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Image Processing Engineer

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Mountain View, CA • Posted Recently
Onsite Full Time HARDWARE_ENGINEERING

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

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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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $190000 (USD) + 15% bonus target + bonus + equity + 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Additional Information

Published
2026-06-04T21:11:25.709Z
Url
https://careers.google.com/jobs/results/87643154236220102-image-processing-engineer/
Jobtype
FULL_TIME
Employer
Google
Languagecode
en-US
Remote
onsite
Isremote
No
Ishybrid
No
City
Mountain View
State
CA
Country
USA
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