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, focusing on developing cutting-edge optical interconnect technologies for TPU systems. This role sits at the intersection of optical engineering and machine learning, working within the ML, Systems & Cloud AI (MSCA) organization that powers all Google services and Google Cloud.

The position involves creating next-generation optical interconnect technologies, collaborating with both optics and machine learning teams to develop technology roadmaps for scaling future machine learning systems. You'll be working on designing low-cost, high-speed optical transceivers for data center applications and scaling TPU/GPU superpods.

As part of Google's broader infrastructure team, you'll contribute to the hardware, software, and networking technologies that power all of Google's services. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. You'll be working in Sunnyvale, CA, alongside world-class engineers and researchers in a company known for its innovative approach to technology and machine learning systems.

The ideal candidate will bring expertise in optical transmission systems, fiber optical components, and high-speed electronics, with a PhD in a relevant field. This is an opportunity to shape the future of hyperscale computing and contribute to Google's global impact across software and hardware, including Google Cloud's Vertex AI platform and the deployment of Gemini models to enterprise customers.