NVIDIA RAPIDS isan open-source software suite that leverages NVIDIA GPUs to accelerate data science and machine learning workflows. It provides a collection of libraries and APIs that enable users to perform tasks like data manipulation, machine learning, and graph analytics entirely on GPUs, offering significant speedups compared to traditional CPU-based processing. RAPIDS supports customers and partners ranging from individual data scientists to the world’s largest supercomputers and Fortune 500 companies. This team supports the Data Science engineering team, including RAPIDS, an open-source GPU-accelerated data science platform that speeds up pandas, scikit-learn, and NetworkX workflows, along with NeMo Retriever for AI retrieval pipelines and NeMo curator for processing text, image, and video data at scale for AI model training. We support 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 across the world. We are looking for a hardworking manager to lead NVIDIA’s Data Science Engineering Operations team, supporting multiple engineering teams working on data science (and adjacent) libraries such as RAPIDS. As a manager, you’ll have the opportunity to help support and grow the RAPIDS project. You will work closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries as well as containers. - Lead a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of them open-source - Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software - Lead by doing, taking a hands-on approach working with the engineers on the team - Help lead a range of DevOps initiatives, including CI/CD, security/legal compliance, and SysAdmin - Help to operate and run our infrastructure and development processes - Bachelor of Science in Computer Engineering, Computer Science, or related technical field, or equivalent experience - 8+ overall years of technical experience primarily related to DevOps with 3+ of those years as a team or technical leader - Excellent communication and interpersonal skills - Detail-oriented and comfortable supporting and prioritizing amongst 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) - You have worked with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management - Experience with NVIDIA’s technology stack, including CUDA toolkit and drivers - Background with Conda and/or PyPI packaging, and container technologies such as Docker, especially building and publishing - Experience with GitHub operations, including user, repository, and organization management and permissions along with open-source development and community building on GitHub NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 3, and 248,000 USD - 396,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025.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.#deeplearning JR1999434