NVIDIA is a leading technology company known for its innovative work in AI and data science. The Senior Engineer, Build and DevOps role involves supporting multiple engineering teams working on data science libraries such as RAPIDS, focusing on build, development, and DevOps practices to ensure high-quality software releases. This role requires collaboration across teams to manage infrastructure, automate processes, and maintain container and package builds.
Responsibilities:
- 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
Requirements:
- 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)
- 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