E-3 Visa Llm Engineer Jobs
LLM Engineer roles qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, AI, or a related field. Australian nationals can secure E-3 visa sponsorship without entering a lottery, making it faster to start than H-1B visa. The 10,500 annual allocation has never been exhausted.
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Get Access To All JobsINTRODUCTION
GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.
We are now looking for a High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance pre-training and post-training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.
What you will be doing:
- Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
- Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art LLMs.
- Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack.
- Implement key LLM training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
- Build agentic tools to automate workload analysis, workload optimization, and other critical workflows.
What we want to see:
- M.S. or PhD in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
- Strong background in deep learning and neural networks, in particular model training optimizations.
- A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
- Proven experience analyzing and tuning application performance & processor and system-level performance modeling.
- Programming skills in C++, Python, and CUDA.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 25, 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
GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.
We are now looking for a High-Performance LLM Training Engineer! NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance pre-training and post-training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.
What you will be doing:
- Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
- Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art LLMs.
- Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack.
- Implement key LLM training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
- Build agentic tools to automate workload analysis, workload optimization, and other critical workflows.
What we want to see:
- M.S. or PhD in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
- Strong background in deep learning and neural networks, in particular model training optimizations.
- A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
- Proven experience analyzing and tuning application performance & processor and system-level performance modeling.
- Programming skills in C++, Python, and CUDA.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 25, 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 as a Llm Engineer
Translate your Australian degree credentials early
A three-year Australian bachelor's in computer science or AI satisfies the E-3 visa specialty occupation degree requirement. Get a credential evaluation from a NACES-member evaluator before you start applying so employers don't raise questions during the offer stage.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for software engineer or machine learning titles. These employers already understand the E-3 process and won't need to be educated on sponsorship basics.
Use Migrate Mate to find verified E-3 roles
LLM Engineer positions with E-3 sponsorship aren't always flagged clearly on general job boards. Migrate Mate filters specifically for Australian professionals and E-3-eligible roles, so you're not manually screening hundreds of listings for sponsorship willingness.
Clarify the specialty occupation link in your offer letter
LLM Engineer is an emerging title, and consular officers may scrutinize whether it meets specialty occupation criteria. Ask your employer to specify in the offer letter that the role requires a degree in a directly related technical field, not just any bachelor's degree.
File your LCA before accepting a start date
DOL typically certifies LCAs within seven business days, but that clock only starts once your employer submits. Confirm your employer has initiated the LCA filing before you give notice at your current job or book flights, since your E-3 can't be issued without it.
Use Migrate Mate's E-3 filing service for end-to-end preparation
LLM Engineer roles involve nuanced specialty occupation documentation that can trip up employers filing E-3s for the first time. Migrate Mate's E-3 filing service handles the LCA, visa paperwork, and consulate preparation so nothing is missed before your interview.
E-3 Visa Llm Engineer: Frequently Asked Questions
How do I find LLM Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3-eligible roles in the U.S. Rather than filtering through general listings manually, you can search verified LLM Engineer positions where employers are already open to E-3 sponsorship. This removes the guesswork of cold-applying and hoping a company will engage.
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 an LLM Engineer role qualify as a specialty occupation for the E-3?
Yes, provided the position genuinely requires a bachelor's degree or higher in computer science, artificial intelligence, machine learning, or a directly related technical field. The key is that the degree must be a prerequisite for the role itself, not just preferred. Roles where any technical degree would suffice can face scrutiny at the consulate, so the job description and offer letter wording matter.
How does the E-3 compare to the H-1B for LLM Engineer roles?
The E-3 has no lottery and no annual cap backlog for Australians, so you can apply any time of year and start work as soon as your visa is issued. H-1B registration closes in March and selection is randomized, meaning qualified LLM Engineers can wait years before securing status. The E-3 is renewable indefinitely in two-year increments as long as you hold a qualifying offer.
Can I change employers or projects while on an E-3 as an LLM Engineer?
You can change employers, but your new employer must file a fresh LCA and you'll need a new E-3 visa tied to that role. There's no portability provision like H-1B's AC21, so you're tied to the specific employer on your current visa. If you're contracting or moving between teams at different legal entities, each change triggers a new filing process.