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BS degree in Image Science, Geo-spatial Systems, Computer Engineering, Geographic Sciences, Computer Information Systems or related field and 0-2 years of relevant experience. The systems tested include many data products from remote sensing platforms that collect different images and geospatial information including electrical-optical or visible (E/O), Synthetic Aperture Radar (SAR), Overhead Persistent Infrared (OPIR), motion, multi-spectral and hyper-spectral imagery, and lidar.
$66,000 - $106,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You will also be implementing methods in cloud environments to a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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B.S. in aerospace engineering, mechanical engineering, electrical engineering, computer science, physics or related technical subject area. Experience in development and test of RPO sensors such as LiDaR and vision-based navigation systems.
$153,636 - $235,575.2 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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0 years of related experience with a Bachelor's degree in Aerospace Engineering, Computer Science, Computer Engineering, Electrical Engineering, Physics, Imaging Science, Optical Science/Engineering, Robotics, Mechatronics Engineering or other related discipline.
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BS/BA or MS/MA degree in engineering, physics, computer science, or related field with autonomy and robotics experience. Experience with embedded processors such as Jetson TX2s, optical cameras, lidar, software defined radios, or other sensors and peripherals.
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The position requires education and experience equivalent to a bachelor’ degree in Geography/GIS, Computer Science, Forestry, Natural Resource Management, or a similar academic field. The Analyst will use auxiliary remote sensing data such as LiDAR (light detection and ranging), PhoDAR (structure from motion photogrammetry), multi-spectral imaging, and radar.
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Currently pursuing a full-time engineering degree with a focus on computer science, machine learning, computer vision or a related field. g cameras, radars, IMU, LiDAR) HATCI Autonomous Driving Software Department is seeking ADAS Machine Learning interns who are interested in acquiring hands-on experience processing large-scale datasets to support training of Deep Neural Network models for environment perception and object detection.
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To Apply for this Job Click Here We are working with an autonomous vehicle/robotics start-up based in the SF Bay Area. The client is actively looking for: - M.S. or Ph. D. in Computer Science, Robotics or related field - 2+ years of experience working on autonomous vehicles and 4 years experience working on percpetion - Strong algorithm and coding skills in modern C.
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Demonstrated experience in academia, industry and/or government with imagery science, photogrammetry, Lidar/3D data, Spectral SAR, and/or Thermal processing. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials.
$62,107 - $120,981ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree or higher in Computer Science, Electrical Engineering, or related fields, with at least 8 years of industry experience in embedded systems development. Develop embedded code to enhance functionality and performance of electrical subsystems within our advanced lidar system.
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Bachelors degree in GIS/Geospatial services, Geography, Computer Science, or a related technical field with emphasis on Geographic Information Systems (GIS). Master's Degree in GIS/Geospatial Services, Geography, Computer Science, or a related technical field with emphasis on Geographic Information Systems.
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It offers 15 undergraduate degree programs and six Master's degrees across seven academic departments that include: Biological Sciences, Chemistry & Biochemistry, Computer Science, Geological Sciences, Kinesiology & Health Promotion, Mathematics & Statistics, and Physics & Astronomy.
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Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field. Strong knowledge of integration of Lidar, Radar, and Camera sensor fusion for data collection.
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Relevant industry experience combined with a bachelor's degree or higher in Computer Science, Engineering or other related fields such as Photogrammetry/Remote Sensing, GIS, Geo-Science, or Geomatics.
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PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field, with a focus on mapping, localization, or SLAM. Hands-on experience with sensor calibration, data fusion algorithms, and the integration of various sensors (e.g., LIDAR, radar, cameras) for vehicle localization.
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