Auto White Balance Engineer, Android Camera Image Design

작업 내용

Google welcomes people with disabilities.

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.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 2 years of experience in Auto White Balance (AWB) tuning for mobile products.
• Experience in developing AWB 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 industry experience in AWB.
• Experience with coding in C, C++, and/or Python.
• Understanding of machine learning or image/video processing algorithms for consumer photography or mobile applications.
  
  

About The Job

As an Auto White Balance Engineer, 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

• Invent AWB algorithm functions suitable with different camera sensors and modules, set up tuning strategies and required tests for validating image tuning, and manage final image quality tuning of Android camera products.
• Evaluate the AWB 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.
• Work with 3A/Internet Service Provider (ISP) development team and stakeholders to efficiently understand, cooperate, and set AWB tuning strategies to new features.
• Develop automation structure, simulator, and tools 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 .