Job Description

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

corporate_fare Google place Sunnyvale, CA, USA

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• PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field, or equivalent practical experience.
• Academic, research, or internship experience in digital coherent optical transmission systems and fiber optical components and packaging techniques.
• Experience with high-speed optical transceiver designs, manufacturing, high-speed electronics, and signal integrity in industry, internship, or graduate lab settings.

Preferred qualifications:

• Experience working in data center or hyperscale technical environments.
• Experience with TPU/GPU superpod systems.
• Experience with scripting and test system automation.
• Understanding of data center network architectures.
• Knowledge of signal integrity for high-speed interfaces and best practices for accurate SI data collection.

About the job

The Platforms Team designs and builds hardware, software, and networking technologies powering Google's services. Google's machine learning systems utilize advanced optical transceiver and switching technologies to scale and interconnect TPU and GPU processors.

As a Photonic Engineer for machine learning systems, you will develop next-generation optical interconnect technologies for TPU systems, collaborating with optics and machine learning teams to develop optical technology roadmaps for future systems.

Responsibilities

• Design low-cost, high-speed optical transceivers for data centers.
• Design optical systems to scale TPU and GPU superpods.
• Research and evaluate emerging photonic networking technologies.
• Explore optical innovations to disaggregate and enhance future computing systems.

Google is an equal opportunity employer committed to diversity and inclusion. We provide a work environment that is respectful and supportive of all employees.

The US base salary range for this full-time position is $126,000-$181,000 plus bonus, equity, and benefits. Salary ranges depend on role, level, location, skills, experience, and education. Details will be shared during the hiring process.

Note: Listed salaries reflect base pay only; bonuses, equity, and benefits are additional. Learn more about Google's benefits .

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