Senior Engineer, Build and DevOps - ADI

NVIDIA•US, NY, Remote, WA

6d•$184,000 - $356,500

About The Position

NVIDIA is seeking a Senior Engineer, Build and DevOps to join its Analytics and Data Intelligence Engineering Operations team. This role will support multiple engineering teams working on data science libraries such as RAPIDS, an open-source suite for GPU-accelerated data science. The engineer will work closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries, as well as containers. The position offers the opportunity to support and grow the RAPIDS project.

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)
Worked with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management
Linux system administration experience (Ubuntu strongly preferred)

Nice To Haves

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

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