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AI Job Summary

Design optical transceivers and systems for data center applications, researching and evaluating photonic networking technologies to scale GPU and TPU infrastructure. Requires a bachelor's degree in electrical engineering, computer engineering, physics, or related field, plus six years in high-speed datacom and five years in digital coherent optical transmissions. Digital signal processing, circuit simulation, and scripting for test automation are essential.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.

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.
  • 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.
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  • Role Photonic Engineer, Machine Learning
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

202K – 263K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 44 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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