Write product or system development code.

Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.

Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Build and test software in C++ for use on Google's ML library solutions, and develop next generation AI/ML networking solutions and smart Network Interface Cards (NICs) at Google, while taking the projects through development into production.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in C++, or 1 year of experience with an advanced degree.

3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

3 years of experience in working with embedded operating systems.

Experience with network protocol implementation for high-bandwidth, low-latency environments such as AI/ML clusters.