Senior Solution Architect Jobs at NVIDIA with Visa Sponsorship
Senior Solution Architect roles at NVIDIA sit at the intersection of deep technical expertise and customer-facing consulting, requiring you to translate complex AI and accelerated computing solutions into real-world deployments. NVIDIA has a strong track record of sponsoring international talent across both nonimmigrant and immigrant visa 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.
See all 40+ Senior Solution Architect at NVIDIA jobs
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Get Access To All JobsTips for Finding Senior Solution Architect Jobs at NVIDIA Jobs
Frame your portfolio around deployed AI infrastructure
NVIDIA's solution architects are evaluated on hands-on experience with GPU-accelerated workloads, not just familiarity. Document specific deployments involving CUDA, TensorRT, or NVIDIA AI Enterprise before you apply, so your resume reflects the technical depth their teams prioritize.
Target NVIDIA's partner ecosystem for referral pathways
NVIDIA recruits Senior Solution Architects heavily through its certified partner network, including system integrators and cloud providers. Building relationships inside those organizations before applying directly can accelerate your path through hiring stages that otherwise filter on internal referrals.
Align your credentials to specialty occupation standards early
H-1B eligibility for solution architect roles depends on demonstrating that the position requires a specifically related bachelor's degree or higher. Gather transcripts, degree equivalency evaluations, and role-specific job descriptions before your employer starts the USCIS petition to avoid delays.
Clarify E-3 eligibility before accepting an offer
If you hold Australian citizenship, the E-3 visa is a faster path than H-1B and avoids the lottery entirely. Confirm with your NVIDIA recruiter that the role's Labor Condition Application can be filed under E-3 so your start date isn't contingent on cap-subject H-1B timing.
Use Migrate Mate to filter open roles by sponsorship type
NVIDIA posts Senior Solution Architect openings across multiple business units with varying sponsorship eligibility. Search Migrate Mate to filter active NVIDIA listings by the visa categories you qualify for, so you're applying to roles where sponsorship is already confirmed rather than assumed.
Start PERM groundwork during your nonimmigrant status
NVIDIA regularly supports EB-2 and EB-3 Green Card sponsorship for solution architects in long-term roles. Ask your hiring manager during offer negotiation whether the position is structured for permanent residency sponsorship, and confirm the expected timeline before the DOL's PERM audit clock becomes a constraint.
Senior Solution Architect at NVIDIA jobs are hiring across the US. Find yours.
Find Senior Solution Architect at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Solution Architects?
Yes, NVIDIA sponsors H-1B visas for Senior Solution Architect roles. Because the H-1B is cap-subject, your start date depends on the annual lottery window, which typically opens in March for an October 1 start. NVIDIA's size and established immigration infrastructure mean they have experience managing this timeline, but you should align offer negotiations around the cap cycle early.
Which visa types are commonly used for Senior Solution Architect roles at NVIDIA?
NVIDIA sponsors H-1B, E-3, and Green Card categories including EB-2 and EB-3 for this role. Australian citizens qualify for the E-3, which has no lottery and allows two-year renewable periods. H-1B covers most other nationalities. For long-term roles, NVIDIA has a track record of supporting PERM-based Green Card sponsorship once you're established in the position.
What qualifications and experience does NVIDIA expect for Senior Solution Architect candidates?
NVIDIA typically expects a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, paired with hands-on experience deploying AI or accelerated computing solutions in enterprise environments. Proficiency with NVIDIA's software stack, including CUDA or NVIDIA AI Enterprise, and demonstrated ability to lead technical customer engagements are consistent requirements across Senior Solution Architect postings.
How do I apply for Senior Solution Architect jobs at NVIDIA?
You can browse and apply through NVIDIA's careers portal directly, or use Migrate Mate to filter NVIDIA's Senior Solution Architect openings by the visa categories you're eligible for, so you're targeting roles where sponsorship aligns with your status. Tailoring your application to show GPU-accelerated deployment experience and enterprise consulting background improves your chances of passing NVIDIA's initial screening.
How do I plan my timeline if I need visa sponsorship to start at NVIDIA?
If you're relying on an H-1B, petitions are filed in April with a cap-subject start date of October 1, so plan your offer and notice period around that window. E-3 applicants can typically move faster, often completing consular processing within four to eight weeks of receiving a certified Labor Condition Application from USCIS. Start conversations with your NVIDIA recruiter about visa type and intended start date before signing an offer.
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