Llm Engineer Jobs in USA with Visa Sponsorship
LLM Engineer roles are among the most actively sponsored positions in U.S. tech right now. Employers filing H-1B visa petitions for this title typically classify it under computer science or AI-related specialty occupations, and demand has outpaced domestic supply significantly. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
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 training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.
ROLE AND RESPONSIBILITIES
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 neural networks.
Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
Build tools to automate workload analysis, workload optimization, and other critical workflows.
BASIC QUALIFICATIONS
MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
Strong background in deep learning and neural networks, in particular training.
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.
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 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 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.
JR2019451
INTRODUCTION
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 training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.
ROLE AND RESPONSIBILITIES
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 neural networks.
Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
Build tools to automate workload analysis, workload optimization, and other critical workflows.
BASIC QUALIFICATIONS
MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
Strong background in deep learning and neural networks, in particular training.
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.
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 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 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.
JR2019451
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Get Access To All JobsTips for Finding Visa Sponsorship as a Llm Engineer
Target AI-native companies and labs
Startups and research labs building foundational models, OpenAI, Anthropic, and enterprise AI teams sponsor LLM Engineers at high rates. These employers have established H-1B pipelines and understand the specialty occupation requirements for this role.
Clarify your degree field upfront
USCIS requires a direct nexus between your degree and the role. Computer science, electrical engineering, mathematics, and computational linguistics all qualify. If your degree is adjacent, be prepared to show coursework directly relevant to language model development.
Document proprietary work carefully
LLM Engineers often work on cutting-edge systems that can't be publicly disclosed. Build a portfolio that describes your work at an architectural level without violating NDAs. Concrete examples of model performance, fine-tuning approaches, and deployment scale strengthen petitions significantly.
Understand cap-exempt employer options
Universities, nonprofit research institutions, and their affiliated entities are exempt from the H-1B lottery. If you're open to applied research roles, these employers can file year-round without subjecting you to the annual selection process.
Time your job search around the H-1B cycle
Registration opens in March for October 1 start dates. Starting your search in October through January gives employers time to prepare your petition before the window opens. Late searches often push start dates back a full year.
Consider O-1A as a parallel path
LLM Engineers with publications, conference presentations, open-source contributions, or recognized model releases may qualify for O-1A extraordinary ability classification. This visa has no lottery and no annual cap, making it a strong alternative for candidates with a public track record.
Frequently Asked Questions
Does an LLM Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, in the vast majority of cases. USCIS evaluates whether the position normally requires at least a bachelor's degree in a specific field. LLM Engineer roles typically require computer science, AI, or a closely related discipline, and USCIS has consistently approved petitions for software and AI engineering roles meeting that standard. Roles where the job description is vague or accepts any degree regardless of field face higher scrutiny.
Do I need a master's degree to get sponsored as an LLM Engineer?
A master's degree is not required, but it helps. A bachelor's in computer science, mathematics, or a related field is sufficient for most H-1B visa petitions. However, many employers in the LLM space do prefer or require advanced degrees given the research depth of the work. If you have a strong portfolio of practical work, fine-tuning, RLHF, inference optimization, that can offset the absence of a graduate degree in some cases.
Which visa types do LLM Engineers most commonly use?
H-1B is by far the most common. Canadians and Mexicans may qualify for TN visas under the computer systems analyst category, though TN is adjudicated at the port of entry and acceptance for AI-specific roles can be inconsistent. O-1A is increasingly used by engineers with publications or recognized open-source contributions. Australians may qualify for the E-3 visa, which has no lottery and allows unlimited two-year renewals.
How competitive is the H-1B lottery for LLM Engineer roles?
The regular cap lottery currently selects roughly 25% of registrations. However, candidates with a U.S. master's degree or higher enter a separate master's cap pool first, which historically has had better odds before remaining slots roll into the general pool. The lottery is random, so no employer or role type improves your individual odds. Searching Migrate Mate specifically filters for employers with active H-1B sponsorship history, which narrows your focus to companies that have navigated this process before.
Can I switch employers mid-H-1B as an LLM Engineer?
Yes. Under H-1B portability, you can start working for a new employer as soon as they file an H-1B transfer petition on your behalf, without waiting for approval. The new petition must be filed while your current status is valid. LLM Engineering is a high-demand field, and employers experienced with tech hiring generally understand portability and can move quickly through the process.
What is the prevailing wage requirement for sponsored Llm Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.