E-3 Visa Systems Architect Jobs
Systems Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, information systems, or a related field. Australian nationals can renew the E-3 indefinitely in two-year increments, with no lottery and no annual cap to compete against.
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Get Access To All JobsINTRODUCTION
We are now looking for a Senior Deep Learning Systems Architect! NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.
ROLE AND RESPONSIBILITIES
As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs and systems advancing the state of AI.
This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.
As a system architect for NVIDIA’s offerings for AI systems, you will participate in engineering projects and co-design architecture for systems from conception, specification and prototyping.
Understanding various AI/DL workloads and their mapping to underlying HW and Systems. Identifying potential improvements and bottlenecks, proposing solutions to address existing gaps, and accelerate/improve current systems/methods.
* Comprehensive analyses from first principles of various deep learning techniques, system optimizations to build out analytical models as well as implementing prototypes, and benchmarking to test/prove ideas.
BASIC QUALIFICATIONS
MS (or equivalent experience) or PhD degree in computer science, computer architecture, electrical engineering or related field with 10+ years of relevant work experience. Additional equivalent experience in several of the relevant areas listed below can substitute for an advanced degree.
Strong background in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as PyTorch, TensorFlow or JAX): Numerical analysis, Performance analysis and optimization & Computer architecture.
Programming fluency with C++ and ideally Python.
Work experience with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) is a huge plus.
PREFERRED QUALIFICATIONS
Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Deep Learning Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
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 July 19, 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 Deep Learning Systems Architect! NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.
ROLE AND RESPONSIBILITIES
As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs and systems advancing the state of AI.
This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.
As a system architect for NVIDIA’s offerings for AI systems, you will participate in engineering projects and co-design architecture for systems from conception, specification and prototyping.
Understanding various AI/DL workloads and their mapping to underlying HW and Systems. Identifying potential improvements and bottlenecks, proposing solutions to address existing gaps, and accelerate/improve current systems/methods.
* Comprehensive analyses from first principles of various deep learning techniques, system optimizations to build out analytical models as well as implementing prototypes, and benchmarking to test/prove ideas.
BASIC QUALIFICATIONS
MS (or equivalent experience) or PhD degree in computer science, computer architecture, electrical engineering or related field with 10+ years of relevant work experience. Additional equivalent experience in several of the relevant areas listed below can substitute for an advanced degree.
Strong background in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as PyTorch, TensorFlow or JAX): Numerical analysis, Performance analysis and optimization & Computer architecture.
Programming fluency with C++ and ideally Python.
Work experience with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) is a huge plus.
PREFERRED QUALIFICATIONS
Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Deep Learning Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
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 July 19, 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 482+ E-3 Visa Systems Architect Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Systems Architect
Document your degree equivalency before applying
Australian three-year bachelor's degrees are accepted for E-3 visa purposes, but your offer letter and LCA must explicitly reference a field-specific degree requirement. Have your transcripts and credentials ready to confirm the specialty occupation match before outreach begins.
Target employers with existing visa infrastructure
Systems Architect roles often sit inside enterprise IT, cloud, or consulting divisions. Focus on organizations that have already filed LCAs for technical staff, as they understand DOL prevailing wage requirements and won't be learning the E-3 process at your expense.
Search for E-3 sponsorship roles on Migrate Mate
Migrate Mate filters Systems Architect listings by employers with active E-3 sponsorship history, so you're not guessing which companies will engage. Use it to find roles where the hiring team already understands Australian visa requirements.
Clarify the LCA timeline before accepting an offer
Your employer must file and receive a certified LCA from DOL before you can apply at the consulate. Standard DOL processing runs around seven business days. Confirm your start date accounts for this step so there's no gap between offer acceptance and your consulate appointment.
Frame your systems architecture scope in visa terms
Consular officers assess whether your role genuinely requires a theoretical and practical application of specialized knowledge. Document that your position involves enterprise-level design decisions, not general IT support, to satisfy the specialty occupation definition at your interview.
Use Migrate Mate's E-3 filing service for complex offers
When your role spans multiple worksites or involves a third-party client site, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. Multi-site arrangements require careful documentation to avoid LCA certification issues that can delay your start date.
E-3 Visa Systems Architect: Frequently Asked Questions
How do I find Systems Architect jobs that offer E-3 sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 sponsorship roles. It surfaces Systems Architect positions from employers with a history of sponsoring Australian workers, which cuts out the time spent cold-applying to companies unfamiliar with the E-3 process. Standard job boards don't filter by visa sponsorship type or nationality.
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 Systems Architect role qualify as a specialty occupation for the E-3?
Yes, provided the position requires at least a bachelor's degree in a specific technical field such as computer science, information systems engineering, or software engineering. Roles that accept any bachelor's degree regardless of field can create problems at the LCA or consulate stage, so your job description needs to specify the degree requirement clearly.
How does the E-3 compare to H-1B for Systems Architect roles?
The E-3 has a 10,500 annual allocation that has never been exhausted, so there's no lottery and no registration fee. H-1B visa selection runs around 25% in recent years and requires cap registration each March. For Australian nationals, the E-3 is a direct path to a Systems Architect role without the lottery risk or the twelve-month wait a failed H-1B registration creates.
Can I switch employers on an E-3 while working as a Systems Architect?
You can change employers, but you'll need a new LCA certified by DOL and a new visa stamp if your current visa is tied to your previous employer. There's no portability provision equivalent to H-1B's AC21 rule. Start the new LCA process before your last day if possible to avoid a status gap between roles.