We are looking for a hardworking member of NVIDIA's Analytics and Data Intelligence Engineering Operations team, supporting multiple engineering teams working on data science (and adjacent) libraries such as RAPIDS.
RAPIDS is the open-source suite for GPU-accelerated data science, spanning from ETL and data transformation to visualization, graph analytics, and machine learning. RAPIDS supports customers and partners ranging from individual data scientists to the world's largest supercomputers and Fortune 500 companies. As a DevOps Engineer, 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.
What you'll be doing:- Work in a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of them open source
- Manage cutting-edge hardware and help inform purchasing decisions for the team
- Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software
- Develop and modernize packages, such as streamlined Python wheels, for RAPIDS data science libraries
- Design and maintain container build processes
- Take a hands-on approach working with engineers on the team to implement DevOps best practices
- Execute on a range of DevOps initiatives including CI/CD, observability, security/legal compliance, and SysAdmin tasks
- Operate and maintain our infrastructure and development processes
What we need to see:- Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent experience
- 8+ years of technical experience primarily related to DevOps
- Proven experience in programming and automation with scripting languages (Bash and Python preferred)
- Experience with Conda and/or PyPI packaging, especially building and publishing
- Experience with container technologies such as Docker, especially building and publishing
- 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)
- You have worked with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management
- Linux system administration experience (Ubuntu strongly preferred)
Ways to stand out from the crowd:- Background with NVIDIA's technology stack, including CUDA toolkit and drivers
- Experience in software development, build, and/or related DevOps
- Experience with GitHub operations, including user, repository, and organization management and permissions
- Prior work with open-source development and community building on GitHub
- Strong verbal and written communication skills
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
