Senior Engineer, Build and DevOps - ADI

NVIDIA is widely considered to be one of the 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! 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

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.