{"id":1959401,"url":"https://alion.io/job/google-image-sensor-engineer","title":"Image Sensor Engineer","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":110,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-07T05:47:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":126000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2843},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":true},{"name":"Machine Learning","optional":true},{"name":"MATLAB","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-06T13:09:20Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-07T23:32:44Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nBe 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDerive ERS (Engineering Required Specification) and image sensor handbook for the Mobile, Home and AR/VR applications.\nTest, 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.\nDerive 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.\nSet-up new test environments and equipment to perform robust, reliable and consistent test results regardless of time, place and people.\nWork with the cross functional teams to ensure the smooth and flawless integration of image sensors into the final products.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Electrical Engineering, imaging related fields, or equivalent practical experience.\n2 years of experience with imaging sensors, image processing, camera tuning.\n2 years of experience working in complementary metal-oxide-semiconductor (CMOS) imaging/electro optical systems.\nPreferred qualifications:\nMaster's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.\nExperience translating system requirements to sensor specifications and down-selecting image sensors for products (electrical, optical, sensor etc.).\nExperience scripting in MATLAB/Python.\nKnowledge of FPGA, SPAD, ISP, major SOC platforms, computer vision, or machine learning.\nBasic knowledge of 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