Job Title: Manager, Data Science Engineering Operations

Position Overview

NVIDIA is seeking a hardworking Manager to lead its Data Science Engineering Operations team. This team supports multiple engineering teams working on data science and adjacent libraries, including the open-source RAPIDS suite. RAPIDS leverages NVIDIA GPUs to accelerate data science and machine learning workflows, offering significant speedups for tasks like data manipulation, machine learning, and graph analytics. The team also supports NeMo Retriever for AI retrieval pipelines and NeMo curator for processing text, image, and video data. Responsibilities include supporting CI/CD systems, infrastructure deployment and maintenance, build systems, and security compliance, working closely with build engineers, developers, and leadership to ensure the delivery of high-quality software used by data scientists and AI developers globally.

Responsibilities

• Lead a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of which are open-source.
• Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software.
• Take a hands-on approach, working with engineers on the team to lead by example.
• Help lead a range of DevOps initiatives, including CI/CD, security/legal compliance, and SysAdmin tasks.
• Assist in operating and running infrastructure and development processes.
• Support and grow the RAPIDS project by working closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries, as well as containers.

Requirements

• Bachelor of Science in Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
• 8+ years of overall technical experience, primarily related to DevOps.
• 3+ years of experience in a team or technical leadership role.
• Excellent communication and interpersonal skills.
• Detail-oriented with the ability to support and prioritize among multiple teams.
• Experience with administration, optimization, and troubleshooting of CI/CD and related tools (including Jenkins, Git, GitHub Actions).
• Linux system administration experience (Ubuntu strongly preferred).
• Knowledge of programming and automation with scripting languages (Bash and Python preferred).

Ways to Stand Out

• Experience with cloud services (AWS, Azure, and others), particularly in permissions, budget, and cost management.
• Experience with NVIDIA’s technology stack, including CUDA toolkit and drivers.
• Background with Conda and/or PyPI packaging.
• Experience with container technologies such as Docker, especially building and publishing.
• Experience with GitHub operations, including user, repository, and organization management and permissions.
• Experience with open-source development and community building on GitHub.

Company Information

NVIDIA is recognized as one of the technology world's most desirable employers, attracting forward-thinking and hardworking individuals. If you are creative and autonomous, NVIDIA encourages you to apply. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

Salary & Benefits

• Salary Range: $208,000 - $396,750 USD (base salary determined by location, experience, and pay of similar positions).
• Additional Compensation: Eligible for equity and benefits.

Application Instructions

NVIDIA accepts applications on an ongoing basis.