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We engage in product development cycle from the early stage such as vendor SoC selection, to Image Signal Processing (ISP) performance optimization, automatic exposure/auto white balance algorithm development, and final shipment of the cameras.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Familiarity with spatial image processing and analysis, and geospatial information system (GIS) algorithms.
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Image processing and other digital signal processing in an embedded environment. We engineer, manufacture and market differentiated products and systems used for precision dispensing and processing in a variety of end markets, from packaging to transportation and medical to electronics.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Experience in machine learning, computer vision, and image/signal processing techniques, including a strong background in deep learning such as object recognition, object detection, semantic segmentation, NLP, sequential data processing, audio processing, etc.
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Familiarity with image signal processing techniques and algorithms, including noise reduction, color correction, and image enhancement. Lead the design and development of camera systems and related electronic components, including image sensors, image processors, memory and physical layer and interfaces.
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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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Experience implementing Electro-Optical and Infrared Sensor image and signal processing algorithms to provide solutions for GPS Denied navigation, object location and tracking, and image enhancement.
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Familiarity with sensors, embedded systems, digital signal processing, computer vision/image processing, or guidance, navigation and control (GNC) We are looking for interns with a passion for research in autonomous systems, machine learning, deep learning, reinforcement learning, algorithm development, neural networks, computer vision/image processing, sensing and perception, localization, sensor fusion, high-fidelity dynamic simulation, and aerospace navigation/guidance/control software and hardware development.
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Knowledge of image signal processing and camera systems. Experience with low-level computer vision and image processing techniques. Proven experience as a software engineer, preferably related to video processing or computer vision.
$145,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least one year of patent prosecution experience in one or more of the following technologies: hardware and devices, software, database technology, artificial intelligence, wireless, and image and/or signal processing.
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Have strong analytical skills, experience and interests in applied mathematics, statistics, MR physics, programming (C and Matlab), and signal and image processing. fMRI knowledge and experience and interests in applied mathematics, statistics, MR physics, and signal and image processing.
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The Integrated Systems Division is seeking a Digital Signal Processing Engineer in Las Cruces, New Mexico to research, design, and develop signal and image collection, and processing and dissemination systems.
$101,400 - $183,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with camera calibration, camera pose estimation, perspective-n-point problems, point clouds, 3D reconstruction, Simultaneous Localization and Mapping (SLAM), multi-view geometry, stereovision, homography, perspective projection, and image processing.
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Providing to a deeply rewarding mission through engagement with diverse computer science specialists and specialists in areas like data fusion, signal and image processing, analytics, cloud computing, architectures, and data management and visualization.
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