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Lauded by commercial partners as the safest and most capable autonomous freight solution on the market, the Kodiak team is ushering in a new era of transportation. Gather metrics, analyze, and optimize the operation of Kodiak autonomous systems.
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Responsibility As an ADAS Safety Engineer you will work on the safety of our autonomous driving features and ADAS features. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
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Experience with using professional tools (e.g., Roadrunner) to develop digital twin and 3D simulation scenes for autonomous driving and sensor simulation tools by. 1+ years of hands-on experience in professional or academic setting with cooperative autonomous driving and sensor simulation tools, (e.g., CARLA, LGSVL, CARMAKER, or similar.
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We are looking for a skilled & experienced DevOps Engineer to join our AV Infrastructure & DevOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack.
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We are seeking a dedicated Transportation Engineer/Modeler for Cooperative Driving Automation (CDA) and Digital Twin to join our McLean, Virginia group. Conduct research on a variety of transportation engineering projects, which encompass traffic simulation, CDA, Digital Twin, V2X, CV, safety, and Intelligent Transportation Systems (ITS.
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2+ years of hands-on experience in professional or academic setting with at least one of microscopic traffic simulation tools (e.g., SUMO, Vissim, Aimsun, Transmolder, or similar). You will engage in dynamic projects involving Operations, Safety, Freight, and Access Management and in the growing and rapidly advancing fields of Intelligent Transportation Systems (ITS), CDA, Digital Twin, V2X, and Connected Vehicle (CV) technologies.
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Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies, crowd-sourced HD mapping, pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.
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Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots.
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At ABS you may get a chance to work on a project for an autonomous warehouse robot or an autonomous lawnmower, or you may work on a battery for a fleet of delivery vehicles or a transit bus, or even an EV start-up or a massive grid energy storage system.
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Deep knowledge of Autonomous Vehicle and ADAS features. The Autonomous Vehicles team is searching for an experienced test technician / engineer to support our new autonomous driving features development.
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Computer vision, Deep Learning, Machine Learning, Autonomous driving, Self driving, Artificial Intelligence, neural networks, autonomous shuttles, autonomous buses, AI, supervised learning, autonomous vehicles, mass transit, and HD-mapless autonomous driving.
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Optimize utilization of deep learning compute resources via quantization, pruning and other novel techniquesWork closely with software and test teams on development of algorithms/modules on simulation and on-target platformsMinimum Skill Requirements:Ph. D. degree or equivalent in Computer Science, Electrical / Mechanical Engineering, Applied Mathematics, Statistics or related field5 - 8 years + of experience in deep learning algorithms or autonomous driving industry.
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We are a private company founded in 2020 and backed by top-tier venture capital investors in aviation and autonomous driving. We are looking for a Robotics Engineer to join our fast paced team who can design and implement solutions for reliable autonomous technologies used in airside logistics.
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Familiar with augmented reality (AR) and virtual reality (VR) technologies. Knowledge of CAV, Intelligent Transportation Systems, and traffic operation and management. Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US.
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We are seeking a Machine Learning Engineer to join a very well-funded (Series D) autonomous vehicle startup based in Mountain View, CA. Our mission is to reimagine the idea that people have of the autonomous vehicle industry today by creating a positive real-world impact.
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