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What you'll be doing:
Driving the infrastructure support for the open-source-first strategy of software development and deployment
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.)
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)
Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)
Ways to stand out from the crowd:
Experience with infrastructure support for Github open-source projects
Track record of active involvement in open-source community
Experience designing and developing automation in Jenkins with Groovy (or similar)
Background with distributed systems and cluster/cloud computing, especially with Kubernetes
Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)
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