Image Quality Analyst and Photographer, Pixel

Image Quality Analyst and Photographer, Pixel corporate_fare Google place Mountain View, CA, USA bar_chart Early Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

Minimum qualifications:

Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience. 3 years of experience working as a photographer/videographer. Experience with systems integration and validation processes.

Preferred qualifications:

Proficiency in C++ or Python programming languages. Knowledge of hardware engineering including design, development, and testing of physical components of a computer/device, and how to interact with the software. Knowledge of computational photography and photonics engineering. Knowledge of hardware architecture design and component interactions, how design choices affect components and systems, standards and protocols, and the ability to navigate trade-offs. Ability to learn technical concepts of imaging processing pipelines. Ability to learn processes involved in programming/updating prototype devices. About the job The US base salary range for this full-time position is $99,000-$140,000 + 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 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 . Responsibilities Partner with the Pixel Camera team, in particular with the Portrait and HDR+ teams on capturing real life images and videos with different devices for image data collection, image quality testing and evaluation. Generate image and video quality reports based on the collected images/videos and provide feedback to the engineering teams. Gather debug data, raw images, logs or video to help evaluate, debug, and improve the feature repeatedly. Capture images and videos across varied and repeatable lighting conditions and environments, casting participants, and deliver qualitative and quantitative image quality feedback to improve various image quality features.