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Define use cases and requirements for the autonomous-driving sensor suite, primarily radar, but including cameras, lidar, and near-range sensors. Work with the perception team to identify, understand, and solve sensor (camera, lidar, radar) performance issues.
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Hands-on experience with signal processing, data analysis, machine learning models, or platform development in radar, lidar or equivalent. Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.
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A leading technology company specializing in LiDAR systems for ADAS, autonomous vehicles, and robotics applications is seeking an experienced and driven Automotive Key Account Manager to support our rapidly expanding customer base in North America.
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Prior exposure to automotive or related sensors (camera, radar, LIDAR, ultrasonic, GPS, IMU) Simulation environments are essential to the success of self-driving car technology. Directly impact the future of self-driving car technology.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Background in selling opto-mechatronic/sensor solutions (Lidar/Camera/ECU/Displays) or similar electrical products. Responsibilities:- Lead Lidar sales for key automotive accounts in North America.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Enable sensor fusion and work with a variety of sensors including Camera, Lidar, Radar, IMU, GNSS, and more. Enable sensor fusion and work with a variety of sensors including Camera, Lidar, Radar, IMU, GNSS, and more.
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Our dynamic portfolio – including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi – powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera / Vision, RADAR, LIDAR, INS / IMU) Interfaced with automotive radar, lidar, and/or camera systems.
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Founded in Silicon Valley with strategically placed research and manufacturing facilities across the globe, Seyond is crafting LiDAR solutions that elevate autonomous driving and fuel the advancement of smart infrastructure development.
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This person will lead the FPGA and circuit board design, implementation, and board bring-up to help enable a complete LiDAR system. Enthusiastic about working on disruptive silicon photonics and LiDAR technologies.
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Hardware bring-up of the entire self driving kit consisting of sensors such as lidar, camera, radar and computer. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder.
$197,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will be challenged to improve robustness and accuracy of obstacle perception DNN models using multiple sensor modalities (e.g., camera, radar, and lidar) under challenging and diverse scenarios to fully enable autonomous driving anywhere and anytime.
$144,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Develop ML models and algorithms using current and historical data from a variety of sensor modalities (e.g. camera, radar, lidar) that solve complex problems such as localization, tracking, sensor fusion, detection, anomaly identification, and behavior prediction.
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lidar job in Mountain View, CA
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