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Experiences with deep learning algorithms, object detection, sensor fusion, SLAM or unsupervised/self-supervised are preferred. Familiar with one or more of the following areas: object detection, computer vision, sensor fusion, SLAM, un/self-supervised learning.
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Ideal candidates will also have experience in statistical signal processing and its application to sensor data or experience leveraging the latest techniques in deep learning for computer vision.
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Work with the perception team to design, develop, and deploy computer vision and machine learning components for robotics on integrated hardware (like Nvidia Jetson and Intel Myriad) Experience in optimizing computer vision or machine learning systems for integrated hardware like NVIDIA Jetson, Qualcomm RB5, Intel Myriad, etc.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Research, design, develop and evaluate advanced image processing and computer vision algorithms for a real-time computer vision pipeline including but not limited to camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor fusion.
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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. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Integer seeks a Perception Software Engineer with prior experience in sensor system design and development of algorithms and software to fuse multiple sensors (cameras, radar, IMU, and AIS) into an integrated perception system that enables unmanned surface vessels (USVs) to perceive and comprehend their surrounding operating environment.
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The RF Microsystems department (5211) is seeking a mid-career R&D Microwave and Sensor Engineer to design, fabrication, test, qualification and delivery of custom designed microwave components.
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To succeed in this position, one should be familiar with and understand one or more of the following: electromagnetics, communications, optics, receiver architecture, advanced signal processing techniques, sensor modeling, and/or sensor performance validation.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Design, prototype, and implement robust algorithms for perception problems involving the key areas of deep learning for object detection, segmentation, and multi-sensor fusion. Proven expertise in deep-learning frameworks, e.g., PyTorch, Tensorflow, etc.
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Experience with sensor calibration, sensor fusion, state estimation, and SLAM (Simultaneous Localization and Mapping) techniques. Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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A minimum of 5 years of experience as a Hardware Engineer with a focus on sensor technology, camera and optical systems, lidar, and/or laser technology. The ideal candidate will have a strong background in sensor technology for infrared cameras, LIDAR, and/or Lasers.
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Responsibilities:Perform failure analysis of OmniVision Image Sensor and ASIC components. Description OmniVision Technologies, Santa Clara is looking for a Failure Analysis Engineer to join our engineering team.
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Participate in development phases from detailed requirements flow down, trade studies, processing architecture design, hardware selection, firmware and software development, sensor and payload integration and test, spacecraft integration and test, and on-orbit support.
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As the Principal Image Sensor Technology Engineer in the Office of the CTO at OMNIVISION (OVT), you will drive the systems development of CMOS Image Sensors. CMOS image sensor, camera systems, Image Signal processing and/or Digital Signal processing, optics, electro-optics or related field preferred.
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sensor engineer learning jobs Company: Aurora Innovation
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