Technical Architect Jobs at NVIDIA with Visa Sponsorship
NVIDIA Technical Architect roles 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
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 49+ Technical Architect at NVIDIA jobs
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Get Access To All JobsTips for Finding Technical Architect Jobs at NVIDIA Jobs
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.
Technical Architect at NVIDIA jobs are hiring across the US. Find yours.
Find Technical Architect at NVIDIA JobsFrequently 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 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 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.
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