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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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As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (Electronic Support Measures {ESM}, acoustic, RF, EO/ IR, and lidar) applications.
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You can find out more about us by visiting our website ( mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning.
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Required Qualifications:Project lead/task management experienceExperience managing CI/CD pipelinesExperience conducting spring planning meetings and providing customer updates and sprint reviewsProficient experience with Python developmentA general understanding of CNO/CNE concepts and useExperience with modern development techniques, source control methodologies, automated testing, or release cycles.
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The HID Algorithms team is an eclectic group with backgrounds in computer science, signal processing, machine learning, control theory, human factors, and more. such as signal/image processing algorithms or numerical solvers.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. , and our core team includes faculty entrepreneurs (Stanford) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber.
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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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Knowledge and experience with DOD, SAE, IEEE, and/or IPC standardsExperience with DOORS or an equivalent Requirement Management toolWorking knowledge of Electrical Engineering Computer Aided Design (ECAD) toolsWorking knowledge of Mechanical Engineering Computer Aided Design (MCAD) toolWorking knowledge with LINUX and WINDOWS Operation SystemsExperience with software programming (C, C.
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Provide support in drafting, editing and reviewing SDA responses to congressional requests for information, briefings and hearings and draft, track, and manage DoD/legislative affairs reporting requirements.
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Signal Processing – turning time/distance indexed sensor data into automation and sizing. Analytical Modeling/Regression – familiarity with non-Machine Learning based modeling to predict outcomes based on available features.
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Assist with the development of machine learning algorithms by identifying and marking objects within still and video images. We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide.
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Radar and RF signal processing, optimization, electronic warfare, machine learning, adaptive signal processing, algorithm development for RF sensors, test & evaluation, modeling & simulation, or systems engineering.
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Experience with CPE, BLUESTEELE, CARS, DX, FOREMAN, GATEKEEPER, GRAPEVINE, WRANGLER, ArcGIS, ARCMap, Splunk, Palantir, and other IC tools and services. Familiar with DoS , NSA, DIA, CIA, FBI, NTCT intelligence products.
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Maintains a thorough understanding of digital design as relates to radar signal generators, MTI, IF receivers, clutter rejection, mixers, multipliers, low noise amplifiers, and digital displays.
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Strong background in implementing signal processing or machine learning algorithms in C. Design and develop time-critical signal processing and machine learning algorithms to process information from physiological signals acquired from wearable sensors.
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signal processing sensor machine learning jobs
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