Nvidia Senior Infrastructure Software Engineer 

China, Shanghai 

719818503

Architect, develop, and maintain Python-based tools and services to efficiently run a performance-focused multi-tenant Linux cluster including embedded, desktop, and server systems

Work with industry standard tools (Kubernetes, Slurm, Ansible, Gitlab, Artifactory, Jira)

Actively support users doing development, functional testing, and performance testing on current and pre-production GPU cluster systems

Work with various teams at NVIDIA across different timezones to incorporate and influence the latest tools for operating GPU clusters

Collaborate with users and system administrators to seek out ways to improve UX and operational efficiency

Become an expert on the entire AI infrastructure stack

BS or higher degree in computer science with 4+ years of relevant experience

Adept programming skills in multiple languages including Python

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. GitlabCI)

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

Deep understanding of Linux system administration and container technologies

Proficient English communication skills

Experience automating operations for bare-metal clusters

Experience with GPU computing 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