NVIDIA's Deep Learning Architecture and Libraries group is seeking excellent Software Engineers to design and develop the software stack for our next generation test and development cluster, the core infrastructure that provides a foundation for every stage of our product development. Our mission, which spans both hardware and software, is to consistently deliver the world's fastest deep learning technology stack for applications ranging from autonomous vehicles to training enormous models on supercomputers. Building upon modern DevOps tools, your work will enable GPU architects and deep learning software engineers to work efficiently with a wide variety of systems as they vigilantly seek out opportunities for performance optimization and continuously deliver high quality software.
Join our technically diverse team of GPU architects, software engineers and infrastructure experts to unlock unprecedented deep learning performance in every domain.
What you'll be doing:
Architect, develop, and maintain software and services to efficiently run a state-of-the-art multi-tenant Linux cluster including embedded, desktop, and server systems
Work with industry standard tools (Kubernetes, Slurm, Ansible, Gitlab, Jenkins, Artifactory, Jira)
Assist with cluster operations and system administration
Automate away recurring tasks while employing and advancing best-practices
Support users doing development, functional testing, and performance testing on current and pre-production GPU systems
Tackle the challenges that arise with running the latest hardware in a cluster
Work with various teams at NVIDIA to incorporate and influence the latest tools for operating GPU clusters
Seek out ways to improve the experience of users and operational efficiency
What we need to see:
BS or higher degree in computer science with 5+ years of relevant experience
Adept programming skills in multiple languages including Python and at least one strongly-typed language
Deep understanding of Linux system administration and container technologies
In-depth experience with distributed systems and cluster management stacks (logging, monitoring, scheduling, etc.)
Hands-on experience with continuous integration and deployment tools (e.g. Jenkins)
Outstanding ability to understand users, prioritize among many contending requests, and build consensus
Passion for "it just works" automation, eliminating repetitive tasks, and enabling team members
Ways to stand out from the crowd:
Experience automating operations for bare-metal clusters
Experience with GPU computing systems
Experience with mobile/embedded platforms and multiple operating systems
Track record of identifying useful new technologies or methods and incorporating them into SW development flows
Experience as an active contributor to a SW project involving many developers or as a maintainer of open-source software
NVIDIA is one of the technology world's most desirable employers, and in this role you will have the opportunity to collaborate with forward-thinking and hardworking developers. Are you creative, driven and autonomous? Do you love a challenge? If so, we want to hear from you!
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.