Image Processing Engineer

Google Mountain View, CA, USA

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related 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.

• 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 independently 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.

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 users’ interaction with computing faster and more seamless, building innovative experiences for users around the world.

The US base salary range for this full‑time position is $132,000‑$189,000 plus bonus, equity, and benefits. The salary range is determined by role, level, and location, and individual pay is based on experience, skills, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

• 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 automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows.

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.

English proficiency is a requirement for all roles unless stated otherwise in the job posting.