Imaging Systems Simulation Engineer, Pixel
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Key details
Job Description
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $132000 - $190000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
Develop imaging system simulation tools for Google's consumer hardware products.
Define simulation workflows, capabilities, and performance goals, and validate against real hardware.
Investigate imaging performance goals for multi-camera systems.
Perform experimental evaluations of imaging system performance to validate functionality.
Collaborate with our partners in System Product Design (PD)/Electrical Engineering (EE), Camera Hardware, and XR software teams.
Minimum qualifications:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
2 years of experience working in a imaging systems simulation environment.
Experience with software development in Python and Matlab.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
Experience in one or more of the following: optical design, image sensor design and characterization, photo and video processing pipelines, ISP algorithms, 3D modeling and rendering, computer vision.
Experience developing tools or performing simulation to map imaging hardware design to camera performance metrics.
Excellent written and verbal communication skills.
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
2 years of experience working in a imaging systems simulation environment.
Experience with software development in Python and Matlab.
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