The Photonic Engineer, Machine Learning role at Google focuses on developing custom silicon solutions that enhance Google's direct-to-consumer products. The position is part of the Platforms Infrastructure Engineering team, which designs the hardware and software technologies powering Google's services. The engineer will work on complex computational challenges and contribute to the innovation of hardware experiences that deliver high performance and efficiency. This role involves designing optical systems and architectures to support advanced computing systems in data centers.

• 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.

• 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.