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As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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The CASE Auto Business team has chosen six key business focal points or ‘Product Tracks’, which are CASE Auto Academy & Practice, Autonomous Vehicle Development, Vehicle Verification and Validation, Vehicle to Ecosystem Services, Fleet Business Services and Electric Vehicle & Battery Systems Business, each under a designated Product Manager.
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Background in intelligent robotic systems such as field robotics, automation and autonomous systems, adaptive learning systems, artificial intelligence applications in robotics, internet of things (IoT), and electric vehicle technology.
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Support related technical groups in the development of new vehicle technologies, including autonomous driving features, battery electric and alternative fuel vehicles, etc. Experience with setup of cab interior and chassis NVH measurements for conducting vehicle-level and subsystem testing.
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At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. Join the Autonomous Driving Kit Hardware Team, where we deliver cutting-edge ECU, EDR, Logging, and Telematics components that are rigorously tested and validated for Torc's autonomous driving trucks.
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The Senior Engineering Manager for the AD-Kit Team will be responsible for component ownership, working cross-functionally to define requirements, developing across the product life cycle, and implementing the latest ECU, EDR, Logging and Telematics systems that drive our autonomous trucks.
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A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
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Motional's Machine Learning team has produced groundbreaking advancements in the autonomous vehicle industry, including nuScenes ( , PointPillars ( , and PointPainting ( Deploy solutions directly to an autonomous vehicle and analyze their impact.
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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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4) Testing and finetuning developed algorithms/models in Imagry’s Autonomous Vehicle in Haifa. based Autonomous Vehicle software. 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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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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Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry.
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As a TECHFORGE team member, the Autonomous Vehicle Software Developer/Engineer will work alone or on a team within an AGILE product development life cycle, supporting activities which include requirements creation, sprint planning, and grooming, etc.
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Familiarity with the GMD domain, GMD Launch Support Systems hardware, and/or DoD programs involved in autonomous vehicle launch support. The selected Principal / Sr. Principal Electrical Design Engineer will be responsible for cradle-to-grave launch vehicle-centric hardware electrical design engineering, supporting the Ground-based Midcourse Defense (GMD) Weapons Systems (GWS) Ground Support Systems (GSS) product team.
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Lead a Team of Advanced Manufacturing Engineers in the development of New Product Development Projects to support a variety of opportunities that could include New Engines and Emissions, Battery Electric, Fuel Cell, Autonomous Vehicle platforms, Outerbody and Hoods project to complete the conversion to 2.1m Cabs.
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