E-3 Visa Senior Cloud Solutions Architect Jobs
Senior Cloud Solutions Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, engineering, or a related field. Australian citizens can apply without entering a lottery, and your employer files a Labor Condition Application before your consulate appointment. Renewals are indefinite with continuous employment.
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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. 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.
NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. Drive outtake and consumption by integrating libraries, frameworks, models, and software applications. Deliver GenAI, AI, and ML hardware/software to production with the most consequential customers and partners, supporting partners building next-gen GPU platforms. Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback. Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
- Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
- Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
- Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
- 10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
- Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
- Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
- Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
- Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
- Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
- Self-starter with a passion for growth, continuous learning, and sharing insights.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X.
- Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises / hybrid infrastructure, in particular inference and training workloads.
- Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
- Proficiency with large-scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).
- Experience working with enterprise developers and strong customer-facing skills.
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 5, 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. 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.
NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. Drive outtake and consumption by integrating libraries, frameworks, models, and software applications. Deliver GenAI, AI, and ML hardware/software to production with the most consequential customers and partners, supporting partners building next-gen GPU platforms. Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback. Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
- Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
- Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
- Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
- 10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
- Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
- Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
- Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
- Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
- Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
- Self-starter with a passion for growth, continuous learning, and sharing insights.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X.
- Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises / hybrid infrastructure, in particular inference and training workloads.
- Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
- Proficiency with large-scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).
- Experience working with enterprise developers and strong customer-facing skills.
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 5, 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 143+ E-3 Visa Senior Cloud Solutions Architect Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Senior Cloud Solutions Architect
Align your credentials to specialty occupation standards
USCIS requires that your degree field directly relates to cloud architecture work. A computer science or engineering degree is straightforward, but an unrelated bachelor's needs supporting evidence like transcripts and a credential evaluation showing equivalency to a U.S. four-year degree.
Target employers with active LCA filing history
Cloud architecture roles at consulting firms, hyperscaler partners, and enterprise software companies generate frequent LCA filings. Filtering by DOL's Office of Foreign Labor Certification disclosure data lets you identify which employers have recently sponsored similar technical roles.
Position your Australian cloud certifications strategically
AWS, Azure, and GCP certifications earned in Australia carry the same weight as U.S.-issued ones, but hiring managers may not automatically connect them to E-3 visa eligibility. Frame your certifications alongside your degree in your application to make the specialty occupation case immediately clear.
Clarify the LCA timeline with your prospective employer
Many U.S. employers hiring cloud architects haven't filed E-3 LCAs before and underestimate the lead time. The DOL typically certifies LCAs within seven business days, so the process is fast, but your offer letter and role description need to be finalized before filing can begin.
Use Migrate Mate's E-3 filing service for the full process
Once you have an offer, Migrate Mate's E-3 filing service handles your LCA submission, DS-160, and consulate preparation end-to-end. This is especially useful for cloud architects whose employers are sponsoring an E-3 for the first time and need guided support through each filing step.
Prepare for specialty occupation scrutiny at the consulate
Consular officers occasionally probe whether a cloud architect role genuinely requires a specific degree rather than general IT experience. Bring your offer letter, a role description naming required technical skills, and your academic transcripts to document the direct connection between your qualification and the position.
E-3 Visa Senior Cloud Solutions Architect: Frequently Asked Questions
How do I find Senior Cloud Solutions Architect jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically to surface these roles. You can filter by job title and E-3 sponsorship history to find employers who have demonstrated willingness to file LCAs for Australian professionals. That's a faster starting point than sorting through general job listings where sponsorship willingness is rarely stated upfront.
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 Senior Cloud Solutions Architect role qualify as a specialty occupation for E-3 purposes?
Yes. Cloud solutions architecture requires a theoretical and practical application of highly specialized knowledge, typically in computer science, information systems, or engineering. The role meets USCIS's specialty occupation definition because a bachelor's degree in a specific technical field is a standard industry requirement, not just a preference.
How does the E-3 compare to the H-1B for Australian cloud architects?
The E-3 has a 10,500 annual allocation that has never been exhausted, so there's no lottery and no waitlist. The H-1B visa runs a random selection lottery with significantly more registrants than available slots each year. For an Australian citizen with a qualifying cloud architecture role and degree, the E-3 is a direct path the H-1B cannot offer.
Can I switch employers while on an E-3 as a cloud architect?
Yes, but your new employer must file a fresh LCA and you'll need a new E-3 visa stamp or an amended status approval before starting work. There's no E-3 portability provision equivalent to H-1B's AC21, so the timing of your job change relative to your current visa validity matters for avoiding a gap in authorization.