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Nvidia Senior Infrastructure Software Engineer Deep Learning Libraries 
United States, Texas 
714178011

18.08.2024

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 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)

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

What we need to see:

  • BS or equivalent experience or higher degree in Computer Science or Computer Engineering

  • 5+ 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

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

  • A pragmatic approach to solving problems and collaboration

  • Passion for “it just works” automation and enabling team members

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

  • Hands-on experience with code coverage and static code analysis tools

  • Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar)

You will also be eligible for equity and .