Image Processing Engineer

Google is seeking an Image Processing Engineer to work on Google Nest cameras for surveillance, displays, or other applications. The role involves engaging in the product development cycle from early stages such as vendor System on a Chip (SoC) selection to Image Signal Processing (ISP) performance optimization, automatic exposure/auto white balance algorithm development, and final shipment of the cameras.

Key responsibilities include:

• Optimizing software and hardware parameters for the best possible image quality performance on cameras.
• Designing and implementing imaging software development.
• Developing Auto Exposure/Auto White Balance algorithms and implementing them.
• Working on Image Signal Processor (ISP) pipeline, including IQ benchmark, architectural review, and evaluation of individual algorithm blocks.
• Creating test automation, tuning, or other tools for improved productivity and quality, including Machine Learning (ML) assisted tools.

The ideal candidate should have a strong background in electrical engineering, computer engineering, physics, imaging science, or color science. Experience in consumer camera image quality development or ISP algorithm development is crucial. Knowledge of Python, C, or C++ programming languages is required, along with coursework in digital image processing or computer vision.

Google's Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. This role offers the opportunity to work on cutting-edge technology and contribute to Google's mission of organizing the world's information and making it universally accessible and useful.