Senior Infrastructure Software Engineer - Deep Learning Libraries

September 15

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• 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

Requirements

• 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

Benefits

• equity • benefits