Senior Software Engineer, ISP and ML, Image Quality Tuning System
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Summary
Senior engineer on Google's Android camera team who designs ISP software frameworks and automated infrastructure to streamline the end-to-end image/video quality tuning pipeline, integrating ML-based image quality evaluation into production smartphone camera stacks. Core tech: C++, machine learning/AI, and image processing.
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).