The Camera Engineering group is responsible for all research, design, development, test, and qualification of Image Signal Processing (ISP) pipelines.
The Camera Image Quality Engineer is responsible for ongoing evaluation, benchmarking and characterization of ISP and computer vision products.
The primary tasks are Image quality assessment, image evaluation and image bench-marking.
-Works with ISP, camera and computer vision application teams to access image quality and color reproduction.
-Tune ISP parameters for particular sensors to meet image quality objectives and to achieve best image quality under different lighting conditions.
-Develop lab and customer focused image quality tests.
-Develops image quality and color metrics through objective and subjective analysis.
-Assist Customer Support and Customer Engineering teams with camera/ISP bring-up.
-Access customer ISP image quality issues and propose resolutions / improvements.
-Acts as a point of contact and reference for Image quality.
-Responsible for IQ evaluation lab, maintenance of IQ equipment setup, and IQ software tools.
-Works with inter-disciplinary teams for color and image quality evaluation.
- Desirable 5 years’ industry related experience. Preferred in Image processing or Computer vison area.
- Matlab and C/C++ programming .
-Solid understanding of the image signal processing (ISP) pipelines.
-Good knowledge of DSP, signal processing, and digital imaging theory.
-Software engineering degree also considered if IQ related work experience.
-Attention to detail.
-Good mathematics background.
-B.S. or M.S. in Image science, Color Science, Computational Photography, Optics, and/or related fieldsInside this Business Group
Perceptual Computing (PerC) is an organization within Intel tasked with the research, development, and productization of technologies for Natural User Interaction, encompassing both human to machine and human to human experiences. PerC aims to build technologies that would help users to have natural, immersive and intuitive interaction with computers through not only touch interface but also through hand gestures, voice and video. The objective of PerC is to explore consumer-focused hardware and software applications of close-range hand and finger gestures, speech recognition, face recognition and tracking, augmented reality and more.