Image Processing Engineer

Image Processing Engineer - Google Careers

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Minimum qualifications Bachelors degree in Electrical Engineering Computer Engineering Computer Science Physics or a specialized field e.g. optics sensors audio or DSP or equivalent practical experience. 2 years of experience working in an image quality computer vision or related technical environment. Experience with Python and C for algorithm development and implementation.

Preferred qualifications Masters degree or PhD in Electrical Engineering Computer Engineering Physics or a related field e.g. optics sensors audio or DSP. Experience with emerging technologies and new technical domains. Ability to solve multi-layered technical problems on their own with a high degree of motivation. Excellent written and verbal communication skills with a demonstrated ability to translate technical concepts into clear actionable insights for cross-functional partners.

About the job The Platforms and Devices team encompasses Googles various computing software platforms across environments desktop mobile applications as well as our first party devices and services that combine the best of Google AI software and hardware. Teams across this area research design and develop new technologies to make our users interaction with computing faster and more seamless building innovative experiences for our users around the world.

The US base salary range for this full-time position is 132000-189000 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 Optimize image quality across the hardware and software stack ensuring hardware capabilities are leveraged through software tuning. Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions. Build software tools utilizing machine learning ML automation to streamline image quality IQ tuning testing benchmarking and calibration workflows.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.

If you have a need that requires accommodation please let us know by completing our Accommodations for Applicants form.

Google is a global company and in order to facilitate efficient collaboration and communication globally English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies Google does not accept agency resumes. Please do not forward resumes to our jobs alias Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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