Technical Solutions Architect Jobs at NVIDIA with Visa Sponsorship
Technical Solutions Architect jobs at NVIDIA sit at the intersection of deep technical expertise and client-facing solution design, typically requiring hands-on experience with GPU computing, AI infrastructure, or enterprise software. NVIDIA has a consistent track record of sponsoring international talent for this function across H-1B visa, E-3 visa, and Green Card pathways.
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Get Access To All JobsINTRODUCTION
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
- Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
- Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
- Effective time management and capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentation, etc.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
- Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
- Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
- Solid working knowledge of Python.
- System-level experience, specifically GPU-based systems.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 18, 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
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
- Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
- Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
- Effective time management and capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentation, etc.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
- Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
- Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
- Solid working knowledge of Python.
- System-level experience, specifically GPU-based systems.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 18, 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 94+ Technical Solutions Architect Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technical Solutions Architect Jobs at NVIDIA.
Get Access To All JobsTips for Finding Technical Solutions Architect Jobs at NVIDIA
Align your portfolio to GPU-driven solutions
NVIDIA's Technical Solutions Architect interviews lean heavily on applied AI and accelerated computing scenarios. Document projects involving CUDA, TensorRT, or large-scale GPU deployments before applying so interviewers can connect your experience directly to their client-facing work.
Target roles under NVIDIA's enterprise verticals
NVIDIA organizes Technical Solutions Architects around industries like healthcare, financial services, and autonomous systems. Applying through a vertical that matches your background increases the likelihood of a sponsorship-ready team with active headcount rather than a general applicant pool.
Confirm E-3 eligibility before accepting an offer
Australian citizens targeting NVIDIA can use the E-3 visa, which bypasses the H-1B lottery entirely and processes at a U.S. consulate in weeks. Raise this with the recruiter during offer negotiation so NVIDIA's immigration counsel prepares the Labor Condition Application before your start date.
Request premium processing on your I-129 early
USCIS offers premium processing for H-1B petitions, returning a decision within 15 business days. Ask your NVIDIA recruiter whether the company elects premium processing by default for Technical Solutions Architects, since specialty occupation roles with niche technical requirements benefit most from the faster adjudication window.
Build a specialty occupation file for your role
USCIS scrutinizes whether a Technical Solutions Architect position genuinely requires a specific bachelor's degree. Gather job postings, professional association standards, and degree program requirements in computer science or electrical engineering to support the specialty occupation determination your employer's attorney will need to make.
Use Migrate Mate to find open sponsorship roles
NVIDIA posts Technical Solutions Architect openings across multiple business units at different times of year. Use Migrate Mate to filter for NVIDIA roles that explicitly support visa sponsorship so you're targeting active headcount rather than positions that have already closed or paused international hiring.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Technical Solutions Architects?
Yes, NVIDIA sponsors H-1B visas for Technical Solutions Architects. The role typically qualifies as a specialty occupation because it requires a bachelor's degree or higher in a field like computer science, electrical engineering, or a related discipline. NVIDIA works with external immigration counsel to prepare the Labor Condition Application through DOL and the I-129 petition through USCIS.
Which visa types does NVIDIA commonly use for Technical Solutions Architect roles?
NVIDIA sponsors H-1B visas for most international hires in this function, and Australian citizens can use the E-3 visa as an alternative that avoids the H-1B lottery entirely. For longer-term pathways, NVIDIA also supports EB-2 and EB-3 Green Card sponsorship, typically initiated after an employee has established a track record in the role.
How do I apply for Technical Solutions Architect jobs at NVIDIA?
Applications go through NVIDIA's careers portal. Filter by job family or keyword to find Technical Solutions Architect openings, then confirm the role lists visa sponsorship in the description. You can also use Migrate Mate to browse NVIDIA's sponsored roles in one place and track new postings as they open across the company's enterprise, AI, and cloud business units.
What qualifications does NVIDIA expect for Technical Solutions Architect candidates?
NVIDIA typically expects a bachelor's degree in computer science, electrical engineering, or a closely related field, combined with hands-on experience deploying or optimizing GPU-accelerated workloads. Roles focused on enterprise clients often require prior experience in a customer-facing technical capacity, such as solutions engineering, pre-sales architecture, or consulting. Familiarity with frameworks like CUDA, TensorRT, or NVIDIA's AI Enterprise stack strengthens a candidacy meaningfully.
How do I think about timing when targeting an H-1B sponsorship at NVIDIA?
The H-1B cap lottery opens in March for an October 1 start date, so roles that require new H-1B filings need to be secured before late February. NVIDIA can file cap-exempt H-1B petitions for candidates already holding H-1B status with another employer, which removes the lottery dependency. E-3 holders and TN visa workers can also transfer status without a lottery window, giving those candidates more scheduling flexibility throughout the year.