Technical Architect Jobs at NVIDIA with Visa Sponsorship
Technical Architect jobs at NVIDIA sit at the intersection of deep systems knowledge and customer-facing solution design, typically spanning GPU computing, data center architecture, and AI infrastructure. NVIDIA has a consistent track record of sponsoring work visas for this function, supporting candidates through both nonimmigrant and immigrant 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 Architect Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technical Architect Jobs at NVIDIA.
Get Access To All JobsTips for Finding Technical Architect Jobs at NVIDIA
Frame Your Architecture Experience Around NVIDIA's Stack
NVIDIA Technical Architect roles require demonstrable expertise in GPU computing, CUDA, or AI infrastructure, not just general enterprise architecture. Tailor your resume and portfolio to show hands-on work with NVIDIA products before you apply.
Target Teams With Active Infrastructure Buildouts
NVIDIA Technical Architect openings cluster around data center, cloud partnerships, and AI solutions teams. Prioritizing roles tied to these divisions improves your odds of landing a team with established visa sponsorship workflows and faster internal approval cycles.
Clarify Sponsorship Scope Before Accepting an Offer
NVIDIA sponsors H-1B, E-3, and Green Card pathways for Technical Architects, but coverage details vary by business unit and headcount approval stage. Confirm in writing which visa types your specific offer covers before you resign from a current role.
Understand How NVIDIA's LCA Filing Affects Your Timeline
Your employer must file and receive a certified Labor Condition Application from the DOL before USCIS can process your H-1B or E-3 petition. LCA certification typically takes seven business days, but plan for longer if your worksite location changes post-offer.
Use Migrate Mate to Surface Open Technical Architect Roles
NVIDIA posts Technical Architect positions across multiple teams simultaneously, making it easy to miss sponsorship-eligible listings. Use Migrate Mate to filter and track NVIDIA openings specifically tagged for H-1B and E-3 sponsorship in one place.
Prepare Specialty Occupation Documentation Early for Technical Architect Filings
USCIS scrutinizes whether Technical Architect qualifies as a specialty occupation if the job description includes broad responsibilities. Gather degree transcripts, a detailed offer letter, and any published role-specific education requirements before your employer engages immigration counsel.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Technical Architects?
Yes, NVIDIA sponsors H-1B visas for Technical Architect roles. NVIDIA participates in the annual H-1B lottery each April for cap-subject petitions and also files cap-exempt petitions where eligible. Because Technical Architect is classified as a specialty occupation requiring a relevant bachelor's degree or higher, it typically meets USCIS eligibility standards for H-1B visa sponsorship without unusual complications.
How do I apply for Technical Architect jobs at NVIDIA?
Apply directly through NVIDIA's careers portal, where Technical Architect roles are posted by product area, including data center, AI, and cloud partnerships. You can also browse sponsorship-filtered listings on Migrate Mate to identify which open roles are actively tagged for visa sponsorship. Tailor your application to show familiarity with NVIDIA's GPU ecosystem and solution-selling environment, as hiring managers screen for both technical depth and customer-facing communication skills.
Which visa types does NVIDIA commonly use for Technical Architect roles?
NVIDIA sponsors H-1B visas for the broadest pool of international candidates and E-3 visas for Australian citizens in Technical Architect roles. For longer-term immigration, NVIDIA also supports EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process. Australian candidates especially benefit from the E-3 visa pathway, which has no lottery and allows year-round filing directly at a U.S. consulate.
What qualifications does NVIDIA expect for Technical Architect candidates?
NVIDIA's Technical Architect roles typically require a bachelor's degree in computer science, electrical engineering, or a closely related field, along with several years of experience in solution architecture, pre-sales engineering, or systems design. Hands-on experience with GPU computing, deep learning frameworks, or large-scale data center deployments significantly strengthens a candidacy. Some senior openings expect prior experience in a customer-facing or consulting capacity within enterprise technology environments.
How do I think about timing if I need visa sponsorship for a Technical Architect role at NVIDIA?
If you're targeting H-1B sponsorship, NVIDIA must register you in the USCIS lottery by mid-March for an October 1 start date. E-3 candidates have more flexibility, as petitions can be filed at any time with consular processing taking roughly two to four weeks. If you're currently on OPT or a grace period, confirm that NVIDIA's internal approval and DOL LCA certification can complete within your remaining authorized period before accepting an offer.