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SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense.
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Our research portfolio is thriving, with faculty actively engaged in research in a diverse range of fields such as bioengineering, communications and networking, computer engineering, controls and robotics, cyber-physical systems, cyber security, digital forensics, nanoelectronics, power systems, signal processing, and space-based systems.
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A successful applicant should have a background in biomedical research, engineering, neuroscience, biomechanics, or a related discipline with knowledge or interest in physiology, rehabilitation, and biomedical/clinical principles.
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Desired experience includes analog to digital signal processing, underwater acoustics analytics, Fast Attack Submarine Sonarman Experience, and Submarine Total Ship Monitoring System operation (TSMS.
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A minimum of three (3) years of Engineering experience with any of the following: RF, analog, digital, and / or mixed signal circuit design or analysis and / or digital signal processing.
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Solid understanding of Electronics engineering fundamentals, Semiconductor manufacturing process, RF and Mixed-signal circuit analysis techniques. RF, Mixed Signal, Analog, LabVIEW, Spectrum, Phase, PCB, Mentor, Cadence, Hardware.
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Size FPGAs, SoCs, ASICs for digital signal processing (DSP) algorithm implementation. As an electrical engineer on these programs, you will join a highly collaborative, multi-disciplinary team of signal processing and software engineers who are developing state-of-the-art technology that advances government technology from seabed to space.
$97,500 - $202,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas.
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Strong experience in digital signal processing, mathematical modeling and algorithm development. PhD degree in Electrical Engineering, Computer Science, Biomedical Engineering, or Statistics is strongly preferred.
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As a Sr. Engineering Manager, you will lead a group of talented engineers in the design of high-performance test solutions for Skyworks innovative analog, RF, and mixed signal products. We are seeking a seasoned technical leader with a background in product design and/or development of RF, Analog, or Mixed Signal products with a desire to apply that knowledge to produce best in class ultra-high volume test hardware solutions for highly integrated wireless products.
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Our Systems and Software Engineering Group is seeking an experienced Hardware Design Engineer to join our team in Boston, with strong background in three or more of the following areas: analog/digital/mixed signal circuits, PCB design, RF/high speed design, signal processing, test automation, FPGA and Embedded.
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O Strong experience in developing and optimizing embedded controls and subsystems, including FPGA design, VHDL, firmware optimization, signal/image processing, real-time data processing, and proficiency in C and C.
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Engineering: controls, estimation theory, digital signal processing, reinforcement learning optimization, and machine learning. A Research Scientist at Numerica should possess an M.S. or Ph. D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field.
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Associates, bachelors degree or military equivalent program in Biomedical Engineering / Electronics, Electronic Technology or other related field with a minimum of four years experience in the repair and maintenance of medical equipment.
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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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