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Experience with Imaging EO/IR/RF systems, energy transport, or radar physics, signal processing or discrimination algorithms. As a Senior Signal and Sensor Modeling Engineer , you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space.
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Research and development in ultrasound signal, image, and sensor data processing for unique workflows. Ph. D. in Electrical/Physics/Biomedical engineering with a dissertation topic related to ultrasound imaging or theory.
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The Sensor Command, Control, Computers, Communications, Cyber (SC5) Department is seeking an experienced Principal level electrical engineer in the development and implementation of FPGA based designs for control and/or signal processing radar applications.
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Familiarity with one or more of the following: aerodynamic systems, orbital mechanics, signal processing, sensor systems, and RF or EO/IR physics. Understanding of space-related physics and engineering concepts, for example, orbital mechanics, propagation, space-based ISR, SATCOM, SSA/SDA, etc.
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Experience in characterization, and validation of sensing systems that includes theory of operation, signal processing, fabrication, packaging, and design trade-offs. Fundamental knowledge and experience in physics, mechanical, electrical, and material science engineering, and manufacturing technology relevant to sensor fabrication.
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Candidates should possess strong math and physics knowledge to enable developing advanced AI/ML software to solve sensor data processing or control problems. Experience with Reinforcement Learning (RL), other AI/ML techniques, or image or signal processing is a plus.
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As the Modeling & Simulation Engineering Fellow, you will participate in unique multi-disciplinary research across integrated product teams consisting of Guidance, Navigation and Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations.
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Key products include physics-based modeling and simulation tools, system analyses, sensor signal processing algorithms, and real-time prototypes. Tasking will be assigned to leverage the existing skills of the candidate, to include physics-based modeling, application of advanced mathematical techniques for data processing, digital signal processing, image processing, signals analysis, radar system modeling, and radar performance prediction.
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As a Sensor Signal Processing Engineer Your primary responsibility will be to design, develop, and assess sensor and source integration and data association and techniques for incorporation into tactical systems.
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You should be familiar with MEMS sensor technologies such as motion sensor performance metrics, magnetic sensor device physics and applications, system integration, and manufacturing technologies of such sensors.
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Proficient in the theory of operation, signal processing, fabrication, packaging and design trade-offs. -Scope new sensing technologies and proof-of-concept investigations- Interact with suppliers and drive sensor designs to enable new and improved user experience- Diagnose engineering issues with scientific method driving to definitive root cause- Prepare and deliver presentations to clearly communicate technical status, risks and mitigation strategies for sensor projects.
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Research centers on efficient and adaptive implementations for high-throughput signal processing, sensor fusion, target tracking, resource scheduling, electronic attack (EA), electronic protection (EP), and integrated sensor capabilities.
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Ph. D. in Electrical/Physics/Biomedical Engineering. Job Description Job Description DeepSight Technology Inc. is a stealth-mode startup company that has developed breakthrough technology in ultrasound imaging.
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At least twelve years of experience in systems engineering, data analysis or digital signal processing. Collaborate with customers in Department of Defense as well as industry to define system capabilities and functionality for radar, electronic warfare/communication, and other sensor systems.
$139,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate should have a wide range of experience in systems integration, software development, signal/image processing, machine learning/artificial intelligence, modeling and simulation, analysis/analytics, networking, RF communications, cloud technologies, among others.
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