Architect Jobs at NVIDIA with Visa Sponsorship
Architect jobs at NVIDIA sit at the intersection of hardware, software, and systems design, requiring deep technical specialization that aligns well with visa sponsorship pathways. NVIDIA has a consistent track record of sponsoring international talent across H-1B visa, E-3 visa, and Green Card categories for this function.
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Get Access To All JobsINTRODUCTION
We are now looking for a Senior AI Training Performance Architect.
NVIDIA is seeking a senior engineer who is obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, the workload driving the design and construction of the largest and most powerful compute systems in the world. If you are willing to work across all layers of the hardware/software stack - from GPU architecture to the application code - to achieve peak performance, we want to hear from you. This role offers the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution. Join us and help design and build the world's most powerful compute systems!
ROLE AND RESPONSIBILITIES
What you will be doing:
- Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
- Identifying performance bottlenecks of AI training on GPUs, prioritizing and then solving problems across the key AI training workloads.
- Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
- Build and support NVIDIA submissions for MLPerf Training benchmarks.
- Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
- Develop tools to automate workload analysis, optimization, and other critical workflows.
BASIC QUALIFICATIONS
What we want to see:
- PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience.
- Strong background in deep learning and neural networks, particularly in training.
- Solid understanding of computer architecture and familiarity with GPU architecture fundamentals.
- Proven background in analyzing and tuning application performance.
- Proven experience with processor and system-level performance modeling.
- Proficiency in programming with C++, Python, and CUDA.
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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 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
We are now looking for a Senior AI Training Performance Architect.
NVIDIA is seeking a senior engineer who is obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, the workload driving the design and construction of the largest and most powerful compute systems in the world. If you are willing to work across all layers of the hardware/software stack - from GPU architecture to the application code - to achieve peak performance, we want to hear from you. This role offers the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution. Join us and help design and build the world's most powerful compute systems!
ROLE AND RESPONSIBILITIES
What you will be doing:
- Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
- Identifying performance bottlenecks of AI training on GPUs, prioritizing and then solving problems across the key AI training workloads.
- Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
- Build and support NVIDIA submissions for MLPerf Training benchmarks.
- Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
- Develop tools to automate workload analysis, optimization, and other critical workflows.
BASIC QUALIFICATIONS
What we want to see:
- PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience.
- Strong background in deep learning and neural networks, particularly in training.
- Solid understanding of computer architecture and familiarity with GPU architecture fundamentals.
- Proven background in analyzing and tuning application performance.
- Proven experience with processor and system-level performance modeling.
- Proficiency in programming with C++, Python, and CUDA.
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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 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 213+ Architect Jobs at NVIDIA
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Get Access To All JobsTips for Finding Architect Jobs at NVIDIA
Align your portfolio to NVIDIA's architecture domains
NVIDIA hires Architects across GPU microarchitecture, data center systems, and AI infrastructure. Tailor your portfolio and resume to one of these tracks before applying. A generalist architecture background is harder to position than a focused specialization that maps to an active NVIDIA product line.
Verify your degree supports specialty occupation classification
USCIS requires that H-1B specialty occupation roles have a direct link between the job duties and a specific bachelor's degree field. For Architect roles, degrees in computer engineering, electrical engineering, or computer science have the strongest alignment. A general STEM degree without relevant coursework can complicate the petition.
Target teams with active LCA filings in your specialization
NVIDIA's DOL Labor Condition Application filings are public record and identify the specific job titles and work locations covered. Search OFLC disclosure data to confirm which Architect roles NVIDIA has filed for recently, then prioritize those teams in your outreach and applications.
Use Migrate Mate to filter NVIDIA Architect openings by visa type
Not every NVIDIA job posting will explicitly state sponsorship availability. Migrate Mate filters NVIDIA's Architect openings by the visa categories the company sponsors, saving you from applying to roles where your visa situation won't be supported through the offer stage.
Prepare for a multi-round technical process before offer discussions
NVIDIA's Architect interview process typically spans system design, architecture trade-off analysis, and domain-specific deep dives across several rounds. Sponsorship conversations happen at offer stage, so your technical preparation needs to come first. Arriving at that stage unprepared on visa timing creates unnecessary pressure for both sides.
Understand the PERM timeline if a Green Card path matters to you
NVIDIA sponsors EB-2 and EB-3 Green Cards for Architect roles, but PERM labor certification alone can take 12 to 18 months before an I-140 is filed. If your H-1B clock is running, raise Green Card sponsorship explicitly during offer negotiation rather than assuming it will be offered automatically.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Architects?
Yes, NVIDIA sponsors H-1B visas for Architect roles. The company files H-1B petitions through the standard USCIS cap process as well as for cap-exempt transfers when applicable. Architect positions at NVIDIA typically qualify as specialty occupations given the degree requirements tied to computer engineering, electrical engineering, or a directly related technical field.
How do I apply for Architect jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where you can filter by job family and location. For international candidates, Migrate Mate surfaces NVIDIA's Architect openings filtered by visa sponsorship type, which helps you prioritize roles where your specific visa category is supported before you invest time in the application process.
Which visa types does NVIDIA commonly sponsor for Architect roles?
NVIDIA sponsors H-1B, E-3, and Green Card categories including EB-2 and EB-3 for Architect positions. Australian citizens benefit from the E-3 pathway, which has no lottery and allows two-year renewable status. H-1B candidates need to account for the annual lottery if they don't already hold H-1B status or cap-exempt employment.
What qualifications does NVIDIA expect for Architect roles?
NVIDIA's Architect roles generally require a bachelor's or master's degree in computer engineering, electrical engineering, or computer science, combined with hands-on experience in a relevant domain such as GPU architecture, systems design, or AI infrastructure. Roles at more senior levels typically expect demonstrated ownership of architecture decisions on shipped hardware or software products.
How do I time my application given H-1B cap deadlines?
USCIS accepts H-1B cap registrations each March for an October 1 start date. If you're targeting a full-time Architect role at NVIDIA and need cap sponsorship, the offer needs to be in place by late February to allow registration. Offers made after the registration window close mean a 12-month wait for the next cap cycle unless you qualify for a cap-exempt transfer.