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We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence.
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The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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You are passionate about emerging technologies such as artificial intelligence, blockchain, and robotics. Coworking membership at Capital Factory with garage parking space, metro pass, or rideshare credits and access to the onsite gym.
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Teaching opportunities range from introductory computer science courses, such as data structures, discrete mathematics and computer architecture, to advanced courses, such as algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, big data, and UI/UX. We have opportunities to teach classes dedicated to CS majors as well as classes targeted to majors from other disciplines-many of our professional faculty teach both types of classes.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Eagle Eye Networks is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with artificial intelligence (AI) and analytics to make businesses more efficient and the world a safer place.
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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.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Your innovative spirit will be the driving force behind identifying and leveraging new methodologies and algorithms, creating transformative solutions for predictive analytics, customer behavior, conversion optimization, risk mitigation, fraud prevention, and much more.
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Success requires a clear understanding of overall embedded automotive ECUs, and broad knowledge of automotive OSs, Artificial Intelligence (AI), Machine Learning (ML) and neural networks, computer vision, camera, radar and Lidar sensors as well as graphics and display in an automotive environment.
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Knowledge of DSP architectures, embedded software, and Artificial Intelligence / deep learning applications is a plus. Knowledge of DSP architectures, embedded software, and Artificial Intelligence / deep learning applications is a plus.
$147,000 - $273,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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ADI’s Central Artificial Intelligence (AI) team develops next-generation AI technology that transforms our understanding of the physical world. Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world.
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As a ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.
$108,000 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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WHAT YOU WILL LEARN Spice simulation Schematic and layout best practices LVS, DRC, ERC, boundary & topological physical circuit checks Parasitic extraction EMIR solutions Perl/Shell Scripting Software/Infrastructure development Foundry relations, Semiconductor manufacturing processes Design for Manufacturing and other Reliability topics LOCATION: Markham, ON EDUCATION: Computer & Electrical Engineering #LI-AP3 #LI-HYBRID At AMD, your base pay is one part of your total rewards package.
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The Data Scientist will contribute to the Fraud Analytics unit’s efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse.
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The innovation will build on machine learning, artificial intelligence, and big data research. Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.
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artificial intelligence jobs in Austin, TX
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