Green Card Llm Engineer Jobs
LLM Engineer roles sit squarely within EB-2 and EB-3 sponsorship pathways, as employers must complete PERM labor certification before filing the I-140 immigrant petition. Demand for professionals who design, fine-tune, and deploy large language models has pushed more U.S. tech employers to sponsor green cards for qualified foreign candidates.
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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 Green Card Sponsorship as a Llm Engineer
Document your LLM specialization before applying
Gather evidence that your work is specific to large language model development, not general software engineering. PERM job descriptions must match your actual duties, so your resume, publications, and project records need to reflect fine-tuning, RLHF, or inference optimization specifically.
Target employers with established PERM filing history
Search OFLC disclosure data to identify tech companies that have filed PERM applications for LLM or machine learning engineer roles. Employers already familiar with the PERM recruitment process move faster and are less likely to withdraw sponsorship mid-process.
Use Migrate Mate to filter green card sponsoring roles
Filter your job search on Migrate Mate to surface LLM Engineer positions at employers with active EB-2 and EB-3 sponsorship history. This cuts out roles where sponsorship is uncertain and focuses your applications on companies already set up to file.
Clarify the EB tier before accepting an offer
Ask the employer's immigration counsel whether your role qualifies under EB-2 or EB-3 before signing. EB-2 requires a master's degree or its equivalent; EB-3 covers bachelor's-level professionals. The distinction affects your priority date and wait time, especially if you were born in India or China.
Understand how PERM recruitment timelines affect your start date
DOL requires employers to complete a supervised recruitment process before filing PERM. This typically adds three to six months before the I-140 is even filed. Negotiating your start date with this window in mind prevents gaps if you're transitioning from a visa status with a hard end date.
Request concurrent filing of I-140 and I-485 if your priority date is current
If your country of birth has a current priority date at the time PERM is approved, ask USCIS to allow concurrent I-140 and I-485 filing. This can shorten your path to permanent residency by months and lets you work and travel freely while your case is pending.
Green Card Llm Engineer: Frequently Asked Questions
Do LLM Engineer roles qualify for EB-2 or EB-3 green card sponsorship?
Most LLM Engineer positions qualify for EB-2 because they require a master's degree or its equivalent in computer science, machine learning, or a related field. Roles that accept a bachelor's degree with progressive experience can fall under EB-3. The employer's immigration counsel determines the tier based on the actual job requirements during PERM filing.
How does green card sponsorship differ from H-1B sponsorship for LLM Engineers?
H-1B visa is a temporary status requiring renewal every three years with no path to permanent residency on its own. EB-2 and EB-3 green card sponsorship goes through PERM labor certification and leads directly to lawful permanent residency. There is no annual lottery at the EB-3 level, though country-of-birth backlogs affect how long the I-485 stage takes for applicants born in India or China.
What does the PERM process look like for an LLM Engineer role?
The employer files a PERM application with DOL after completing a supervised recruitment process to confirm no qualified U.S. workers are available for the role. For LLM Engineer positions, the job description must specify technical requirements tied to large language model development. DOL processing currently averages several months to over a year depending on whether the application is audited.
Where can I find LLM Engineer jobs that include green card sponsorship?
Migrate Mate lets you search specifically for LLM Engineer roles at employers with EB-2 and EB-3 sponsorship history, so you're not guessing whether a company will file. Standard job boards don't filter by PERM filing history, which means most listings don't tell you whether the employer has ever sponsored a green card before.
Can my employer start PERM while I'm on H-1B, and does my status stay protected?
Yes. Employers routinely begin PERM while you're on H-1B, and your status is unaffected during the process. Once the I-140 is approved, AC21 portability lets you change employers or roles after 180 days without losing your priority date, as long as the new position is in the same or similar occupational classification as the original PERM job.