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You will apply machine learning to Autonomous Vehicle perception, to develop features for our next generation autonomous driving platform. You will be challenged to improve robustness and accuracy of obstacle perception DNN models using multiple sensor modalities (e.g., camera, radar, and lidar) under challenging and diverse scenarios to fully enable autonomous driving anywhere and anytime.
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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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Analyze the complex system of an autonomous vehicle chassis platform regarding hardware and software fault metrics. As a Staff Safety Engineer you will be responsible for the comprehensive safety analysis of the vehicle chassis control systems of Gatik's autonomous truck platform.
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Your work will directly contribute to making autonomous driving a reality and transform transportation. Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California.
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The TeamOur Dev Tooling team is a group of software engineers creating an innovative software framework so that our autonomous vehicle researchers and software engineers can build their own tools for testing, debugging (RCA) and visualizing vehicle performance.
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If you’re a software engineer who’s curious and passionate about bringing Level 4 autonomous driving to the public, we'd like to meet you. At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility andmake people's lives better.
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Lauded by commercial partners as the safest and most capable autonomous freight solution on the market, the Kodiak team is ushering in a new era of transportation. Gather metrics, analyze, and optimize the operation of Kodiak autonomous systems.
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Deep knowledge of Autonomous Vehicle and ADAS features. The Autonomous Vehicles team is searching for an experienced test technician / engineer to support our new autonomous driving features development.
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Optimize utilization of deep learning compute resources via quantization, pruning and other novel techniquesWork closely with software and test teams on development of algorithms/modules on simulation and on-target platformsMinimum Skill Requirements:Ph. D. degree or equivalent in Computer Science, Electrical / Mechanical Engineering, Applied Mathematics, Statistics or related field5 - 8 years + of experience in deep learning algorithms or autonomous driving industry.
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We are looking for a skilled & experienced DevOps Engineer to join our AV Infrastructure & DevOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack.
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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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NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Experience working in Autonomous Vehicle testing, evaluation, and data engineering.
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The Automotive Vehicles team is searching for a creative and experienced Software Engineer to help bring NVIDIA's autonomous vehicle solution out to the world. Design, develop, and maintain software and data infrastructure that supports large-scale, high-fidelity simulation of autonomous driving systems.
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Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Autonomous Driving, Gaming and High Performance Computing.
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Senior ASIC Verification Engineer | AI Start-up | AI interference Solutions / Autonomous Driving | San Jose. This is an opportunity to join a highly funded and expanding startup, working on cutting-edge projects at the forefront of autonomous driving and AI.
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autonomous job in Santa Clara, CA
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