep technical expertise and customer-facing strategy, spanning GPU computing, AI infrastructure, and enterprise software. NVIDIA has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B, E-3, and employment-based Green Card pathways.
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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.
See all 58+ Solutions Architect at NVIDIA jobs
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Get Access To All JobsTips for Finding Solutions Architect Jobs at NVIDIA Jobs
Align your portfolio to NVIDIA's SA specializations
NVIDIA hires Solutions Architects across distinct practice areas: AI and deep learning, data center infrastructure, and partner ecosystems. Frame your project experience around GPU-accelerated workloads or enterprise deployment rather than general pre-sales or architecture work.
Target roles that match your visa category
Australian citizens should filter specifically for E-3-eligible postings, since NVIDIA actively sponsors this category and it bypasses the H-1B lottery entirely. Confirming visa type compatibility before applying saves time on both sides of the hiring process.
Prepare a degree equivalency brief before interviews
NVIDIA's Solutions Architect requisitions typically require a bachelor's in computer science, electrical engineering, or a related technical field. If your degree is in a different discipline, document your relevant coursework and experience in writing before a recruiter raises the specialty occupation question.
Use Migrate Mate to surface active NVIDIA openings
NVIDIA posts Solutions Architect roles across multiple teams and regions, and not all are equally sponsorship-friendly. Browse verified NVIDIA listings filtered by visa type on Migrate Mate to find roles where sponsorship is confirmed before you invest time in the application.
Get your LCA timeline straight before accepting an offer
Your employer must file a Labor Condition Application with the DOL before USCIS can process an H-1B or E-3 petition. LCA certification typically takes seven business days. Factor this into your start date negotiation so your first day isn't contingent on a pending filing.
Ask recruiting about internal transfer options post-hire
NVIDIA frequently moves Solutions Architects between product lines and geographies. If you're already on an employer-sponsored visa at another company, an intracompany context doesn't apply here, but understanding whether your petition is portable under H-1B AC21 after 180 days protects you if your role evolves after filing.
Solutions Architect at NVIDIA jobs are hiring across the US. Find yours.
Find Solutions Architect at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Solutions Architects?
Yes, NVIDIA sponsors H-1B visas for Solutions Architect roles. Solutions Architect positions at NVIDIA typically qualify as specialty occupations under USCIS standards because they require a bachelor's degree or higher in a specific technical field such as computer science or electrical engineering. H-1B sponsorship is available for both new hires and transfers from other H-1B employers.
How do I apply for Solutions Architect jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Search for Solutions Architect roles and filter by region or product area. Before applying, confirm the posting aligns with your visa type. You can also browse NVIDIA's Solutions Architect openings with visa sponsorship confirmed on Migrate Mate, which filters listings specifically for candidates who need employer sponsorship.
Which visa types does NVIDIA sponsor for Solutions Architect roles?
NVIDIA sponsors H-1B visas for Solutions Architects requiring cap-subject or cap-exempt petitions, E-3 visas for Australian citizens, and employment-based Green Card pathways including EB-2 and EB-3. The E-3 is particularly efficient for Australian candidates since it has no lottery and a dedicated annual allocation that has historically gone unfilled.
What qualifications does NVIDIA expect for Solutions Architect candidates needing sponsorship?
NVIDIA's Solutions Architect roles typically require a bachelor's degree in computer science, electrical engineering, or a closely related field, plus hands-on experience with GPU computing, AI frameworks, or enterprise infrastructure. Customer-facing experience and the ability to present technical architectures to senior stakeholders matter as much as technical depth. For visa purposes, the degree must align with the specialty occupation definition USCIS applies to the specific role.
How long does NVIDIA's sponsorship process take for Solutions Architects?
For H-1B transfers or cap-exempt filings, USCIS standard processing runs three to six months, with premium processing available to reduce that to roughly 15 business days. E-3 consular processing for Australian citizens typically takes two to five weeks after the employer certifies the LCA with DOL. PERM-based Green Card sponsorship, which applies to EB-2 and EB-3 pathways, adds a separate multi-year timeline depending on your country of birth and priority date.
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