Engineer, Computational Imaging and Camera Algorithm
Samsung Research America
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Posted:
April 13, 2023
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Onsite
About the position
The Mobile Processor Innovation (MPI) Lab at Samsung Research America is seeking candidates for computational imaging and camera algorithm R&D roles. The team is responsible for creating cutting-edge algorithms and technologies that enhance the camera experience on Samsung Mobile products, using AI, computational photography, and deep learning techniques. The successful candidate will work with a worldwide team to develop product quality solutions that have a direct impact on future Samsung Mobile products reaching millions of users worldwide. The ideal candidate will have a Ph.D. in Computer Science/Electrical Engineering/Computer Engineering with 1+ yrs. of experience or equivalent combination of education, training, and experience in computational imaging.
Responsibilities
- Identify areas of differentiation and innovation around mobile camera by leveraging new and existing AI, computational imaging, computer vision, and deep learning algorithms in one or more of the following areas: AI pixel processing networks for image restoration, semantic segmentation, optical flow / depth estimation, computational photography applications such as HDR, Super Resolution, image denoising/dehazing, multi-frame-multi-camera computational imaging systems, motion-based computational imaging, high frame rate processing, image stitching and blending and image quality understanding
- Prototype algorithms in Mat lab, C/C++, Python, on PC and embedded platforms
- Write high quality prototype code that can easily be integrated into production system SW by worldwide teams
- Understand the constraints of mobile systems and use that understanding to deliver feasible and efficient algorithms
Requirements
- Ph.D. in Computer Science/Electrical Engineering/Computer Engineering with 1+ yrs. of experience preferred or equivalent combination of education, training, and experience in computational imaging
- Experience in one or more deep learning frameworks
- Hands-on experience in one or more of the following areas: AI pixel processing networks for restoration, semantic segmentation, optical flow / depth estimation, computational photography applications such as HDR, Super Resolution, image denoising/dehazing, multi-frame-multi-camera computational imaging systems, motion-based computational imaging, high frame rate processing, image stitching and blending, image quality understanding and computational optics
- Hands-on experience with embedded implementation of image processing and computational photography algorithms
- Strong communication skills for effective interactions with R&D management as well as peer groups and team members
- Strong algorithm background in image processing and computational imaging
- Ability and willingness to travel internationally
- Familiarity with smartphone and other mobile product development
- Experience with deep learning methods for image processing is a plus
- Understanding of optics and optical systems is a plus
- Experience with computer vision algorithms and vision analytics systems is a plus
- Understanding of inertial sensors and their use for computational imaging is a plus
- Experience with Android, especially in building image processing / computer vision apps is a plus
- Understanding of HLOS layers, Multimedia SW frameworks and compute paradigms is a plus