NVIDIA E-3 Visa Sponsorship Jobs USA
NVIDIA sponsors E-3 visas for Australian professionals in technical and engineering roles, particularly in areas like AI research, chip design, software engineering, and data infrastructure. Its established immigration program and global talent focus make it a credible E-3 sponsor for qualified candidates with strong technical backgrounds.
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Get Access To All JobsINTRODUCTION
NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs/CPUs, NVIDIA NVLink, NVIDIA Networking, and a fully optimized NVIDIA AI and HPC software stack.
We’re seeking a leader for our Data Center Storage Acceleration & Platforms team. In this role, you’ll optimize NVIDIA platforms to accelerate storage access—eliminating bottlenecks by enabling direct data paths for transfers between GPU memory and storage, bypassing the CPU when possible. You’ll collaborate with leaders across NVIDIA to define reference storage platform designs that integrate NVIDIA-accelerated computing into enterprise storage systems, enabling optimized data handling and delivery.
What you'll be doing:
- Look across the platform, from applications and frameworks to drivers and firmware — to identify software and hardware opportunities that accelerate storage performance. This includes developing new driver features, C++/CUDA libraries, and removing performance & power bottlenecks.
- Drive alignment of the storage acceleration roadmap across next-generation systems, frameworks, applications, and the broader storage ecosystem.
- Spokesperson for the global team, championing initiatives both internally and externally.
- Lead and coordinate the planning, scheduling, and carrying out of team projects and deliverables, ensuring successful completion and accountability for the global team.
- Contribute to the planning and execution of NVIDIA’s reference storage platforms.
What we need to see:
- Deep knowledge of data storage platforms, databases, vector databases.
- In-depth understanding of NVMe, high performance RDMA network protocols, and related technologies.
- Deep understanding of system level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO.
- Strong interpersonal, verbal and written communications skills.
- Successful experience leading team with numerous complex products, competing priorities, and successful delivery on the mission.
- Bachelor’s or preferably Master’s or Doctoral (Ph.D) degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
- 12+ overall years in the industry, including 6+ years growing, mentoring and managing teams with similar responsibilities.
Ways to stand out from the crowd:
- Development experience in storage software such as key-value storage, file systems, object storage systems and vector databases.
- Knowledge of operating system development, including thread and process management, virtual and device memory (e.g., dmabuf), and user-level network and storage I/O.
- Experience in CUDA programming, exceptional C/C++ programming skills.
- Previous experience working with system software for accelerators such as GPUs, DPUs, or FPGAs.
- Internals of frameworks like PyTorch and JAX.
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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
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 248,000 USD - 391,000 USD for Level 4, and 292,000 USD - 442,750 USD for Level 5.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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 data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs/CPUs, NVIDIA NVLink, NVIDIA Networking, and a fully optimized NVIDIA AI and HPC software stack.
We’re seeking a leader for our Data Center Storage Acceleration & Platforms team. In this role, you’ll optimize NVIDIA platforms to accelerate storage access—eliminating bottlenecks by enabling direct data paths for transfers between GPU memory and storage, bypassing the CPU when possible. You’ll collaborate with leaders across NVIDIA to define reference storage platform designs that integrate NVIDIA-accelerated computing into enterprise storage systems, enabling optimized data handling and delivery.
What you'll be doing:
- Look across the platform, from applications and frameworks to drivers and firmware — to identify software and hardware opportunities that accelerate storage performance. This includes developing new driver features, C++/CUDA libraries, and removing performance & power bottlenecks.
- Drive alignment of the storage acceleration roadmap across next-generation systems, frameworks, applications, and the broader storage ecosystem.
- Spokesperson for the global team, championing initiatives both internally and externally.
- Lead and coordinate the planning, scheduling, and carrying out of team projects and deliverables, ensuring successful completion and accountability for the global team.
- Contribute to the planning and execution of NVIDIA’s reference storage platforms.
What we need to see:
- Deep knowledge of data storage platforms, databases, vector databases.
- In-depth understanding of NVMe, high performance RDMA network protocols, and related technologies.
- Deep understanding of system level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO.
- Strong interpersonal, verbal and written communications skills.
- Successful experience leading team with numerous complex products, competing priorities, and successful delivery on the mission.
- Bachelor’s or preferably Master’s or Doctoral (Ph.D) degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
- 12+ overall years in the industry, including 6+ years growing, mentoring and managing teams with similar responsibilities.
Ways to stand out from the crowd:
- Development experience in storage software such as key-value storage, file systems, object storage systems and vector databases.
- Knowledge of operating system development, including thread and process management, virtual and device memory (e.g., dmabuf), and user-level network and storage I/O.
- Experience in CUDA programming, exceptional C/C++ programming skills.
- Previous experience working with system software for accelerators such as GPUs, DPUs, or FPGAs.
- Internals of frameworks like PyTorch and JAX.
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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
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 248,000 USD - 391,000 USD for Level 4, and 292,000 USD - 442,750 USD for Level 5.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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 NVIDIA E-3 Visa Sponsorship Jobs USA
Align your degree to the role
NVIDIA's E-3 roles in AI, GPU architecture, and systems engineering require a degree in a directly related field. A software engineering role supported by a marketing degree won't clear the specialty occupation threshold, so map your credentials explicitly before applying.
Target roles in NVIDIA's core divisions
Focus your search on NVIDIA's silicon engineering, deep learning, and developer technology teams, where E-3 sponsorship has the clearest precedent. Roles in these divisions tend to have the most defined degree requirements, which strengthens your specialty occupation case.
Verify your prevailing wage before negotiating
NVIDIA must certify your offered salary meets DOL prevailing wage standards before filing your LCA. Run your role's SOC code through the OFLC Wage Search to know the applicable wage level before you enter salary discussions.
Confirm NVIDIA's HR team understands E-3
Some large employers process E-3 petitions through the same workflow as H-1B, which creates unnecessary delays. Ask your recruiter early whether their immigration counsel has filed E-3 visas before, since the consular-only process differs from H-1B change-of-status filings.
Use Migrate Mate to check NVIDIA's LCA history
Before your interview, search NVIDIA on Migrate Mate to review their Labor Condition Application filing history by occupation. This tells you which job titles they've sponsored and at what wage levels, so you can frame your application around roles with a clear filing pattern.
Time your application around NVIDIA's hiring cycles
NVIDIA recruits heavily after university graduation periods and ahead of major product release cycles. Applying during these windows improves your chances of reaching a hiring manager who has budget and headcount approved, which is a prerequisite for any LCA filing.
NVIDIA E-3 Visa Sponsorship: Frequently Asked Questions
Does NVIDIA sponsor E-3 visas?
Yes, NVIDIA sponsors E-3 visas for Australian nationals in qualifying specialty occupation roles. Their immigration program is active across technical functions including AI research, GPU engineering, and software development. Sponsorship is role-dependent, so the position must require at least a bachelor's degree in a directly related field to meet E-3 eligibility.
Which departments at NVIDIA are most likely to sponsor E-3 visas?
Engineering and research divisions have the strongest E-3 sponsorship precedent at NVIDIA, particularly teams working on GPU architecture, deep learning frameworks, autonomous systems, and developer tooling. These roles carry clear degree requirements in computer science, electrical engineering, or applied mathematics, which satisfies the specialty occupation definition USCIS requires for E-3 approval.
How do I navigate the E-3 application process after receiving a NVIDIA offer?
Once NVIDIA extends an offer, their immigration counsel files a Labor Condition Application with DOL. After LCA certification, you apply directly at a U.S. consulate in Australia with the certified LCA, your DS-160, and supporting documents. NVIDIA does not file a petition with USCIS, which is why the E-3 moves faster than an H-1B visa.
How long does the E-3 sponsorship process take at NVIDIA?
The LCA certification through DOL typically takes up to seven business days. Consulate appointment availability in Sydney, Melbourne, or Perth determines the remaining timeline, which can range from a few weeks to longer during peak periods. The full process from offer acceptance to visa stamp is generally four to eight weeks for straightforward cases.
How do I find and apply for E-3 eligible roles at NVIDIA?
Search Migrate Mate to find NVIDIA roles filtered for E-3 sponsorship, where you can also review their LCA filing history to identify which job titles have been sponsored before. When you apply, emphasize the direct connection between your Australian degree and the technical requirements of the specific role, since that alignment is central to your E-3 specialty occupation case.
What is the prevailing wage for E-3 sponsorship at NVIDIA?
E-3 employers must pay at least the prevailing wage, determined when they file a Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, ensuring Australian hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.