Photonic Engineer, Machine Learning

Photonic Engineer, Machine LearningLocation Sunnyvale, CA, USA

Experience Level Advanced

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Our Platforms Infrastructure

Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary: $188,000 - $274,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Minimum Qualifications

• 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.

Preferred Qualifications

• PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• Experience with script writing and test and measurement system automation.
• Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling.
• Knowledge of large volume high-speed optical transceiver designs and manufacturing.
• Knowledge of data center network and machine learning system architectures.

Responsibilities

• 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, evaluate emerging photonic networking technologies.
• Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.