Camera Auto Exposure Engineer, Android Camera Image Design

Updated 30 days ago

Job Description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Xindian District, New Taipei City, Taiwan; Taoyuan, Taoyuan District, Taoyuan City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan 302.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience
  • 2 years of experience with Auto Exposure (AE) algorithms and tuning for mobile products
  • Experience coding in C/C++
  • Experience in developing AE algorithms, tuning, image benchmark, and numerical analysis consumer camera, and/or computational photography techniques

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience
  • 5 years of experience in AE
  • Experience in automation, numerical image analysis, tool development, and/or familiarity of image metrics
  • Knowledge of coding with Python
  • Understanding of machine learning or image/video processing algorithms for consumer photography or mobile applications

About the job

The Google Pixel team designs and builds mobile devices and services that are inspirational and showcase the potential of the Android platform. In this role, you will support Google Pixel phones and continue to raise the quality and innovations with Google Pixel cameras.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

  • Evaluate the Auto Exposure (AE) architectural design and algorithms for digital photography, computer insight, or machine intelligence scenarios and commercialize features to set tuning strategy for Google products and features.
  • Invent AE algorithm functions suitable with different camera sensors, modules, and features. Set up tuning strategies and required tests for validating image tuning and manage final image quality tuning of Android camera products.
  • Work with development teams and stakeholders to efficiently understand, cooperate and set AE strategies to new features like HDR.
  • Develop automation structure, simulator, and tool to empower tuning efficiency.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Google Taiwan

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About us

Google’s mission is to organize the world‘s information and make it universally accessible and useful.

Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.


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