Senior Photonic Engineer, Machine Learning - Google Careers
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Senior Photonic Engineer, Machine Learning
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corporate_fareGoogleplaceSunnyvale, CA, USA
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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Minimum qualifications:
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About the job
As a Photonic Engineer for machine learning systems, you will be responsible for creating next generation optical interconnect technologies for Tensor Processing Unit (TPU) systems. You will work with both the optics team and machine learning team to lay out the optical technology roadmaps to scale future generation machine learning systems.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.
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Design low-cost and high-speed optical transceivers for data center applications.
Develop optical systems and architectures to scale Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) superpods.
Identify, research, and evaluate emerging photonic networking technologies.
Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.
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.
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