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Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We need passionate, hard-working and creative people to help us take on more of these challenging opportunities in Autonomous Driving.
$116,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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The Parking Software Development team is part of the Autonomous Driving team at MBRDNA, and part of the global Mercedes-Benz R&D development team. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Our innovations speak for themselves – World’s 1st Autonomous Welding Robot, Solar ‘Connectivity’ Drone, and the Smartest Campus in the World, to name a few. With 62 Innovation and R&D design centers globally, the company specializes in disruptive technology spaces such as 5G, Artificial Intelligence, Collaborative Robots, Digital Factory, and Autonomous Transport.
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As a Senior Software Engineer - Perception, you will play a key role in developing cutting-edge algorithms and software components that enable our autonomous vehicles to perceive and understand their environment accurately and reliably.
$130,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies.
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This opportunity will allow you to contribute to the development of state-of-the-art oceanic systems, providing exposure to a wide range of advanced technologies, including autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), acoustic and non-acoustic sensors, sensor processing, navigation, platform integration, subsea and maritime surface communication technologies, advanced algorithms, and more.
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Familiarity with autonomous vehicle technologies, including high-voltage power systems, sensors (GPS/INS, perception, positional, etc), control systems, and communication networks. Minimum 10 years of professional experience in design of complex electrical systems with a focus on autonomous vehicle, robotic, or automotive systems.
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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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Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving. Our mission is to solve the autonomous driving problem. Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
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Develop web front-end for graphical 3D definition of detailed autonomous driving simulation scenarios. ResponsibilitiesDevelop autonomous driving simulation scenario editor platform to define, inspect, & evaluate the performance of autonomous driving software in any simulated scenario.
$150 - $200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be part of the dynamic and energetic Embedded Marketing Team at AMD. You will be responsible for driving Autonomous Driving market segment, with associated marketing and business development activities.
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About the role As a senior member of Recogni's software team, you will be responsible for implementing the software that runs inside a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company's flagship perception module product for autonomous driving applications.
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Working closely with customers, OEM and Tier1 companies, the successful candidate will understand the market dynamics of ADAS and autonomous driving systems and distill the product requirements for our SoC and platform solution as well as anticipate on the industry trends and technology.
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Motional's Machine Learning team has produced groundbreaking advancements in the autonomous vehicle industry, including nuScenes ( , PointPillars ( , and PointPainting ( Develop a variety of algorithms for planning for autonomous driving, including but not limited to search-based methods, sampling-based methods, optimization-based methods, linear-temporal logic, and decision-making under uncertainty.
$168,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today
autonomous job Title: engineer development Company: Nvidia
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