Senior Infrastructure Software Engineer, Deep Learning Libraries

Role responsibilities

Design and develop scalable infrastructure and automation for the build, test, and release processes of deep learning libraries. Create software for testing and analysis across diverse platforms ranging from autonomous vehicle systems to datacenter servers.

Requirements

Requires a Master's degree in Computer Science or Engineering and 3+ years of experience with strong Python and C/C++ skills. Candidates must have experience with CI/CD systems, web technologies, and distributed systems like Kubernetes.

Key skills

Python, C/C++, Kubernetes, Jenkins, Docker, CMake, Gitlab, HTML5, CSS, NodeJS, React, Git, Perforce, Bazel, Distributed Systems, Continuous Integration

Keywords

Deep Learning, cuDNN, TensorRT, CUDA, Infrastructure, Automation, Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, HTML, CSS, JavaScript, Python, C++, GitHub Actions, Azure DevOps, Git, Perforce, Bazel, Distributed Systems, Cloud Computing, Groovy, Unit Testing, Integration Testing, Ubuntu, RedHat, Windows