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.

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.