Optical Validation Engineer, Google Cloud

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Cloud Computing, Computer Engineering, Computer Networks, Computer Science, Computer Skills, Computer Systems, Data Analysis, Digital Signal Processing (DSP), Electrical Engineering, Electricity, Electronic Measuring Tools, English Language, Equal Employment Opportunity (EEO), Federal Government, Fiber Optics, Genetics, Government, Hardware Configuration Management, Hardware Debugging, Hardware Design, Instrumentation, LabVIEW Programming Language, Laboratory, Laboratory Automation, Laboratory Testing, Linux Operating System, MATLAB, Manufacturing, Manufacturing/Production Testing, Network Architecture/Engineering, Network Configuration Management, Network Operations Center, Network Routers, Network Switching, Network Systems, Network Testing, Operations Management, Optical Engineering, Optical Networking, Optical Transceivers, Optics, Physics, Product Design, Product Testing, Product/Service Launch, Program Planning, Project/Program Management, Python Programming/Scripting Language, Rapid Application Development (RAD), Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Research & Development (R&D), Sales, Scripting (Scripting Languages), Security Architecture, Software Debugging, Software Engineering, Supplier Optimization, Supply Chain Management, Technical Leadership, Technical Support, Telecommunications, Test Automation, Test Lab, Test Plan/Schedule, Test Scripts, Testing, Transceivers, Unix Operating Systems, User Interface/Experience (UI/UX), Validation Plan
LOCATION
Sunnyvale, CA
POSTED
30+ days ago

Optical Validation Engineer, Google Cloud - Google Careers

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Optical Validation Engineer, Google Cloud

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Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

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Minimum qualifications:

  • Bachelor"s degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
  • 1 year of experience in optical transceivers and testing.
  • Experience with lab test and measurement instrumentation (e.g., fiber optic active and passive devices), and with fiber optics components handling and cleaning.
  • Experience working with compute and networking systems such as physical, functional, logical, mechanical, optics, electrical, software, thermal.

Preferred qualifications:

  • Master"s degree in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Experience with Linux/Unix.
  • Experience with lab test automation frameworks.
  • Experience with data center optical transceiver standards.
  • Knowledge of wafer-level and chip-level probe testing and optical lab automation and scripting (e.g., Python, MATLAB, or LabVIEW).

About the job

The Optical Validation Team is responsible for supporting the development, new product introduction (NPI), and post-production testing of optical transceivers, switches, and technologies that power Google Cloud Platforms. We test new optical transceiver designs, unit, environmental, and system qualification of transceivers in a wide array of host networking and compute platforms, optical circuit switches (OCS), and transceiver component design at the wafer level.

As an Optical Hardware Validation Engineer, you will play a key role in the development of Google Cloud network infrastructures. You will be asked to perform testing of novel and complex configurations of networking hardware, and collaborate closely with hardware and software teams to configure lab networks and test infrastructure that evaluate and characterize the performance of cloud computing and networking products. You will support lab maintenance, helping with the day-to-day operations with pride in cleanliness, organization, and safety which plays a key role in the rapid development and support of Google's data center technologies.

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 $108,000-$153,000 + 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

  • Support test development for new and existing optical product designs. Create and execute comprehensive validation plans, ensuring full coverage and quality adherence.
  • Develop and automate optical test instrumentation using Python and vendor APIs, optimizing data acquisition and scripting.
  • Operate wafer probe stations, conduct high-frequency measurements, and analyze wafer data for product validation.
  • Develop automated test scripts, debug hardware/software issues for switch/router/transport platforms. Analyze, troubleshoot, and root cause field failures of optical transceiver modules. Drive issues to closure with the design team to implement preventive measures.
  • Install, test, repair, and validate new and existing hardware and fiber connections. Maintain lab infrastructure, manage equipment, and troubleshoot field failures, ensuring a functional Research and Development (R&D) environment.

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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