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 and upstreaming contributions to the open source community

What we need to see:

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

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

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

Knowledge of GPU computing systems