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Nvidia Senior Infrastructure Software Engineer Deep Learning Libraries 
United States, California 
113215526

02.07.2025
US, CA, Santa Clara
time type
Full time
posted on
Posted 13 Days Ago
job requisition id

What you'll be doing:

  • Designing and developing software for testing and analysis of our codebases

  • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries

  • Developing throughout the software stack, from the user experience and user interfaces down to the cluster and database layers

  • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.)

  • Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies

  • Advancing the state of the art in those industry-standard tools

What we need to see:

  • A Masters Degree in Computer Science or Computer Engineering or equivalent experience.

  • 3+ years of relevant experience

  • Strong programming skills in Python (or similar) and familiarity with C/C++ development

  • Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps)

  • Experience in HTML5, CSS, NodeJS, or React

  • Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)

Ways to stand out from the crowd:

  • Experience designing and developing automation in Jenkins with Groovy (or similar)

  • Background with distributed systems and cluster/cloud computing, especially with Kubernetes

  • Experience designing and developing unit and integration test frameworks

  • Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)

  • Track record of identifying useful new technologies and incorporating them into SW development flows

You will also be eligible for equity and .