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Image Tuning Engineer, Pixel Camera
View: 103
Update day: 05-11-2024
Location: Xindian District New Taipei City
Category: Other IT - Software High Technology Mechanical / Technical Electrical / Electronics
Industry: Information Services Technology Information Internet
Job type: Full-time
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Job content
Google welcomes people with disabilities.Minimum qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
- 2 years of experience in developing hardware IP, ISP algorithms, image pipelines, consumer camera, or computational photography techniques.
- 5 years of experience in end-to-end imaging system tuning and quality evaluation including imaging hardware, image signal processing and post-processing imaging algorithms.
- Experience coding in C/C++/Python.
- Knowledge of camera imaging pipeline, and imaging algorithms.
- Knowledge of image quality metrics.
In this role, you will design excellent features and functions of image systems to make Android cameras pleasant and useful in versatile products. You will be involved in camera processing tuning and design, including but not limited to image quality tuning, automatic system development to optimize the tuning and calibration process, new algorithms and features evaluation, and related lab plans.
The Google Pixel team focuses on designing and delivering the world’s most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. 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.
Responsibilities
- Work with Architecture, Image Quality, Software and Tuning teams to develop solutions to achieve quality goals and commercialize real products.
- Work cross-functionally with Hardware teams to support algorithm implementation and optimization.
- Develop automatic processes to improve coverage and make the tuning process more efficient.
- Develop Image Signal Processing (ISP) tuning methods and tools for novel pipelines.
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Deadline: 20-12-2024
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