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Demonstrated experience with building perception systems using lidar, camera and/or radar data. Exposure to CUDA / Parallel programming. Expertise in learning frameworks such as Tensorflow, Caffe, JAX, and/or PyTorch.
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The ideal candidate will have experience in some or all the following: Machine learning, Robotics Operating System (ROS), light detection and ranging (LiDAR), computer vision, simultaneous localization and mapping (SLAM.
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Strong programming skills with Python and TensorFlow/Pytorch PyTorch on on-premises compute and public clouds (e.g. AWS), Knowledge of generating features from sensor technology like camera, lidar, radar, GPS/ D-GPS and HD maps.
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Additional experience required includes scientifically processing imagery (SAR, IR, Spectral, Lidar) from Civil and Commercial imaging systems, proficiency with techniques, algorithms, and scientific analysis of associated discipline data processing using RSI ENVI. Experience with GOTS applications such as FSTK and AGITK is a plus.
$86,235 - $146,638 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have knowledge and/or experience in remote sensing technologies such as radar, lidar, electro-optics or infrared imaging. Have post-graduate professional experience with radar, lidar, electro-optics or infrared remote sensing systems.
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As a Senior Robotics Engineer - LIDAR, you will lead the solution of challenging and complex problems facing vehicle autonomy. Solid experience on applying Machine Learning or Deep Learning Technologies to LiDAR.
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Prior experience with hardware such as GPS, Lidar, PLCs, PCs, and low voltage power systems. 7+ years’ experience in automation; specifically from scratch PLC programming, creating I/O maps, creating technical specifications, and new technology integration.
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Are skilled in the study of remote sensing technologies such as radar, lidar, electro-optics or infrared imaging. Have computer programming skills applicable to scientific analysis (e.g., MATLAB, Python, Fortran or equivalent.
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Experience with programming languages (SQL, R, Python), front end design languages (HTML, CSS, JavaScript), developer packages such as Jupyter Notebooks. Process collected data using LiDAR Survey post-processing software, CAD software, and GIS software in preparation for import into Maximo and Geodatabase.
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Experience with advanced image processing workflows (LiDAR, multi/hyper-spectral imagery). Knowledge in additional programming or scripting languages including but not limited to Java, Scala, JavaScript/TypeScript, or Golang.
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Three-dimensional modeling, drafting, visual scheduling, graphic design, animation, audio/video production, audio/video editing, LiDAR and SLAM capture, photogrammetry capture and processing, UAS/Drone operations, programming/scripting languages, application development, data structure/analysis, and collaboration tools.
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Our ideal candidate has significant experience conducting remote sensing and geospatial analytics in either Python, R, or PostGIS. Geospatial programming experience and familiarity with packages such as arcpy, GDAL, OGR, shapely, geopandas, sf, and terra for raster and vector analytics is a prerequisite.
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3 years of experience with Esri ArcGIS desktop and enterprise products, knowledge of GIS data types, GPS collection, relational database management systems (RDBMS), spatial analysis, and cartography. Update location and asset attribute information in the Engineering Asset Database and Maximo, as well as ArcGIS applications and web maps, when reconfiguration and additions are made in the field.
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Experience with programming, PLS CADD and / or LiDAR highly advantageous. Experience with programming, PLS CADD and / or LiDAR highly advantageous. Our mission is to revolutionize the utilities industry by helping them future-proof their infrastructure and navigate the challenges of the clean energy transition.
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Proficiency in processing large GIS datasets, such as aerial imagery, LiDAR, and more. Strong scripting and programming skills, with expertise in Python, SQL, JavaScript, Node.js, C#, and other relevant languages.
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