Dell Systems Development Engineer (Image Processing / Sensors) in Singapore, Singapore
System Development Engineer (Image Processing / Sensor)
Client Peripherals engineering is responsible for product development of keyboard, mice, headsets, speakerphones, webcams among many other products. We are looking for an experience Image Processing and Sensor Engineer who is responsible for the architecture of the webcam system and its solutions. The candidate is preferably a digital photography enthusiast who has architecture knowledge of digital imaging systems, extensive experience working with image sensor and ISP selection criteria to deliver the best in class image quality webcam.
Develops scientific approaches to characterize the performance of image sensors, collect and analyze data, make recommendations based on optimized design for performance and cost to value
Analyzes IQ (Image Quality), design and implement solutions to optimize image quality in different lightings and user environment
Tunes the IQ in color image pipeline (sensor correction, scaling, Gamma correction, Noise Reduction, Sharpness, Brightness, Contrast, Saturation and 3A (Auto Exposure, Auto White Balance, Auto Focus)
Establishes methodology or best practices for IQ tuning, corelating the quantitative measurement against the subjective user environment
Develops algorithms for improving IQ in areas of color accuracy, 3A, texture, noise reduction and face detection enhancements
Provides subject matter expert advice on sensors, lenses, ISPs and take lead to influence the shaping of future webcam products technologies/products
Evaluates and provides expert feedback on third party webcam image qualities and AI features performances
Degree in Electronic Engineering, Computer Science, Computer Vision, or related fields
Minimum 10 years working experience in the digital image and image processing industries
Deep knowledge in CMOS sensors, technology roadmaps, and applications
Knowledge in ISPs, lenses, and adjacent sensors such as TOF and depth sensors
Experience in modern Machine Learning algorithms, and programming using MATLAB and Python
Experience in image quality tools and equipment such as Imatest, light booths, test charts and spectro-radiometers
Experience in color image pipeline tuning to achieve optimal quantitative and subjective image quality in real-life user environment
Familiar with image quality benchmarking by labs such as DXOmark or similar, analyzes the scores and propose recommendations for improvement
Understand the requirements to meet Unified Communications certifications such as MS Teams and Zoom
Excellent analytical problem-solving skills, communication, and interaction skills to present and articulate subjective image quality ideas to all levels and including non-experts during problem solving sessions
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