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Knowledge of and experience with signal processing, time-series analysis, biosensor systems, and analyzing biomedical data. Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance.
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The successful candidate will have demonstrated leadership skills and expertise in areas such as: RF, radar, communications systems, analog and digital signal processing, software-defined radios (SDRs), FPGA firmware and hardware development, microcontrollers and embedded processors, physics modeling and simulation, systems engineering, and test & evaluation.
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Electrical engineering, Radar, Signal processing, Wireless sensor network, Wireless communication systems, Embedded systems, Embedded software, FPGA, FPGA prototyping, ASIC.
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Experience with signal processing and/or digital feedback control systems. If you love to design and build boards from the ground up, develop firmware to control complex electromechanical systems, and produce elegant solutions to real-world problems, we want you as a Senior Electrical Engineer.
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As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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Apply acoustic wave propagation and signal processing theory to the design and specification of new cardiac imaging algorithms and imaging sub-systems. You have 5+ years of experience with ultrasound signal and image processing, filter design; linear and nonlinear wave propagation is preferred.
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Expertise in one or more of the following areas: low-noise electronics, analog-digital conversion, methods of synchronous detection, analog and digital signal processing, phase-locked loops, motor control and drive circuits.
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We extend rapidly evolving technical capabilities – such as remote sensing and signal processing techniques, data science, software tools, and systems analysis – to under-served mission needs across the domestic and international landscape.
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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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Proficiency in Model-Based-Design principles and best practices within the MATLAB/Simulink environment, coupled with extensive experience using MATLAB/Simulink toolboxes for control systems design, signal processing, and embedded C/C.
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The ability to develop tools such as operating system handlers, bare metal firmware emulation, and virtual device simulation are key to support the emulation of representative signal processing and control systems components and algorithms.
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Experience with Imaging EO/IR/RF systems, energy transport, or radar physics, signal processing or discrimination algorithms. Experience with and ability to interface with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering.
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Background in communications and information theory, adaptive signal processing and recursive estimation, detection and estimation theory, and array processing. Additional responsibilities include presenting our results and recommendations in forums such as MILCOM and intra-government conferences; advising and mentoring signal processing graduate students at top universities through the scholars program as we build our talent pipeline; and conceiving new ideas and concepts, and presenting them in the form of task orders, proposals, patents and white papers.
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Software architecture, design, development, integration, and verification Configurable Logic / Firmware / VHDL architecture, design, development, integration, and verification Systems engineering, architecture, and/or design System performance and analysis Algorithms and signal processing Modeling and simulation (for example 6-DOF.
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You will design, test, document, and maintain embedded software, such as signal processing blocks, device drivers, APIs, state machines, communication bus controllers and hardware self-tests, for ‘bare-metal’ MCUs (ARM Cortex M0-M4) and/or as software sub-blocks in embedded edge-compute systems running Linux, ROS or other operating systems.
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signal processing systems engineer jobs in Cambridge, MA
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