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, smart NICs and develop next generation AI/ML networking solutions as well as smart NICs at Google, while taking the projects through development into production.

Bachelor’s degree or equivalent practical experience.

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

1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

1 year of experience working with embedded operating systems.

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