Senior Engineer Build and DevOps - ADI

NVIDIA•Santa Clara, CA

17h

About The Position

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 work 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: Experience 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 February 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Requirements

Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent work 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)

Nice To Haves

Experience 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