Signal and Power Integrity Engineer, Machine Learning

Join Google's ML, Systems, & Cloud AI (MSCA) organization as a Signal and Power Integrity Engineer, where you'll be at the forefront of developing custom silicon solutions for Google's direct-to-consumer products. This role combines hardware engineering expertise with machine learning applications, focusing on ensuring optimal signal and power integrity performance in chip and package design.

You'll work with cutting-edge technology in Google's hardware division, contributing to products used by millions worldwide. The position requires deep technical knowledge in signal and power integrity, microwave theory, and analog circuit design, along with programming skills in Python, Matlab, and C++.

As part of the team, you'll collaborate across multiple disciplines, including Chip Design, IP, System Design, Software, and external vendors. You'll be responsible for driving chip-package-system co-design, performing complex analysis, and optimizing designs for High Performance Computing based on 2.5D/3D package technology.

The role offers competitive compensation ($132,000-$189,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be working in Sunnyvale, CA, contributing to Google's mission of developing next-generation hardware experiences with unparalleled performance and efficiency.

This is an excellent opportunity for someone with a PhD in Electrical Engineering or related field who wants to work at the intersection of hardware engineering and machine learning, making a direct impact on Google's hardware products while working with some of the industry's best engineers and researchers.