Silicon Tech Lead, Image Quality

工作内容

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 10 years of industry experience or equivalent practical experience in Image quality.
• Experience with Image Signal Processor (ISP) pipelines, 3A, and image quality tuning for ISP.
• Experience in accessing visual quality using objective metrics.
  
  

Preferred qualifications:

• Master’s degree or PhD in Electrical Engineering or Computer Science.
• Experience in accessing visual quality using subjective techniques.
• Understanding of color science and human perception.
  
  

About The Job

Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people’s lives better through technology.

Responsibilities

• Work with Image Quality and manage teams to advance Image Quality in silicon for consumer cameras made by Google.
• Establish metrics, methodologies, and best practices for subjective and objective image quality evaluation at all stages of ISP development.
• Guide the algorithm choices to make optimal trade-offs between Image quality relative to product requirements, area, power, and performance considerations.
• Partner with Algorithm teams in designing tunability of image processing and computational photography algorithms, and supervise the development of tuning collateral required by Product teams.
• Partner with Product teams in delivering image and video quality to the full potential of the hardware products.
  
  

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 .