Minimum qualifications: + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. + 8 years of experience with image quality evaluation of camera ISP, display subsystems, machine learning based image processing, computational photography, or related fields. + Experience in subjective and objective image quality evaluation of camera ISP, display subsystems, or related algorithms. + Experience in image quality assessment tools such as Imatest or similar. Preferred qualifications: + Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. + 12 years of experience in image quality evaluation of camera ISP, display subsystems, or related fields. + Experience with camera algorithms and architecture. + Experience with programming languages such as C/C++ or Python. + Knowledge of machine learning, deep learning, generative AI models for image/video processing. + Understanding of image quality metrics. Be part of a 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 evaluate and improve the image and video quality of camera ISP, display subsystems, with a focus on Video ML and Generative AI image quality. You will have a deep understanding of image processing, machine learning based image processing, computational photography, camera ISP, or display technologies, as well as experience in image quality evaluation. You will be able to develop new image quality evaluation methodologies for emerging video ML and generative use cases. Additionally, you will work closely with the advanced Research and Development, Machine Learning and a number of other partner teams. You will have excellent collaboration, influencing and leadership skills. 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. The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) . + Evaluate camera ISP, display, camera Video ML algorithms and identify areas for improvement to enhance image quality. + Develop image quality evaluation methodologies for emerging Video ML and Generative AI use cases. + Conduct objective and subjective image quality assessment to identify image artifacts, noise, and other image quality issues, then propose improvements. + Collaborate with cross-functional teams to define and address image quality issues throughout the development process. + Maintain image quality standards and testing methodologies to ensure consistency and repeatability of image quality evaluations. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.