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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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Develop and maintain ML serving solutions on top of SHARK/IREE compiler and runtime. Enable various ML model parallelism techniques on top of SHARK/IREE. Y ou will be responsible for building distributed training/inference solutions and service layers on top of existing core ML compiler and runtime.
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Experience in how Artificial Intelligence/Machine Learning is being applied to enterprise workflows and the implications of this technology - e.g. Digital Twin, HPC, Large Language Models, Computer Vision, Generative AI, Natural Language Processing, XR, Digital Avatars, Omniverse and OpenUSD - Universal Scene Description.
$140,000 - $276,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Master’s degree or above in natural language processing, artificial intelligence, machine learning or related fields, with experience in generative large language model projects. - Excellent large model research capabilities, with a preference for those who have published high-quality papers in top conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, JMLR, etc.
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Much additional growth is possible with the advent of Artificial Intelligence in Data Centers trending globally. This role will be responsible for promoting our products to their assigned market, winning key new design opportunities, and developing and executing the product strategies required to rapidly grow the business, both top and bottom line; and managing NPI to production activities.
$90,000 - $125,260 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Supermicro Computer, Inc. is looking for an Information Systems Security Engineer in our headquarters located in San Jose, CA. We are seeking a highly motivated individual with a broad range of technical skills and expertise in instruction detection and artificial intelligence.
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Our team is involved in numerous projects within Microsoft developing custom silicon for a diverse set of systems ranging from traditional computing solutions to artificial intelligence and augmented reality.
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The Artificial General Intelligence (AGI) - Automations team is developing AI technologies to automate workflows, processes for browser automation, developers and ops teams. Experience in patents or publications at top-tier peer-reviewed conferences or journals.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tk (Turbine Kernels) is a language that layers on top of the IREE compiler and runtime that can be used for writing high performance kernels for a wide variety of hardware backends. Strong understanding of programming languages such as Triton, Mojo, Python, Haskell.
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We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before and with double digit growth year over year, no provider is better positioned to deliver better outcomes on scale, than Extreme.
$220,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines. SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule, Generative AI Hub, AI Core, and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAP’s foundation models, both our own tabular business models and building on top of partner LLMs, and generative AI technologies.
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Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before.
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Experience and a strong analytical background, with a degree in computer science, engineering, machine learning, artificial intelligence, deep learning, algorithms, statistics, or a similar field desirable.
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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We are looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning. We are looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago
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