Green Card Product Architect Jobs
Product Architect roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, systems engineering, or a related field, and for EB-3 when a bachelor's degree suffices. Employers run PERM labor certification through DOL before filing I-140, making sponsorship a structured but navigable path to permanent residency.
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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 phenomenal 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.
ROLE AND RESPONSIBILITIES
As an AI Storage Platform Architect at NVIDIA, this position will be the linchpin between cutting-edge hardware platforms and real-world AI deployments - translating the capabilities of Rubin GPUs, Vera CPUs, BlueField DPUs, NVLink fabric, and Spectrum-X networking into validated, production-ready blueprints. Work hand-in-hand with storage ecosystem partners to co-develop reference architectures for the NVIDIA AI Data Platform and beyond, ensuring that every layer of the stack - compute, fabric, memory, and storage - is optimized for modern AI workloads!
What you’ll be doing:
- Architect end-to-end reference architectures for disaggregated inference (aligned with NVIDIA Dynamo), large-scale foundation model training, and agentic AI pipelines — co-developed with storage and ecosystem partners.
- Design and validate storage-optimized AI infrastructure, including KV Cache tiering strategies, checkpoint acceleration, and high-throughput dataset pipelines that leverage RDMA and NVMeoF fabrics.
- Define system-level architectures spanning Rubin graphics processors, Vera central processing units, BlueField data processing units, NVLink interconnects, and Spectrum-X Ethernet to improve efficiency across the full AI lifecycle.
- Develop and publish reference architectures, whitepapers, and deployment guides for the NVIDIA AI Data Platform and partner-integrated solutions.
- Drive prototyping, benchmarking, and performance validation of AI infrastructure at scale - diagnosing bottlenecks across compute, networking, and storage layers.
- Leverage DOCA to architect DPU-offloaded data services including storage acceleration, telemetry, security enforcement, and network virtualization.
- Collaborate with RAG and autonomous AI teams to build retrieval-optimized storage architectures, including vector database integration, low-latency object access patterns, and inference-aware caching.
- Partner with customers and collaborators in the ecosystem to co-innovate, deliver proof-of-concepts (POCs) and MVPs that demonstrate end-to-end AI platform performance leadership.
BASIC QUALIFICATIONS
What we need to see:
- 12+ years of experience architecting datacenter-scale AI, HPC, or storage infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent.
- Bachelors in Computer Science or related field (or equivalent experience).
- Deep expertise in AI infrastructure build, including disaggregated inference architectures, LLM training pipelines, and autonomous AI system patterns.
- Hands-on experience with RDMA (RoCEv2/InfiniBand), high-performance storage protocols (NVMeoF, GPFS, Lustre, or S3-compatible object storage), and low-latency fabric design.
- Strong understanding of KV Cache management strategies, including tiered memory/storage hierarchies for inference optimization.
- Familiarity with Retrieval-Augmented Generation (RAG) architectures and the storage, indexing, and retrieval patterns they demand at scale.
- Experience with NVIDIA DOCA or equivalent DPU/SmartNIC programming frameworks for offloading data plane and storage services.
- Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fabrics, congestion control, and datacenter topologies.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Proven experience designing reference architectures jointly with storage or infrastructure OEM partners (e.g., NetApp, DDN, VAST, Pure Storage, Dell or similar).
- Hands-on deployment experience with disaggregated inference systems, including prefill/decode separation, KV Cache offload, and request routing.
- Deep familiarity with NVIDIA Grace-Hopper, Grace-Blackwell, or upcoming Vera-Rubin platforms and their system-level implications for AI workloads.
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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 17, 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 phenomenal 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.
ROLE AND RESPONSIBILITIES
As an AI Storage Platform Architect at NVIDIA, this position will be the linchpin between cutting-edge hardware platforms and real-world AI deployments - translating the capabilities of Rubin GPUs, Vera CPUs, BlueField DPUs, NVLink fabric, and Spectrum-X networking into validated, production-ready blueprints. Work hand-in-hand with storage ecosystem partners to co-develop reference architectures for the NVIDIA AI Data Platform and beyond, ensuring that every layer of the stack - compute, fabric, memory, and storage - is optimized for modern AI workloads!
What you’ll be doing:
- Architect end-to-end reference architectures for disaggregated inference (aligned with NVIDIA Dynamo), large-scale foundation model training, and agentic AI pipelines — co-developed with storage and ecosystem partners.
- Design and validate storage-optimized AI infrastructure, including KV Cache tiering strategies, checkpoint acceleration, and high-throughput dataset pipelines that leverage RDMA and NVMeoF fabrics.
- Define system-level architectures spanning Rubin graphics processors, Vera central processing units, BlueField data processing units, NVLink interconnects, and Spectrum-X Ethernet to improve efficiency across the full AI lifecycle.
- Develop and publish reference architectures, whitepapers, and deployment guides for the NVIDIA AI Data Platform and partner-integrated solutions.
- Drive prototyping, benchmarking, and performance validation of AI infrastructure at scale - diagnosing bottlenecks across compute, networking, and storage layers.
- Leverage DOCA to architect DPU-offloaded data services including storage acceleration, telemetry, security enforcement, and network virtualization.
- Collaborate with RAG and autonomous AI teams to build retrieval-optimized storage architectures, including vector database integration, low-latency object access patterns, and inference-aware caching.
- Partner with customers and collaborators in the ecosystem to co-innovate, deliver proof-of-concepts (POCs) and MVPs that demonstrate end-to-end AI platform performance leadership.
BASIC QUALIFICATIONS
What we need to see:
- 12+ years of experience architecting datacenter-scale AI, HPC, or storage infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent.
- Bachelors in Computer Science or related field (or equivalent experience).
- Deep expertise in AI infrastructure build, including disaggregated inference architectures, LLM training pipelines, and autonomous AI system patterns.
- Hands-on experience with RDMA (RoCEv2/InfiniBand), high-performance storage protocols (NVMeoF, GPFS, Lustre, or S3-compatible object storage), and low-latency fabric design.
- Strong understanding of KV Cache management strategies, including tiered memory/storage hierarchies for inference optimization.
- Familiarity with Retrieval-Augmented Generation (RAG) architectures and the storage, indexing, and retrieval patterns they demand at scale.
- Experience with NVIDIA DOCA or equivalent DPU/SmartNIC programming frameworks for offloading data plane and storage services.
- Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fabrics, congestion control, and datacenter topologies.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Proven experience designing reference architectures jointly with storage or infrastructure OEM partners (e.g., NetApp, DDN, VAST, Pure Storage, Dell or similar).
- Hands-on deployment experience with disaggregated inference systems, including prefill/decode separation, KV Cache offload, and request routing.
- Deep familiarity with NVIDIA Grace-Hopper, Grace-Blackwell, or upcoming Vera-Rubin platforms and their system-level implications for AI workloads.
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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 17, 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.
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Get Access To All JobsTips for Finding Green Card Sponsorship in Product Architect
Document your architecture decisions formally
PERM requires proving your role is a specialty occupation. Build a portfolio of technical design documents, architecture review records, and stakeholder sign-offs that clearly show a bachelor's degree or higher in a specific field is the standard entry requirement for your position.
Target employers with PERM filing history
Search the DOL's OFLC wage disclosure data for Product Architect or Solutions Architect LCA filings. Employers who have completed PERM for similar roles already have internal processes and legal counsel in place, which shortens your path through labor certification significantly.
Verify your prevailing wage tier before negotiating
Use the OFLC Wage Search to identify the wage level your employer will certify under. A Level III or IV wage designation signals a senior role, which strengthens specialty occupation arguments and reduces the risk of a DOL audit during the PERM recruitment phase.
Find sponsoring Product Architect roles on Migrate Mate
Use Migrate Mate to filter Product Architect openings by employers with active green card sponsorship history. This cuts out the guesswork of cold applications and puts you in front of companies already set up to run PERM and I-140 filings for this role type.
Negotiate priority date protection into your offer
Ask your employer to file I-140 as early as possible and request premium processing if available. Your priority date locks in your place in the EB-2 or EB-3 queue, and an approved I-140 lets you retain that date even if you change employers under AC21 portability rules.
Clarify the EB-2 versus EB-3 classification upfront
Product Architect roles often sit at the boundary between EB-2 and EB-3 depending on how the employer defines minimum requirements. Confirm with your employer's counsel which category they plan to file under before PERM begins, since reclassifying later restarts the labor certification process.
Green Card Product Architect: Frequently Asked Questions
Does a Product Architect role qualify for EB-2 or EB-3 green card sponsorship?
Product Architect roles can qualify under either category. EB-2 applies when the position requires an advanced degree or the equivalent, such as a bachelor's plus five years of progressive experience in systems architecture or software engineering. EB-3 covers roles where a bachelor's degree alone meets the minimum requirement. Your employer's attorney determines the classification during PERM, so the job description's stated minimum education level is the deciding factor, not your personal credentials.
How is green card sponsorship different from H-1B for a Product Architect?
H-1B visa is a temporary, employer-tied status with an annual lottery cap that creates real uncertainty each cycle. EB-2 and EB-3 green card sponsorship through PERM leads to permanent residency with no cap lottery at the petition level, though per-country annual limits can create wait times for applicants from India or China. The PERM process is also longer upfront, typically 12 to 24 months from labor certification to I-485 filing, but the result is permanent authorization rather than a status you need to renew or re-win.
What does the PERM labor certification process involve for this role?
Your employer files a PERM application with DOL after running a prescribed recruitment campaign to demonstrate no qualified U.S. workers are available for the Product Architect position. DOL reviews the application and, if certified, the employer files I-140 with USCIS. The recruitment ads must list the actual minimum requirements for the role, so inflating qualifications to fit your profile after the fact is not permitted and can invalidate the certification.
How do I find Product Architect jobs that include green card sponsorship?
Most job postings don't advertise PERM sponsorship explicitly, which makes targeting employers with a documented filing history far more effective than reading job descriptions. Migrate Mate filters Product Architect openings by employers with active green card sponsorship history, so you can focus your applications on companies already equipped to run PERM and I-140 for this role type rather than discovering late in the process that sponsorship isn't available.
Can I switch employers after my I-140 is approved without losing my green card progress?
Yes, under AC21 portability rules, an approved I-140 lets you move to a new employer in a same or similar occupational classification without losing your priority date, provided your I-485 has been pending for at least 180 days. For Product Architects, the key is that your new role must be comparable in duties and requirements. USCIS reviews portability claims when your adjustment of status application is adjudicated, so keeping documentation of your new role's responsibilities is important.