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Volunteer Image Processing Engineer Jobs (NOW HIRING)

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a ... Optimize image quality across the hardware and software stack, ensuring hardware capabilities are ...

Sr. Image Processing Engineer

Newton Center, MA · Remote

$107K - $146.90K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing ...

The Video Signal Processing and Algorithms (VSP&A) team is seeking to hire a Senior Image Processing Engineer to solve problems and implement solutions related to infrared image and video quality and ...

Senior Image Processing Engineer

Goleta, CA · On-site

$113.60K - $151.40K/yr

The Video Signal Processing and Algorithms (VSP&A) team is seeking to hire a Senior Image Processing Engineer to solve problems and implement solutions related to infrared image and video quality and ...

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How much do volunteer image processing engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for volunteer image processing engineer in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.
What cities are hiring for Volunteer Image Processing Engineer jobs? Cities with the most Volunteer Image Processing Engineer job openings:
What are the most commonly searched types of Image Processing Engineer jobs? The most popular types of Image Processing Engineer jobs are:
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Image Processing Engineer

Google

Mountain View, CA • On-site

Full-time

Posted yesterday


Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

36th of 183 rated software companies


Job description

Minimum qualifications:
  • Bachelor's 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:
  • Master's 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 Google's 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 user's 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 $132,000-$189,000 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
  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 identity/expression, 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 Google's 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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