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Hands on experience in developing DL based planning engine for autonomous driving. Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
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Hands on experience with data analysis software (JMP, National Instruments, Exensio, etc.) The position offers growth/specialization opportunities within Digital Test Engineering (Mixed Signal, Microprocessors, HSIO, Logic, Memory, DFT, DFM, Machine Learning, SW Development), adjacent disciplines (Yield Management, Diagnostics, Product Engineering) or other product families (PMIC, RF, RFEE.
$104,000 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deliver on target planning SW and closely work with the perception team to achieve the most intelligent autonomous driving systems. MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
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You will be working with a team of the best-in-class computer vision, AI systems, and software engineers to ensure the world-leading performance on our autonomous vehicles. Opportunity to work on cutting edge technologies with the top talent in the field.
$220,000 - $370,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The position is a hands-on engineering role with a wide range of responsibilities to evolve and support a machine learning pipeline. Build and enhance our machine learning pipeline to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of ML models.
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Hands-on experience with AI/ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn in the context of modeling, simulation, and autonomy. -Strong proficiency in machine learning techniques, deep learning frameworks, and statistical analysis, tailored for complex systems.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Job Description: As a Principal AI Software Engineer specializing in Modeling, Simulation, Autonomy Development, Software, and Hardware, with expertise in Cameo EA, SysML, and AFSIM, you will lead the development and implementation of cutting-edge AI algorithms and models tailored for complex systems.
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5-8 years of hands-on silicon validation test automation experience ranging across System/SW/ bench test/ HW-SW interactions, preferably in the mobile devices/microprocessor industry.
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Hardware Systems Engineer, you will design a complete framework or system that influences the shaping of state-of-the-art mobile, edge, auto, AR/VR, compute, IOT, wearable products. C#, Machine Learning, Data Science, Computer Science, Java, Python, Automation.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Data Analytics, Machine Learning. Work Location: 100% On Site. Conducts specialized analyses (e.g., feasibility studies, signal integrity, power integrity, equipment) to establish operating data and specifications.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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2+ years of hands-on experience with hands on machine learning projects, a focus in Natural Language Processing is a plus. We are seeking exceptional candidates who are driven by challenges, thrive on hard work, and have a deep technical expertise that can contribute to the high-velocity growth of our startup.
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Role: Silicon Validation Engineer (Data Analytics, Machine Learning & Automation) Role: Silicon Validation Engineer (Data Analytics, Machine Learning & Automation) Good exposure to test automation tools and development of tools from specification using.net, C#, Python and web programming.
$62 an hourExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Hands-on experience in deep learning frameworks, e.g., OpenCV, Tensorflow, Keras, Pytorch, and Caffe. M.S. in Computer Science, Machine Learning, Electrical Engineering, Robotics or similar field (Ph. D. is preferred.
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