Nvidia Infrastructure Software Engineer Deep Learning Libraries 

China, Shanghai 

742423017

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