Senior Image Quality Tuning Engineer, Silicon at Google

New Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Image Quality Tuning, Camera ISP, Image Processing, C/C++, Python, Project Leadership, Cross-Functional Collaboration, DxO Tuning, Algorithm Evaluation, Image Quality Improvement, Silicon Development, Multimedia Systems, Technical Project Management, Color Optimization, Noise Reduction, Dynamic Range

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor's degree in Electrical Engineering, Computer Science, Image Processing, or equivalent practical experience. * 8 years of experience in camera ISP image quality tuning or development for mobile camera ISP. * Experience in product development lifecycle for mobile phones, with camera features. * Experience in programming languages such as C/C++ or Python for image processing and automation tasks. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Electrical Engineering, Computer Science, Image Processing, or a related field. * 10 years of experience in image processing algorithms, with contributions to mobile camera ISP development, tuning or evaluation, including 3A algorithms. * Experience in leading or contributing to mobile ISP DxO tuning projects, with a portfolio showcasing image quality achievements. * Experience in project leadership or managing technical projects, within an image quality domain, including planning, execution, and cross-functional stakeholder communication. * Experience with the IC design flow and the development of multimedia silicon. ABOUT THE JOB: Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. In this role, you will be responsible for the tuning and evaluation of image quality across our camera ISP and other multimedia subsystems. Understanding of the entire imaging pipeline, from image sensors and camera modules to advanced image processing algorithms. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. RESPONSIBILITIES: * Lead the fine-tuning and optimization of image quality parameters—including color, contrast, sharpness, noise reduction, and dynamic range—for camera ISPs and display subsystems. * Conduct evaluation of camera ISP, display, and video codec algorithms, identifying and implementing innovative solutions to enhance image quality. * Perform mobile ISP DxO tuning, driving the visual quality to industry-leading standards and ensuring engaged performance. * Collaborate cross-functionally with Silicon and Pixel teams to optimize image quality at both the block and system level, and resolving issues. * Initiate and manage image quality improvement projects, contributing to strategy, execution, and deliverables for key product milestones.

Responsibilities

The role involves leading the fine-tuning and optimization of image quality parameters for camera ISPs and display subsystems. Additionally, it includes evaluating camera ISP and video codec algorithms to enhance image quality.