Test Design Engineer II, Optics and Display

1 Month ago • 3 Years + • Quality Assurance

Job Summary

Job Description

This role involves designing, developing, and implementing factory test stations for display and optics at Google. Responsibilities include owning optics/display test stations, analyzing performance data, ensuring smooth test station implementation from prototype to mass production, collaborating with manufacturing partners, and contributing to general test framework improvements. The ideal candidate will have 3+ years of experience as a design or test engineer in consumer electronics, with expertise in Final Assembly, Test and Pack (FATP) processes, software/hardware debugging, and optics/display. Google's approach to testing emphasizes automation and proactive problem identification.
Must have:
  • Bachelor's degree in relevant field
  • 3+ years experience in design/test engineering
  • FATP test process experience
  • Software/hardware debugging skills
  • Optics/display/computer vision experience
  • C/C++/C#/Python coding skills
Good to have:
  • Near-eye display testing experience
  • Optics/display/AOI manufacturing testing
  • AI/ML, AR/VR/MR knowledge
  • Model optimization or deep learning expertise

Job Details


Minimum qualifications:

  • Bachelor's degree in optical engineering, computer science, or equivalent practical experience.
  • 3 years of experience as a design or test engineer in the consumer electronics manufacturing industry with experience in Final Assembly, Test and Pack (FATP) test processes.
  • Experience in software and hardware debugging, troubleshooting, and failure analysis.
  • Experience in one of the following coding languages: C/C++/C#/Python.
  • Experience in optics, display, or computer vision.

Preferred qualifications:

  • Experience in near-eye display testing.
  • Experience in optics/display/AOI manufacturing testing.
  • Knowledge in one or more of the following areas: AI Machine Learning, Augmented Reality(AR)/Virtual Reality(VR)/Mixed Reality(MR).
  • Knowledge of model optimization or efficient deep learning techniques.

About the job

At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. 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.

Responsibilities

  • Design, develop, and implement factory test stations with a focus on display and optics.
  • Own optics/display test stations including test script and algorithms, review and statistically analyze performance, yield, parametric data, GRR correlation and other associated quality metrics. Ensure smooth bring up of test stations and resolution of any related issues from xVT to mass production.
  • Work with contract manufacturing (CM), joints design manufacturing (JDM), original equipment manufacturing (OEM), original device manufacturer (ODM) partners and module suppliers, and ensure tests are implemented properly across different factories.
  • Make other organizational level contribution including general test framework improvements, data dashboard improvements, devices image validation and improvements.

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