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This listing was closed on Jul 19, 2026.
Browse Open JobsSenior MLOps Engineer, GenAI Framework
Summary by AIEngineer.careers
Senior MLOps Engineer, GenAI Framework is a MLOps Engineer role (full-time). with NVIDIA. in SANTA CLARA, US. Compensation shown: $152K–$242K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
SANTA CLARA · US
$152K–$242K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
NVIDIA is looking for a Senior MLOps Engineer to build and maintain CI/CD pipelines for its GenAI Frameworks (Megatron-LM and NeMo). You will develop scalable DevOps solutions, manage cluster operations, and collaborate with deep learning teams to accelerate AI research and development.
Responsibilities
- Develop and maintain continuous integration pipelines and release processes for Megatron-LM and NeMo Framework.
- Implement efficient and scalable DevOps solutions for frequent, high-quality software releases.
- Work with Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, and Jira in hybrid on-premise and cloud environments.
- Assist with cluster operations and system administration.
- Automate accuracy and performance regression detection to accelerate R&D cycles.
- Develop quality control measures like code analysis, backwards compatibility, and regression testing.
Requirements
- BS or MS in Computer Science or related field (or equivalent experience) and 3+ years of DevOps/infrastructure engineering experience.
- Strong system-level programming in Python and shell scripting.
- Experience with build/release systems and CI/CD (GitLab, GitHub, Jenkins).
NVIDIA
Santa Clara · US · 36410+ employees
NVIDIA is a pioneer in accelerated computing that invented the GPU, sparking the growth of modern AI and computer graphics. It is now a full-stack computing company providing data-center-scale offerings.
