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Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, artificial intelligence, and machine learning, robotics, and data mining.
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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. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Deep Understanding of Machine Learning and AI : The candidate should possess a robust understanding of various machine learning algorithms, artificial intelligence, and deep learning techniques.
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DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world.
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Minimum Qualifications- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
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NVIDIA’s Isaac Robotics Platform is binding together high-fidelity visual and physical simulation, a high-quality developing platform, hundreds of optimized algorithms to address hard problems in computer vision and artificial intelligence, and a small and powerful computational platform to form the brain of intelligent machines.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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We currently have 35+ funds under management, and look for world-class management and technical teams that are targeting disruptive opportunities in IT, HealthTech, Artificial Intelligence, IoT, Robotics, Big Data, Quantum Computing, FinTech, and Next Generation Technologies.
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Solutions Architect, DGX Cloud Do you want to be part of the team that brings Artificial Intelligence (AI) emerging technology to the field? Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, with a focus on NLP or machine learning.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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THE ROLE: The Sr. Manager, EPYC Server AI Product Marketing is a key member of the Server Marketing Team, will oversee the design, development, and communication of AI (Artificial Intelligence) marketing strategies and campaigns that are designed to establish AMD EPYC product leadership in the AI space.
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Strong knowledge of artificial intelligence, deep learning or machine learning. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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These platforms play a key role in the emerging field of Artificial Intelligence and Machine Learning. Cisco Silicon One is the center of Cisco’s ASIC design and is driving the development of next-generation network devices for the 5G and AI era.
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