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Use common industry signal processing tools such as IDL, MATLAB, Python or C. Technical challenges cover a broad range of disciplines including antennas, the entire transmit and receive chain, radar system modeling, ground moving target identification, electronic warfare, maritime surveillance, image processing, algorithm development for advanced Radar image products and exploitation.
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Signal processing, modeling, & simulation. Complex radar capabilities, such as active electronically scanned array (AESA) antennas, receiver/exciters (REXs), Electronic Protection (EP), radar digital signal processing electronics, pointing and stabilization measurement instruments, and control algorithms.
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Responsibilities Work with our battery scientists and controls engineers to identify and implement improvements in our simulation and signal processing algorithms Write robust, well-tested signal processing, simulation, and optimization software in Python, Rust, and C / C.
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Basic knowledge of amplifier design and Digital Signal Processing (DSP). Familiarity with Solidworks for 3D modeling. Proficiency in software scripting/automation (Python, LabVIEW, Excel macros.
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While working with a diverse and experienced team, you'll perform modeling and simulation development and operational assessments, to include radar signal processing code developmentand the refinement of models in Fortran, C.
$52,100 - $119,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of RF systems architecture, RF propagation models, familiarity with RF receivers and transmitters architectures, background with digital receiver architecture, and digital signal processing techniques.
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Chip-Scale Design: digital, RF and/or mixed signal device packaging design/layout (2D-3D, chiplet/UCIe), substrate/interposer design (HDI, HDBU, EMIB), chip attach (epoxy, solder), chip interconnect (chiplet, flipchip, wire/ribbon bonding), modeling & simulation (power, speed, timing, signal integrity, thermal, structural, reliability.
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Knowledge of multi-threaded signal processing algorithms in Python/C. have a strong background with proven capabilities against a wide range of wireless protocols, experience performing cutting-edge research and development on real-time Software Defined Radio (SDR) and protocol processing systems, and an extensive software development background.
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Familiarity with modeling and simulation tools like MATLAB and experience with Python. Knowledge of signal processing concepts for communications, detection & estimation theory.
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DSP Engineers have a strong background with proven capabilities against a wide range of wireless protocols, experience performing cutting-edge research and development on real-time Software Defined Radio (SDR) and protocol processing systems, and an extensive software development background.
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Developing and implementing signal processing algorithms for comms systems. Applicants will assist or lead in the design, development, modeling & simulation, implementation, and evaluation of communication systems and waveform design.
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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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Significant experience in computational programming (i.e., Python, MATLAB), with an emphasis on signal processing. We are currently seeking a Biomechanics Associate Data and Computational Modeling for our Biomechanics Practice in Farmington Hills, MI. In this role, you will work as part of a team supporting our rapidly advancing proactive, real-world, data-driven insights initiative informing product design and innovation, utilization of digital health technologies and supporting data analytics capabilities to monitor and predict a broad range of patient outcomes.
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Strong interest in technical disciplines such as wireless communications, RF/analog hardware, antenna design, digital signal processing (DSP), and networking Possess effective interpersonal skills, enabling you to work efficiently within multidisciplinary teams across various organizations Experience with software development methods and object-oriented programming, including proficiency in a modern programming language such as C/C.
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Knowledge of signal and data processing with Matlab or Python. Modeling and simulation. Knowledge of high-altitude electromagnetic pulse (HEMP) or other types of intentional electromagnetic interference (IEMI.
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