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Our past successes include building chips for all the cloud hyperscalers globally - Amazon, Facebook, Google, Microsoft, Alibaba, Tencent along with enterprise and mobile operators like China Mobile, Cisco, Nokia, Ciena, Reliance Jio, Verizon, AT&AT. We are recognized leaders in the mixed signal, DSP connectivity space, now applying our skills to next generation AI.
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Client is looking for a motivated and team-oriented individual who is passionate about next generation sequencing technology. B.S. with 2-3+ years of experience or M.S with 1+ in a Bioengineering, mechanical engineering, electrical engineering, computer engineering, mechatronics, or a related discipleTroubleshooting experience in development or operations of microfluidics, liquid handler, diagnostic systems, NGS systems.
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It uses cutting-edge public and private cloud technologies extending the next generation security protection to all cloud services, customers on-premise remote networks and mobile users.
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This role involves working on cutting edge high performance ASIC design from specification to RTL implementation. This role involves working on cutting edge high performance ASIC design from specification to RTL implementation.
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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AMD's Datacenter GPU Business Unit is seeking an AI Performance Analyst to help quantify and communicate the capabilities of our next-generation AMD Instinct accelerators. 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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In this critical role, you will be collaborating with flight software, spacecraft operations, mechanical, radar and radio frequency engineering teams to build cutting-edge hardware, rapidly moving all the way from clean-sheet designs into full operational deployment in space.
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Developing and conducting experiments for measuring gene expression in single cells (e.g. 10X Genomics or BD RhapsodyTM assay using Illumina Next Generation Sequencing technology.) Bachelor's degree in related scientific field and four years of relevant work experience; or Master’s degree in a related scientific field and two years relevant experience; or PhD in related science field.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Join a world-class team of silicon and distributed systems experts at Enfabrica as a Package Design Engineering Lead. You have the opportunity to be part of building a groundbreaking new category of products that revolutionize the performance and scalability of next-generation AI and accelerated computing systems, and to help solve key infrastructure challenges facing our customers.
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Our high-throughput acceleration platform shortens the lab-to-production timeline by >90% through vertically integrated process optimization and cutting-edge artificial intelligence applications.
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At Centrillion , we are at the forefront of multiple cutting-edge fields in genetics and biotechnology, including spatial genomics, ultra long DNA sequencing, rapid on-chip sequencing, viral sequencing, genotyping, and synthetic biology.
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From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today's most cutting-edge digital technologies to create value and grow.
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Preferred Area of Study: Computer Science, Systems Engineering, Computer Information Systems. Preferred Area of Experience: Microsoft , Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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We are dedicated to creating the next generation of specialty brokerage services, leveraging cutting-edge technology and a lean, communicative organizational structure to drive success.
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