Photonic Engineer, Machine Learning Systems, Platforms, PhD, University Graduate

Google's Platforms Team is seeking a Photonic Engineer to join their Machine Learning Systems division. This role sits at the intersection of optical engineering and machine learning, focusing on developing next-generation optical interconnect technologies for TPU systems. The position involves working with both the optics team and machine learning team to create technology roadmaps that will scale future machine learning systems.

The role is part of the ML, Systems & Cloud AI (MSCA) organization, which is responsible for the hardware, software, and infrastructure that powers all Google services and Google Cloud. This team plays a crucial role in developing cutting-edge technologies, including TPUs and global networking systems, while maintaining a strong focus on security, efficiency, and reliability.

As a Photonic Engineer, you'll be working on designing low-cost, high-speed optical transceivers for data center applications, scaling TPU and GPU superpods through optical system design, and exploring emerging photonic networking technologies. The position requires a PhD in Electrical Engineering, Computer Engineering, Physics, or a related field, along with significant experience in optical transmission systems and fiber optical components.

The role offers competitive compensation including a base salary range of $126,000-$181,000, plus bonus, equity, and comprehensive benefits. Located in Sunnyvale, CA, you'll be working at the forefront of machine learning infrastructure, contributing to systems that power services used by billions of people worldwide. This is an excellent opportunity for someone passionate about combining optical engineering with machine learning systems at scale.