Green Card Senior Mlops Engineer Jobs
Senior MLOps Engineer roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available. Roles requiring ML infrastructure design, model deployment pipelines, and production monitoring typically meet the specialty occupation standard that supports both categories.
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Get Access To All JobsINTRODUCTION
NVIDIA is looking for a dedicated and motivated build and continuous integration (CI/CD) engineer for its GenAI Frameworks (Megatron-LM and NeMo Framework) team. Megatron-LM and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Video Generation. Megatron-LM and NeMo Framework provide end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience. Building upon the latest DevOps tools, your work will enable GenAI framework software engineers, deep learning algorithm engineers, and research scientists to work efficiently with a wide variety of deep learning algorithms and software stacks as they vigilantly seek out opportunities for performance optimization and continuously deliver high quality software. Does the idea of pushing the boundaries of innovative research and development excite you? Are you interested in getting exposure to the entire DL SW stack? Then join our technically diverse team of DL algorithm engineers and performance optimization specialists to unlock unprecedented deep learning performance in every domain.
ROLE AND RESPONSIBILITIES
- Develop and maintain the continuous integration pipelines and release processes of our Generative AI framework and libraries related to Megatron-LM and NeMo Framework.
- Implement efficient and scalable DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-quality and maximum performance.
- Work with industry standard tools (Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, Jira) in hybrid on-premise and cloud environments.
- Assist with cluster operations and system administration (managing: servers, team accounts, clusters).
- Accelerate research and development cycles by automating recurring tasks such as accuracy and performance regression detection.
- Developing new quality control measures, e.g. code analysis, backwards compatibility, and regression testing, while employing and advancing best-practices.
- Work closely with DL frameworks and libraries (CUDA, cuDNN, cuBLAS, and PyTorch) teams and with other engineering teams within NVIDIA that provide software, testing, and release related infrastructure.
BASIC QUALIFICATIONS
- BS or MS degree in Computer Science, Computer Architecture or related technical field (or equivalent experience) and 3+ years of industry experience in DevOps and infrastructure engineering.
- Strong system level programming in languages like Python and shell scripting.
- Experience with build/release systems and CI/CD with solutions like Gitlab, Github, Jenkins etc.
- Experience with Linux system administration.
- Experience with containerization and cluster management technologies like Docker and Kubernetes.
- Experience in build tools, including Make, Cmake.
- A strong background in source code management (SCM) solutions such as GitLab, GitHub, Perforce, etc.
- Well-versed problem-solving and debugging skills.
- Great teammate who can collaborate and influence others in a dynamic environment.
- Excellent interpersonal and written communication skills.
PREFERRED QUALIFICATIONS
- Proven-track record with GPU accelerated systems at scale.
- Well-versed in DL frameworks such as PyTorch, Jax, or TensorFlow.
- Expertise in cluster and cloud compute technologies, e.g.: SLURM, Lustre, k8s
- Software and hardware Benchmarking on high-performance computing systems.
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 152,000 USD - 241,500 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 23, 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.
JR2013494
INTRODUCTION
NVIDIA is looking for a dedicated and motivated build and continuous integration (CI/CD) engineer for its GenAI Frameworks (Megatron-LM and NeMo Framework) team. Megatron-LM and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Video Generation. Megatron-LM and NeMo Framework provide end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience. Building upon the latest DevOps tools, your work will enable GenAI framework software engineers, deep learning algorithm engineers, and research scientists to work efficiently with a wide variety of deep learning algorithms and software stacks as they vigilantly seek out opportunities for performance optimization and continuously deliver high quality software. Does the idea of pushing the boundaries of innovative research and development excite you? Are you interested in getting exposure to the entire DL SW stack? Then join our technically diverse team of DL algorithm engineers and performance optimization specialists to unlock unprecedented deep learning performance in every domain.
ROLE AND RESPONSIBILITIES
- Develop and maintain the continuous integration pipelines and release processes of our Generative AI framework and libraries related to Megatron-LM and NeMo Framework.
- Implement efficient and scalable DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-quality and maximum performance.
- Work with industry standard tools (Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, Jira) in hybrid on-premise and cloud environments.
- Assist with cluster operations and system administration (managing: servers, team accounts, clusters).
- Accelerate research and development cycles by automating recurring tasks such as accuracy and performance regression detection.
- Developing new quality control measures, e.g. code analysis, backwards compatibility, and regression testing, while employing and advancing best-practices.
- Work closely with DL frameworks and libraries (CUDA, cuDNN, cuBLAS, and PyTorch) teams and with other engineering teams within NVIDIA that provide software, testing, and release related infrastructure.
BASIC QUALIFICATIONS
- BS or MS degree in Computer Science, Computer Architecture or related technical field (or equivalent experience) and 3+ years of industry experience in DevOps and infrastructure engineering.
- Strong system level programming in languages like Python and shell scripting.
- Experience with build/release systems and CI/CD with solutions like Gitlab, Github, Jenkins etc.
- Experience with Linux system administration.
- Experience with containerization and cluster management technologies like Docker and Kubernetes.
- Experience in build tools, including Make, Cmake.
- A strong background in source code management (SCM) solutions such as GitLab, GitHub, Perforce, etc.
- Well-versed problem-solving and debugging skills.
- Great teammate who can collaborate and influence others in a dynamic environment.
- Excellent interpersonal and written communication skills.
PREFERRED QUALIFICATIONS
- Proven-track record with GPU accelerated systems at scale.
- Well-versed in DL frameworks such as PyTorch, Jax, or TensorFlow.
- Expertise in cluster and cloud compute technologies, e.g.: SLURM, Lustre, k8s
- Software and hardware Benchmarking on high-performance computing systems.
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 152,000 USD - 241,500 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 23, 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.
JR2013494
See all 59+ Green Card Senior Mlops Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Mlops Engineer
Align your credentials to EB-2 requirements
A master's degree in computer science, machine learning, or a related field positions you for EB-2 eligibility. If you hold only a bachelor's degree, document five or more years of progressive MLOps experience to satisfy the advanced-degree equivalent standard under PERM.
Target employers with active PERM filing history
Search the DOL's OFLC Wage Search database to identify companies that have previously filed PERM applications for MLOps or machine learning engineering roles. Repeated filings signal an established internal sponsorship process rather than a one-off case.
Verify your role's SOC code before the offer
MLOps Engineer positions are commonly classified under SOC 15-2051 or 15-1244 depending on the employer's framing. Confirm which code your offer letter will use, since the SOC code determines the prevailing wage tier DOL applies during PERM labor certification.
Use Migrate Mate to find sponsoring employers fast
Search for Senior MLOps Engineer roles with confirmed green card sponsorship history using Migrate Mate. The platform surfaces employers who have filed PERM or I-140 petitions for comparable ML infrastructure roles, saving you from cold-outreach to companies with no sponsorship track record.
Negotiate PERM timeline into your employment offer
Ask your employer to initiate the PERM prevailing wage determination request with DOL within your first three months. PERM processing at DOL currently runs six to eighteen months before the I-140 stage, so starting early directly affects how quickly your priority date is established.
Prepare your O*NET occupation documentation early
USCIS and your employer's immigration counsel will reference the O*NET profile for your role to support the specialty occupation determination. Gather job descriptions, project portfolios, and academic transcripts that map your duties to the technical requirements listed there before the audit process begins.
Green Card Senior Mlops Engineer: Frequently Asked Questions
Does a Senior MLOps Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Senior MLOps Engineer positions qualify for EB-2 if the role requires a master's degree or equivalent, or EB-3 if it requires at least a bachelor's degree in a specific technical field. Your employer's immigration counsel determines the category based on the actual job duties, the minimum education requirement in the job description, and the prevailing wage tier assigned by DOL during PERM.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B visa is a temporary status capped at six years without an approved I-140, subject to an annual lottery, and tied to a specific employer. PERM-based green card sponsorship is permanent, has no annual lottery, and once your I-140 is approved your priority date is locked even if you change employers under AC21 portability. For MLOps engineers from most countries outside India and China, EB-3 wait times are short or negligible.
What documentation should I prepare for the PERM specialty occupation determination?
You'll need official transcripts showing a bachelor's degree or higher in computer science, software engineering, or a closely related field, along with a detailed resume that maps your MLOps experience to the job duties in the offer letter. If your degree is from outside the U.S., obtain a credential evaluation from a NACES-member organization before your employer files the PERM application with DOL.
Where can I find Senior MLOps Engineer jobs where the employer already sponsors green cards?
Migrate Mate aggregates Senior MLOps Engineer roles from employers with verified PERM and I-140 filing history, so you can filter for companies that have already navigated the green card process for comparable positions. This avoids the common scenario of negotiating sponsorship from scratch with an employer who has no internal process for it.
Can I switch employers after my PERM is approved but before I get my green card?
Yes, under AC21 portability you can change to a same or similar occupational role after your I-485 adjustment of status application has been pending for 180 days or more. MLOps and machine learning engineering roles generally fall within the same SOC code family, which supports portability claims. Notify USCIS of the job change and keep documentation showing the new role is substantially similar to the one on your approved I-140.