Near Eye Display Metrology Engineer

1 Month ago • 3-7 Years • Research & Development • Quality Assurance • $147,000 PA - $216,000 PA

Job Summary

Job Description

This Near Eye Display Metrology Engineer role involves designing and developing metrology equipment for near-eye display testing at both component and device levels. Responsibilities include performing characterization tests, developing new test metrics and stations, evaluating subsystem and device performance through image quality and radiometric analysis, automating image capture and processing, analyzing and troubleshooting optical metrology tools, and reporting results using data science and statistical methods. The ideal candidate will contribute to the innovation behind Google's direct-to-consumer products, shaping the next generation of hardware experiences.
Must have:
  • Bachelor's degree in relevant field
  • 4+ years experience in Near Eye Display environment (or 3+ with advanced degree)
  • Design & develop metrology equipment
  • Perform characterization tests
  • Analyze & troubleshoot optical metrology tools
Good to have:
  • Bachelor's degree in Optics/Electrical Engineering/Physics
  • Experience in optical metrology methods and instrumentation
  • Experience in a laboratory setting with optical testing equipment
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 4 years of experience working in a Near Eye Display technical environment, or 3 years of experience with an advanced degree.

Preferred qualifications:

  • Bachelor's degree in Optics, Electrical Engineering, Physics, or equivalent practical experience.
  • 1 years of experience in optical metrology methods and instrumentation, including camera and imaging systems.
  • Experience in a laboratory setting working with optical testing equipment.

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $147,000-$216,000 + 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 .

Responsibilities

  • Design and develop metrology equipment for near-eye display testing in components level and device level.
  • Perform characterization tests and contribute to the development of new test metrics, as well as new test stations (where applicable) for prototype subsystems and system (Device level) assemblies.
  • Evaluate subsystem assembly and Device level performance via image quality, radiometric and colorimetric quantities, and compare vs established metrics.
  • Assist in automation of image capture and processing, including development of new strategies and processing algorithms where applicable.
  • Analyze and troubleshoot new optical metrology tools, running repeatability tests, and reporting summarized results using appropriate data science / statistical analyses.

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