Nvidia Senior Infrastructure Software Engineer Deep Learning Libraries 

United States, Texas 

714178011

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)