The Photonic Engineer, Machine Learning role at Google focuses on developing custom silicon solutions that enhance the performance of Google's direct-to-consumer products. The position is part of the Platforms Infrastructure Engineering team, which is responsible for designing and building the hardware and software technologies that support Google's services. The engineer will work on innovative optical systems and architectures to improve data center applications. This role offers the opportunity to influence the next generation of hardware experiences and contribute to cutting-edge data center technologies.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 6 years of experience working in a high-speed datacom technical environment.
• 5 years of experience in digital coherent optical transmissions.
• PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience is preferred.
• Experience with script writing and test and measurement system automation is preferred.
• Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling is preferred.
• Knowledge of large volume high-speed optical transceiver designs and manufacturing is preferred.
• Knowledge of data center network and machine learning system architectures is preferred.

• Design low-cost and high-speed optical transceivers for data center applications.
• Develop optical systems and architectures to scale TPU and GPU superpods.
• Identify, research, and evaluate emerging photonic networking technologies.
• Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.