About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Electrical Engineering, Computer Science, Imaging

Science, Physics, or a related field, or equivalent practical experience.

* 2 years of experience in Image Quality, Computer Vision, or a related

technical field.

* 2 years of experience in Python and C++ for algorithm development and

implementation.

PREFERRED QUALIFICATIONS:

* Master’s degree, or PhD in a related field.

* 3 years of professional experience in a related field.

* Industry experience in SoC/ISP constraints, 3A tuning, or the application of

Deep Learning to real-time imaging pipelines.

* A proven track record of delivering high-quality, commercial, market-facing

consumer cameras.

* A strong track record of self-driven learning and the capability to rapidly

master new technologies and domains.

* 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.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 about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.

Which skills does this role require?

PythonC++Machine LearningComputer VisionImage QualityAlgorithm DevelopmentCalibrationBenchmarkingSoftware EngineeringHardware IntegrationImaging Machine Learning EngineerElectrical EngineeringComputer ScienceImaging SciencePhysicsSoftware StackMachine Learning Automation

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