Senior Deep Learning Frameworks Sustaining Engineer

In this role, responsibilities will include back-porting changes from the mainline branch, keeping track of open source dependency changes, and ensuring the latest stable dependencies are being used for our enterprise products. You will actively contribute changes to the team to support timely Long Term Support releases for the TensorFlow, PyTorch, TensorRT products. The scope of these efforts includes fixing customer reported bugs, integrating bug fixes found in mainline and working with other teams to ensure open source dependencies are patched for security vulnerabilities to address the needs of NVIDIA AI Enterprise business subscribers. What we need to see: Bachelors of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or related field or equivalent experience. 5+ years of relevant software development experience Excellent C/C++ programming and software design skills, including debugging and open source integration. Python experience also helpful. Utilizing tools involved in building software (Make, Docker, Bazel), packaging systems (Debian, pip, npm, etc.), Build Systems (Gitlab, CI/Jenkins). Prior experience with machine learning algorithms and frameworks (TensorFlow, PyTorch, or MXNet). Ability to work independently, contribute to the stability of releases, and effectively communicate status to those involved in the release in a detail-oriented way. Experience with contributions to or managing large open source project - use of github, bug tracking, branching and merging code, OSS licensing issues, managing patches, etc.