Photonic Engineer, Machine Learning - Google Careers
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Photonic Engineer, Machine Learning
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corporate_fareGoogleplaceSunnyvale, CA, USA
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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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Minimum qualifications:
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.
About the job
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: $188000 - $275000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
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