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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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Experience in a high-tech industry, and familiarity with artificial intelligence, software engineering, software or hardware architectures, and advanced computing and networking technologies.
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With our invention of the GPU, we set the stage for advances in the field of artificial intelligence, computer vision, and medical research. NVIDIA is seeking a Software Engineer to drive end-to-end improvements of our autonomous vehicle technology and launch a great autonomous driving experience to millions of users around the world.
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Master’s degree programs are offered in computer engineering, software engineering, and artificial intelligence. L-B: MSc in computer or software engineering or closely related field with minimum of seven-years of professional experience including teaching; or.
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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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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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Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields, with strong expertise in large-scale ML systems. Proficiency in Python and advanced skills in ML frameworks like TensorFlow, PyTorch, and CUDA.
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Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
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Great opportunity for a Software Development Manager career professional to join an elite team to develop ongoing solutions in the Artificial Intelligent Group (AIG) of AMD semiconductor.
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Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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We specialize in supporting the deployments of High Performance Computing (HPC), Artificial Intelligence, Big Data, and private and hybrid cloud infrastructure, and we are growing rapidly by providing the most footprint-efficient and cost-effective solutions.
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Leverage a strong background in HPC and GPU cloud computing, cloud services, artificial intelligence, big data, storage services, and be familiar with the forefront of relevant technologies.
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More recently, GPU deep learning ignited modern Artificial Intelligence — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
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With over 3,800 patents, our products are enabling advancements in 5G, renewable energy & storage, artificial intelligence, cloud technology, and big data. 10+ years of cross-functional management experience in a product development environment, with a strong understanding of software / embedded firmware development and electrical engineering as well as a general knowledge of mechanical design and engineering.
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