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Senior Software Engineer, ISP and ML, Image Quality Tuning System

Google · New Taipei, Banqiao District, New Taipei City, Taiwan, Zhubei, Zhubei City, Hsinchu County, Taiwan · Taiwan

Employer
Google
Requisition id
128052359946216134
First posted (employer ATS)
(13d ago)
First seen by this site
2026-09-23T08:16:56Z
Last verified live
2026-10-06T01:48:14Z
Source
Employer career portal (google)

Job description

In this role, you will design excellent Image Signal Processing (ISP) software frameworks and infrastructure to streamline the end-to-end ISP Image Quality/Video Quality (IQ/VQ) tuning pipeline, ensuring Android cameras are high-performing and intuitive across versatile products. You will be involved in the ISP tuning workflow design, automatic systems development, and IQ/VQ evaluation metrics/model development and integration. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Architect scalable software frameworks and infrastructure to streamline the end-to-end ISP IQ/VQ tuning pipeline. Automate data-heavy workflows, including database management and calibration, to significantly reduce manual effort. Integrate camera image quality algorithms directly into production software stacks, ensuring high-performance execution. Work with the Architecture, Software, Image Quality, and Tuning teams to develop solutions to achieve quality targets and commercialize real products. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++ programming language, and with data structures and algorithms. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with performance, systems data analysis, visualization tools, or debugging. Experience with Machine Learning or AI work. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 1 year of experience in a technical leadership role. Experience in ML model development, image processing, computer vision, or computational photography development (e.g., image signal processing, algorithm design, or image quality evaluation).

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