EDA/CAD Custom Tool Development Engineer, Google Cloud

Join Google Cloud as an EDA/CAD Custom Tool Development Engineer and shape the future of AI/ML hardware acceleration. This role focuses on developing cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of an innovative team developing custom silicon solutions for Google's TPU infrastructure.

The position combines hardware design expertise with software development, requiring strong programming skills in Python and C++. You'll work closely with the Google Deepmind team to incorporate AI/ML techniques into chip design methodology and collaborate with Chip Project teams to standardize methodologies across different functional areas.

As part of the ML, Systems & Cloud AI (MSCA) organization, you'll contribute to the infrastructure that powers all Google services and Google Cloud. The role involves leading complex technical projects from conception to completion, developing tools that rely on AI/ML techniques, and driving end-to-end chip design process improvements.

The impact of this role extends to Google's global infrastructure, including the development of TPUs and running a global network. You'll be at the forefront of hyperscale computing, contributing to products like Google Cloud's Vertex AI platform and working with Gemini models for enterprise customers.

This is an excellent opportunity for someone with strong technical skills in both hardware and software development, who wants to make a significant impact on Google's chip hardware development process while working with cutting-edge AI/ML technologies.