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Background and industry expertise in automotive, including areas such as ADAS/AD, AI/ML, In-Vehicle Infotainment, Cellular-enabled technologies and new and emerging service models. Support business acquisitions for telematics, in-vehicle infotainment, ADAS/Autonomy, connectivity, cellular V2X, car-to-cloud, and other automotive product lines and offerings.
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Educational background in police science, law enforcement, criminal justice administration, public administration, or a related field is preferred. On an intermittent basis, sit at desk or in patrol vehicle; walk and stand during patrol activities; bend, squat and keel during inspection of crime scene or conducting building searches; climb stairs and/or ladders; twist; perform simple and power grasping, pushing, pulling and fine manipulation.
$1,000 - $9,461 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Senior Failure Analysis Engineer with a strong background in renewable power electronics products (DC/AC and AC/DC converters) and components (MOSFETs, IGBTs, capacitors, etc.
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We are looking for a System Safety Engineer with automotive background in ADAS and/or autonomous driving. Founded in 2017, Applied Intuition delivers the definitive ADAS/AD toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, and create next-generation consumer experiences.
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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. Strong academic or industry background with a degree (BS, MS, or PhD) in deep learning, machine learning, or data analytics infrastructure, a strong software development background, and proficiency in Python and C.
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Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM, Transformer, and Reinforcement Learning). Coding, proof-of-concept (POC) and demo deep learning applications with our test vehicle platform.
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Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks. Familiar with Python development co-system including opencv, numpy, scipy, pandas, sklearn etc and comfortable with development in Linux and Windows.
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Background with ADAS, robotaxi, and/or other autonomous vehicle products and systems. Experience leading AI-based and/or autonomous vehicle or automotive software products, from inception to launch.
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CUDA is a plus, experience with AWS as well. Implement machine learning/ deep learning models (supervised learning, reinforcement learning) for the following tasks: 2D/3D object detection, semantic segmentation, depth estimation, traffic (time or speed) prediction and driving behavioral learning etc.
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You will implement cutting-edge deep learning models accelerating model training performance for intelligent mobility system applications and tackling open problems together with researchers. Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Researchers.
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Experience of training deep-learning models in an end-to-end fashion. As a Computer Vision Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale.
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EverCharge is a leading provider of electric vehicle (EV) charging devices and management systems and provides hardware and software EV charging solutions for fleets, multi-unit, and single-family homes.
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Background in the autonomous vehicle industry and familiarity with ROS (Robot Operating System). Background in the autonomous vehicle industry and familiarity with ROS (Robot Operating System.
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Strong background in mechatronics, including hardware, electronics, and low-level software for hardware control and middleware. Knowledge with Vehicle onboard computers (ECU) Lead prototype vehicle development, including hardware, electronics, and low-level software design and development.
$184,000 - $264,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Masters with at least 1-2 years of experience; Strong software engineering practices in Python with machine learning experience in a production setting. Clear grasp on basic Linear Algebra, Optimization, Statistics, and Algorithms.
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background vehicle jobs in Mountain View, CA
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