Image Processing Engineer, Home Device

Google

3.8

(162)

Taiwan

Why you should apply for a job to Google:

  • 56% say women are treated fairly and equally to men
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.
  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.
  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.
  • #83925593535455942

    Position summary

    Balance (AWB) and Auto Exposure (AE) algorithms, color science.

    About the job

    Be part of a diverse 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.

    In this role, you will work in image quality on Google Nest cameras for surveillance, displays, or other applications. You will engage in product development cycle from the early stage such as vendor System on a Chip (SoC) selection to Image Signal Processing (ISP) performance optimization, automatic exposure/auto white balance algorithm development, and final shipment of the cameras. You will solve issues and ship excellent camera products to the user.

    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

    • Optimize software and hardware parameters for the possible image quality performance on cameras.

    • Test automation, tuning, or other tools for improved productivity and quality, including Machine Learning (ML) assisted tools.

    • Design and implement imaging software development.

    • Develop Auto Exposure/Auto White Balance algorithms and implement them.

    • Work on Image Signal Processor (ISP) pipeline, including IQ benchmark, architectural review, evaluation of individual algorithm blocks.

    Why you should apply for a job to Google:

  • 56% say women are treated fairly and equally to men
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Generous parental and caregiver leave along with fertility and growing family support.
  • Flexible work options that include a hybrid work model, four “work from anywhere” weeks, and remote work opportunities.
  • A chance to be a part of a variety of employee resource groups, community groups, and culture clubs.