Staff Image Quality Evaluation Engineer, Silicon
Company: Google
Location: Mountain View
Posted on: July 1, 2025
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Job Description:
Minimum qualifications: Bachelors 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: Masters 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. About the job Be part of a team that pushes
boundaries, developing custom silicon solutions that power the
future of Googles direct-to-consumer products. Youll 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. Googles
mission is to organize the worlds 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 users 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 peoples 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 . Responsibilities 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.
Keywords: Google, Mountain View , Staff Image Quality Evaluation Engineer, Silicon, Science, Research & Development , Mountain View, California
