Senior Mlops Engineer Jobs in USA with Visa Sponsorship
Senior MLOps Engineers are strong candidates for H-1B visa and O-1 visa sponsorship. The role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related field, and employers routinely sponsor across both cap-subject and cap-exempt pathways. For detailed occupation requirements, see the O*NET profile.
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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 62+ Senior Mlops Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Mlops Engineer
Target cap-exempt employers first
Universities, nonprofit research institutions, and affiliated organizations can file H-1B petitions outside the annual lottery. For MLOps roles, these employers often run ML infrastructure teams and sponsor year-round without the April cap-subject filing window.
Document your specialized tech stack
USCIS approves H-1B petitions when the role requires a specific degree field. List every tool you work with, such as Kubeflow, MLflow, or Vertex AI, and connect each to how it demands specialized academic training beyond a general computer science background.
Use O-1A as a backup if you have a strong record
If you have published research, conference presentations, open-source contributions with significant adoption, or awards in machine learning, you may qualify for O-1A extraordinary ability. There is no lottery and no annual cap for this category.
Ask about L-1A and L-1B eligibility if you have an overseas employer
If your current employer has a U.S. office, an L-1B intracompany transfer for specialized knowledge is often faster than H-1B. MLOps engineers with proprietary internal platform knowledge frequently qualify. No lottery and no prevailing wage requirement for L-1B.
Clarify sponsorship scope during the offer stage
Some employers cover only the I-129 filing fee, not premium processing or legal fees. Confirm in writing what the employer will pay and whether they will support green card sponsorship after one year, which is common for senior engineering roles.
Browse verified sponsoring employers on Migrate Mate
Not every job listing makes sponsorship status obvious. Migrate Mate filters roles by verified sponsorship willingness, so you can focus applications on Senior MLOps positions where the employer has an active track record of filing H-1B petitions.
Frequently Asked Questions
Does a Senior MLOps Engineer role qualify as an H-1B specialty occupation?
Yes. Senior MLOps Engineer consistently qualifies as a specialty occupation because the position normally requires at least a bachelor's degree in computer science, software engineering, or a closely related field. USCIS looks at whether the degree requirement is standard for the industry. DOL LCA disclosure data shows thousands of approved H-1B visa petitions under MLOps and related ML infrastructure titles each year, confirming that employers and adjudicators treat the role as qualifying.
What degree do I need for H-1B sponsorship as an MLOps Engineer?
A bachelor's degree or higher in computer science, software engineering, mathematics, or a directly related technical field is the standard requirement. A degree in an unrelated field, even combined with strong MLOps experience, can complicate approval because USCIS requires the degree field to correspond to the role's duties. If your degree is adjacent rather than exact, an immigration attorney can build a theoretical argument using coursework relevance, but it adds risk. Equivalent experience, at the ratio of three years of work per one year of education, may substitute for a degree in some cases.
How likely is H-1B approval for an MLOps Engineer, and what are the main denial risks?
Approval rates for software and ML engineering roles are high relative to other occupations, but Requests for Evidence remain common when job duties are broadly written or the degree field is ambiguous. The most frequent RFE trigger for MLOps roles is a job description that reads as general software development rather than specialized ML infrastructure. Petitions with detailed duty descriptions linking specific tools and workflows to degree-level knowledge fare significantly better. Premium processing, which currently adjudicates within 15 business days, reduces uncertainty and is worth requesting for senior hires.
Where can I find Senior MLOps Engineer jobs that sponsor visas?
Migrate Mate is the recommended starting point. The platform lists Senior MLOps Engineer roles from employers with a verified sponsorship track record, so you are not guessing at sponsorship willingness from a standard job posting. Large tech companies, cloud platform teams at AWS, Google, and Microsoft, as well as AI-focused startups with institutional backing, are the most active sponsors in this category. Filtering by sponsorship status before applying saves significant time during a job search.
Can I stay in the U.S. and change MLOps employers if my H-1B is already approved?
Yes, H-1B portability allows you to start work with a new employer as soon as the new H-1B petition is filed, without waiting for approval, provided you have been in valid H-1B status and the new petition is non-frivolous. Your new employer files a fresh I-129 petition. You do not re-enter the lottery if you already hold H-1B status. This makes senior engineering roles with multiple competing offers more flexible than many candidates realize.
What is the prevailing wage requirement for sponsored Senior Mlops 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.