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Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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Responsible for the safe recovery of the autonomous vehicle which includes but is not limited to parking safely behind the driverless vehicle, setting up protection, disengaging the self-driving car and driving the car to a safe location.
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5+ years of sales experience in robotics, autonomous vehicle, trucking, infrastructure, warehouse and/or security. 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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Become an integral part of our visionary mission to revolutionize the commercial vehicle industry through our cutting-edge lithium-ion battery manufacturing facility. Company Overview: A proposed joint venture (JV) created by Accerlera , PACCAR, Daimler Truck and EVE is a Battery Cell Manufacturing company dedicated to producing cells mainly for the Commercial Vehicle and Energy Storage Systems market.
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Simulation gives us the capability to test an autonomous vehicle in a near-infinite variety of conditions and scenarios before it even reaches the road, accelerating development time and improving the reliability of the self-driving stack at the same time.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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PVA is being used in many of the largest autonomous vehicle and robotics projects in the world, solving real world problems. If you're creative and autonomous, we want to hear from you.
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Crgo is a venture-backed startup developing the next-generation air cargo solution, combining hybrid-electric autonomous VTOL aircraft with safety-focused ground infrastructure – a first in its category.
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We are pioneering a new approach to autonomous off-road equipment with AI-powered, vehicle and manufacturer agnostic technology that enables heavy industry operations to retrofit any piece of equipment with autonomous technology.
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Relying on advanced technologies and controllable cost, Innovusion's long-range image-grade LiDAR is a market leader in the autonomous driving industry. Products are also widely used in the field of vehicle-road collaboration, rail transit, intelligent highway, and unmanned mining.
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Functional understanding of complex mechatronic systems, electrified vehicle powertrain, and autonomous vehicle systems. In this role, you will be responsible for the development of embedded software for Magna's innovative New Mobility platforms, such as Last Mile Delivery Device (LMDD) and Autonomous Mobile Robots (AMR.
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Is essential as you work to enhance our training pipelines and drive forward the reliability and efficiency of our autonomous vehicle technology. Experience in metrics, data analysis, and scientific evaluation, especially in autonomous systems, coupled with hands-on experience in managing machine learning pipelines in a production environment.
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6+ years of work experience, preferably in the autonomous vehicle, robotics, or remote sensing fields. We are incorporating physical and digital infrastructure that unlock the full spectrum of capabilities of current and future automated vehicle technologies.
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Develops and enhances highly critical technologies for camera perception; high precision localization; radar perception and lidar perception; precise sensor synchronization and calibration; multi-sensor fusion; estimation and tracking of static and dynamic objects in the environment; behavior prediction of agents; planning of autonomous vehicle decisions, trajectory and speed; and/or autonomous vehicle control.
$167,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The base NVIDIA is looking for a Cybersecurity Technical Program Manager to drive the execution of the secure software development lifecycle according to the ISO21434 Cybersecurity Management System for NVIDIA's autonomous vehicle software platform.
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Additional knowledge and expertise in topics such as vehicle design, accident reconstruction, biomechanics, multi-energy systems, sensors, actuators, distributed network protocol, fault tolerant control and autonomous vehicles.
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