E-3 Visa Solutions Architect Jobs
Solutions Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher. The E-3 has no lottery and no annual cap, so you can target U.S. employers year-round. Australian professionals with enterprise architecture, cloud, or pre-sales experience are actively recruited by U.S. technology and consulting firms.
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Get Access To All JobsNVIDIA is currently seeking a Solutions Architect for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence; join our team today!
What you will be doing:
- In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications.
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures.
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
- Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line.
What we need to see:
- Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
- 8+ years of experience.
- Programming fluency in C/C++ with a deep understanding of algorithms and software design.
- Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc.
- In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
- Domain expertise in high performance databases, ETL, data analytics and/or vector database.
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Ways to stand out from the crowd:
- Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark).
- Background with optimizing vector database index build and/or search.
- Experience profiling and optimizing CUDA kernels.
- Background with compression, storage systems, networking, and distributed computer architectures.
Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today’s applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that NVIDIA employees have worked on: RAPIDS cuDF, NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cuCollections.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you.
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 September 12, 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.
NVIDIA is currently seeking a Solutions Architect for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence; join our team today!
What you will be doing:
- In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications.
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures.
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
- Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line.
What we need to see:
- Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
- 8+ years of experience.
- Programming fluency in C/C++ with a deep understanding of algorithms and software design.
- Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc.
- In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
- Domain expertise in high performance databases, ETL, data analytics and/or vector database.
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Ways to stand out from the crowd:
- Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark).
- Background with optimizing vector database index build and/or search.
- Experience profiling and optimizing CUDA kernels.
- Background with compression, storage systems, networking, and distributed computer architectures.
Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today’s applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that NVIDIA employees have worked on: RAPIDS cuDF, NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cuCollections.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you.
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 September 12, 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.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Solutions Architect
Frame your credentials for U.S. specialty occupation
Your Australian three-year bachelor's degree in computer science, IT, or engineering meets the E-3 visa specialty occupation standard. Get a credential evaluation from a NACES-approved evaluator before your first interview so employers aren't left guessing.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data for companies that have certified LCAs for Solutions Architect roles. Employers who've done it before move faster and ask fewer basic sponsorship questions.
Clarify the E-3 advantage during employer conversations
Many U.S. hiring managers assume sponsorship means H-1B visa and a lottery. Tell them the E-3 requires no lottery, no cap registration, and can be ready within weeks of a certified LCA, which removes their biggest hesitation.
Use Migrate Mate to find sponsoring employers
Migrate Mate filters Solutions Architect roles by E-3 sponsorship history, so you're not cold-applying to employers who've never filed. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you have an offer.
Request your LCA before resigning from your current role
The LCA must be certified by DOL before your consulate appointment can be booked. Ask your new employer to start the LCA filing immediately after offer acceptance so there's no gap between your Australian notice period and your U.S. start date.
Prepare for consulate questions about third-party client work
Solutions Architects often work across multiple client sites. Consular officers sometimes scrutinize roles with variable work locations, so bring a detailed offer letter that specifies your employer of record, primary work location, and project scope.
E-3 Visa Solutions Architect: Frequently Asked Questions
How do I find Solutions Architect jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals seeking E-3 sponsorship. It surfaces Solutions Architect roles from employers with verified sponsorship history, so you avoid wasting applications on companies unfamiliar with the E-3. Standard job boards don't filter by visa type, which means most listings you'll find there won't specify E-3 willingness.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Solutions Architect role qualify as a specialty occupation for the E-3?
Yes. Solutions Architect is classified under SOC code 15-1299 or related software and systems engineer categories, and DOL regularly certifies LCAs for the title. The key requirement is that the role demands a bachelor's degree or higher in a specific technical field such as computer science, information systems, or engineering, not just any degree.
How does the E-3 compare to the H-1B for Solutions Architect roles?
The E-3 has no annual lottery and no numerical cap, so an employer can sponsor you at any point in the year. The H-1B is subject to an annual lottery with roughly a one-in-four selection rate for most applicants. For Solutions Architects with an Australian passport, the E-3 is a direct, predictable path that most U.S. technology employers can complete in four to eight weeks after offer.
Can I switch employers on an E-3 while already working in the United States?
Yes, but each new employer must file a fresh LCA and you'll need a new E-3 visa stamp if yours is tied to the previous employer's details. You can start working for the new employer once their LCA is certified and you have a valid visa stamp that covers the new role, or after returning to Australia for a new consulate appointment if your stamp has expired.