NVIDIA is seeking a Senior DevOps Engineer to join the Analytics and Data Intelligence Engineering Operations team, supporting RAPIDS, the GPU-accelerated open-source data science suite. The role involves collaborating with build engineers, developers and management to deliver high-quality software, developing and modernizing packages (including Python wheels), and designing and maintaining container build processes. You will lead hands-on DevOps initiatives across CI/CD, observability, security/compliance, and system administration, and you will operate and maintain infrastructure while helping inform hardware purchasing decisions.

Requirements include a BS in Computer Engineering, Computer Science, or a related field (or equivalent experience); 8+ years of DevOps experience; proficiency with scripting (Bash and Python); experience with Conda and/or PyPI packaging; Docker/containerization; CI/CD tooling (Jenkins, Git, GitHub Actions); cloud services (AWS, Azure) and cost management; and Linux administration (Ubuntu preferred). Nice-to-have: CUDA toolkit/driver experience; open-source development and GitHub community work; strong verbal and written communication skills.

This is a remote position with a salary range of 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, plus equity and benefits. Applications are accepted until July 28, 2026. NVIDIA is an equal opportunity employer and values diversity.

NVIDIA is seeking a Senior DevOps Engineer to join the Analytics and Data Intelligence Engineering Operations team, supporting RAPIDS, the GPU-accelerated open-source data science suite. The role involves collaborating with build engineers, developers and management to deliver high-quality software, developing and modernizing packages (including Python wheels), and designing and maintaining container build processes. You will lead hands-on DevOps initiatives across CI/CD, observability, security/compliance, and system administration, and you will operate and maintain infrastructure while helping inform hardware purchasing decisions.

Requirements include a BS in Computer Engineering, Computer Science, or a related field (or equivalent experience); 8+ years of DevOps experience; proficiency with scripting (Bash and Python); experience with Conda and/or PyPI packaging; Docker/containerization; CI/CD tooling (Jenkins, Git, GitHub Actions); cloud services (AWS, Azure) and cost management; and Linux administration (Ubuntu preferred). Nice-to-have: CUDA toolkit/driver experience; open-source development and GitHub community work; strong verbal and written communication skills.

This is a remote position with a salary range of 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, plus equity and benefits. Applications are accepted until July 28, 2026. NVIDIA is an equal opportunity employer and values diversity.