What are the responsibilities and job description for the Engineer, Computational Imaging and Camera Algorithm position at Samsung Research America?
Lab Summary:
Mobile Processor Innovation (MPI) Lab, Samsung Research America, serves research and development needs for Mobile Communications Business of Samsung Electronics, which leads the global market with innovative technology and design, launching breakthrough products like the Galaxy Fold series, Galaxy Note series, and the Galaxy S series of mobile phones. Our team works hard to create and develop next-generation technologies in the pursuit of continued success as the world’s number one handset provider.
Position Summary
Samsung MPI Lab is currently looking to fill positions in the computational imaging and camera algorithm R&D roles; and work on problems using AI technology to enhance the mobile camera experience. As part of the team, you will be responsible for creating cutting edge algorithms and technologies that significantly enhance the camera experience such as low light photography, under display camera, AI enhanced photography, and etc. By creatively applying AI, Computational Photography and deep learning techniques, you will contribute to taking the user experiences on Samsung Mobile products to the next level. You will also work on demonstrating efficient implementations on upcoming Galaxy mobile platforms by using the hardware’s resources in new and creative ways. You will work with worldwide team to develop product quality solution and make business impact by delivering the solution in products. The projects at MPI lab are part of Samsung Mobile’s global R&D effort and have direct impact on future Samsung Mobile products reaching hundreds of millions of users worldwide.
Position 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
Required Skills:
- Ph.D. in Computer Science/Electrical Engineering/Computer Engineering or equivalent combination of education, training, and experience in computational imaging
- 1 years of 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
Desired Skills and Experience:
- 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
