H-1B Visa Senior Mlops Engineer Jobs
Senior MLOps Engineers qualify for H-1B visa sponsorship under the specialty occupation category, with employers filing a Labor Condition Application before your petition. Roles combining ML infrastructure, model deployment, and pipeline automation at scale meet USCIS's degree-in-a-specific-field requirement, making this one of the stronger H-1B visa job categories in tech.
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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 57+ H-1B Visa Senior Mlops Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Mlops Engineer
Frame your MLOps scope for USCIS
Document that your role requires a degree in computer science, data science, or a directly related field. USCIS scrutinizes hybrid titles like MLOps more than pure software engineering roles, so your offer letter and job description should specify the theoretical and technical knowledge the position demands.
Check employer LCA filing history first
Use Migrate Mate to filter Senior MLOps Engineer roles by verified DOL Labor Condition Application history, so you only target employers who have actually sponsored H-1B petitions for comparable ML infrastructure positions, not just those who list sponsorship as a possibility.
Verify your wage level against OFLC data
Before accepting an offer, run your job title and metro area through the OFLC Wage Search to confirm your offered salary meets at least the Level II prevailing wage. A wage below the certified LCA level is a filing error that can trigger a DOL audit.
Identify cap-exempt employers in your pipeline space
Universities, nonprofit research labs, and government-affiliated AI institutes are cap-exempt, meaning your petition bypasses the annual lottery. MLOps engineers supporting academic model training pipelines or federal research workloads often qualify, and these employers can file year-round without waiting for April registration.
Time your job search around the H-1B registration window
USCIS opens H-1B registration each March for the fiscal year starting October 1. If you're on OPT, align your offer timeline so your start date falls after cap selection. A cap-gap extension covers your status between OPT expiration and October 1 if your petition is selected and pending.
Request premium processing for infrastructure-critical roles
Premium processing guarantees a 15-business-day USCIS decision on your I-129 petition. For senior MLOps positions where onboarding timelines affect production deployments, premium processing protects both you and your employer from extended uncertainty during adjudication.
H-1B Visa Senior Mlops Engineer: Frequently Asked Questions
Does a Senior MLOps Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job requires at least a bachelor's degree in a specific technical field such as computer science, data science, or machine learning engineering. USCIS evaluates the position itself, not just the title. Your employer's job description should explicitly state the theoretical and applied knowledge required, since hybrid titles like MLOps receive closer scrutiny than traditional software engineering roles.
Which employers actually sponsor H-1B visas for Senior MLOps Engineers?
Employers who sponsor H-1B visas for MLOps roles appear in DOL's public LCA disclosure data, which records every certified petition by job title, wage level, and location. Migrate Mate surfaces this data so you can browse Senior MLOps Engineer roles filtered to verified H-1B sponsors, rather than applying to companies that list sponsorship as a possibility but have no filing history.
How does the prevailing wage requirement affect MLOps job offers?
Your employer must certify in the LCA that your offered salary meets the DOL prevailing wage for a Senior MLOps Engineer in your specific metro area. Wage levels vary significantly by location, with Level III and IV wages applying to senior roles. You can verify the applicable wage tier using the OFLC Wage Search before negotiating your offer.
Can I transfer my H-1B to a new employer if I switch MLOps roles?
Yes. Under H-1B portability, you can start working for a new employer as soon as they file a new I-129 petition on your behalf, without waiting for approval, as long as your prior petition was approved and you've maintained valid status. The new employer must file a fresh LCA and petition covering the specific MLOps role and work location.
Does MLOps work covered under a statement of work or contractor arrangement affect H-1B sponsorship?
It can. USCIS requires that the petitioning employer exercise day-to-day control over your work. If you're placed at a third-party client site, USCIS may issue a Request for Evidence questioning whether the sponsor is your true employer. Direct-hire roles at the sponsoring company are straightforward; staffing or consulting arrangements require additional documentation to establish employer control.