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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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Sound fundamentals in RF/MW, electromagnetics and signal processing. Software Defined Radio (SDR) platforms and respective signal processing libraries (ex. Digital communications theory and associated signal processing algorithms for both narrowband and wideband data transmission systems.
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Drive innovation across the MV portfolio, including but not limited to: System/Board Design, Circuit Board Layout, Hardware Automation, Validation and Test, Signal Integrity and Power Design. Deep understanding of CMOS image sensor operation and system design.
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Experience with image processing, multiview systems, camera calibration, pose estimation, non-rigid ICP, non-linear optimization, neural networks training and deployment, PyTorch, distributed and cloud computing.
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Image Relay is a remote company that operates 9-5 EST. We are seeking full time employees who can overlap at a minimum of 4 hours during that time period. Image Relay is a fast-growing software company and our development team is small but mighty.
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Learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. The company is headquartered in Oakland, California and privately-held, with investments from ARTIS Ventures, NTT Venture Capital, DigiTx Ventures, Mayo Clinic, Sutter Health and others.
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With over $125M in funding from partners like 3M and the Mayo Clinic, Eko has become one of the fastest growing digital health companies, doubling our customer base in the last year to over 400,000 clinicians across 4,000 U.S. hospitals.
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Working knowledge of DFM, DFT, Signal Integrity, and Power Integrity principles associated with mixed-signal design. Design and schematic capture of mixed-signal PCBs (RF, digital, and power) using Altium.
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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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Experience with DeepCut for processing image analysis of pre-clinical studies. Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics.
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Basic exposure to scientific computation (i.e., Linux/Unix, Matlab, Python, Image Processing software). Experience with flow cytometry, microscopy, high-throughput cloning, and/or next generation sequencing library preparation.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
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Analog, logic and mixed signal circuit design, analysis and simulation using SPICE, Simplorer, Saber, or similar. Analog, logic and mixed signal circuit design, analysis and simulation using SPICE, Simplorer, Saber, or similar.
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Knowledge of signal processing and sensor fusion techniques for wearable products. Spatial Labs currently powers infrastructure for brands such as Tidal, Pantone, IKEA, CROCS, ALES GREY, and more.
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Headquartered in San Francisco, Tempo's all-star team includes alumni from Google, YouTube, Amazon, Netflix, Airbnb, Pixar, and Orangetheory, backed by $300 Million in funding from Softbank, General Catalyst, Norwest Venture Partners, Founders Fund, Khosla Ventures, DCM, and Signal Fire.
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