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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Strong knowledge of machine learning techniques and their application in audio signal processing, coupled with a deep understanding of acoustics and auditory perception. The Sr. Principal Signal Processing Engineer will be responsible for providing strategic vision and leadership in ideation, architecture, design of new products and technologies, and project execution.
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The successful candidate for this position is a subject matter expert in Radar design, Radio Frequency (RF) design and electronics with deep understanding of radar principles, waveform design, and signal processing algorithms.
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We are looking for students who are self-motivated and interested in signal/image processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing.
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The Undersea Systems and Acoustics (USA) group develops and delivers advanced undersea sensor and signal processing systems related to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications.
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This position requires skills working as part of and leading multi-disciplinary teams designing and analyzing signal processing algorithms for complex systems. Strong signal and information processing expertise (statistical signal processing, array processing, signal modeling, linear algebra, probability and random processes, optimization, tracking/data fusion, adaptive signal processing, digital signal processing, information theory.
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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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Our Ocean Systems Group is seeking a signal processing engineer to be part of a multi-disciplinary team working on projects that span a wide range of research areas. Undersea Acoustics Signal Processing Engineer.
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Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit. Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.
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Work with systems engineers to refine signal processing algorithms for efficient firmware/hardware execution. Implement key 3GPP digital signal processing algorithms with very tight time, latency and energy budgets by interfacing to specialized cellular ASIC hardware.
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Proficient with ML frameworks such as Tensorflow, Keras, JAX.Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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Relevant coursework includes but is not limited to Digital Signal Processing, Analog to Digital Processing, Signal Analysis, Filter Design, Digital System Design, Linear Electronics, Signals & Systems, Data Structures, Non-Linear Vibrations, Power & Propulsion, Acoustics, etc.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. Knowledge of signal processing and sensor fusion techniques for wearable products.
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Role overview:As a DSP Software Engineer specializing in 5G wireless communication systems, you will play a key role in designing, implementing, and optimizing digital signal processing algorithms and software for next-generation wireless communication systems.
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Solid understanding of digital signal processing theory and algorithms, with a focus on wireless communication systems and standards (e.g., 5G, LTE, Wi-Fi). In this role, you will: ·Design and develop digital signal processing algorithms for various aspects of 5G wireless communication systems, including modulation/demodulation, channel coding/decoding, synchronization, and beamforming.
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signal processing deep learning jobs Title: engineer systems Company: Leidos
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