Technical Solutions Architect Jobs at NVIDIA with Visa Sponsorship
Technical Solutions Architect roles 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, E-3, and Green Card pathways.
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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.

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 43+ Technical Solutions Architect at NVIDIA jobs
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Get Access To All JobsTips for Finding Technical Solutions Architect Jobs at NVIDIA Jobs
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.
Technical Solutions Architect at NVIDIA jobs are hiring across the US. Find yours.
Find Technical Solutions Architect at NVIDIA JobsFrequently 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 workers can also transfer status without a lottery window, giving those candidates more scheduling flexibility throughout the year.
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