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Google

Image Sensor Engineer

Mountain View, CA, United States

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Job details

Posting language: English
Posted: Oct 6, 2026

Original job description

Image Sensor Engineer

Share Image Sensor Engineer

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Image Sensor Engineer

Minimum qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, imaging related fields, or equivalent practical experience.
2 years of experience with imaging sensors, image processing, camera tuning.
2 years of experience working in complementary metal-oxide-semiconductor (CMOS) imaging/electro optical systems.

Preferred qualifications:

Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
Experience translating system requirements to sensor specifications and down-selecting image sensors for products (electrical, optical, sensor etc.).
Experience scripting in MATLAB/Python.
Knowledge of FPGA, SPAD, ISP, major SOC platforms, computer vision, or machine learning.
Basic knowledge of image sensor design: pixels, analog readout and serial interfaces.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll 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.

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 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

Derive ERS (Engineering Required Specification) and image sensor handbook for the Mobile, Home and AR/VR applications.
Test, validate and evaluate various image sensors at the board, camera module and device level and FA, EFFA at the different production stages to deliver best-quality image sensors.
Derive the new sensor key matrix, test methodology and algorithm to validate and evaluate image sensors for various applications to assess how the image sensors perform in the real use cases.
Set-up new test environments and equipment to perform robust, reliable and consistent test results regardless of time, place and people.
Work with the cross functional teams to ensure the smooth and flawless integration of image sensors into the final products.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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Skills

Computer science
Electrical engineering
Computer engineering
The MathWorks MATLAB
Python
Machine learning
Research
Recruitment

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