Nvidia Senior Infrastructure Software Engineer Deep Learning Libraries 

United States, California 

928258656

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, etc.)

• Enabling new platforms, which may include preparing hardware for testing and enabling testing in automation for new platforms

What we need to see:

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

• 5+ years of relevant experience

• Strong familiarity withPython(or similar) and experience with building C/C++ codebases

• System administration experience maintaining both Linux and Windows systems

• Experience setting up, maintaining, and automating continuous integration systems

• A pragmatic approach to solving problems and collaboration

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

• Knowledge of GPU computing systems

• 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