Software Engineer, Android, Pixel Camera
Xindian District, New Taipei City, Taiwan

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

  • Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;
  • the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

    We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.


  • Develop auto white balance, auto exposure, auto flicker detection / correction, auto scene detection algorithms or any ISP blocks for mobile device cameras.
  • Design methodology for automated tuning / testing / simulation to reduce manual labor.
  • Engage with different sensor and module vendors and incorporate the new technology into Google products. Work with different vendors to integrate the algorithms onto their platforms.
  • Implement, optimize and integrate the algorithms onto target device platforms.
  • Minimum qualifications :

  • Bachelor's degree in Electrical Engineering, Computer Science, relevant technical field or equivalent practical experience.
  • Experience coding in C++.
  • Preferred qualifications :

  • Software development experience in one or more general purpose programming languages such as : C / C++, Java or Python.
  • Practical experience in camera automatic control algorithm development and implementation (e.g., auto white balance, auto exposure, auto flicker detection / correction, auto scene detection).
  • Experiences in ML and TensorFlow.
  • Experiences in working with Android mobile phone.
  • Experiences with a mobile chipset vendors.
  • Knowledge or experience in camera software domains such as camera driver, hal and framework.
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