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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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Design and implementation of next generation financial solutions based on a wide array of technologies with TM1 in its core. Experience in design and optimization of data-processing systems using AWS services (S3, EMR, Lambda, Glue, Athena, SNS, Cloud Watch, Redshift, Aurora/RDS) Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts, VBA and MS Excel Working experience with TM1Py, REST API Relevant corporate finance experience exhibiting knowledge of financial planning, budgeting and forecasting functions and related processes.
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What you’ll be doing: Drive next generation MGX Server Software Toolkit for NVIDIA data center products being built by NVIDIA OEM and ODM partners. You will lead the architecture, design and implementation of our next generation toolkit used by OEM and ODM partners to ensure servers built on NVIDIA GPUs, CPUs, and DPUs are Cloud or Datacenter ready.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead development of highly scalable features on our next-generation Deep Learning based AIOps security platform as part of Cloud management. Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next-generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices.
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Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Experience with large-scale cluster management systems like Kubernetes and Mesos is desirable. You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data.
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Design and build the next generation data integration platform efficiently and reliably for different purposes. The Data Management Suite team is building products that cover the whole lifecycle of data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance.
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You will be working on teams responsible for the architecture, design, development, integration and validation of next generation PC platforms. - You will also have domain expertise in one or more of the following areas: Security, Audio, Media, Graphics, Display, Touch, Power and performance, Thermal and Energy management, Imaging/Camera, IO devices (USB, Type-C, PCIe, etc.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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You will be working directly with key external OEM partners, field application teams, internal development teams, and other stakeholders to bring a portfolio of next-generation Server Platforms to market using AMDs Instinct Accelerators and support them post-production.
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As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. In addition, Borglet is responsible for the machine resource monitoring and enforcement (Memory, CPU, Memory Bandwidth, NUMA, Network, Disk, Accelerators), machine and device management (power monitoring, resets, power cycles, device discovery), faults detection and reporting.
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In this role you will utilize your skills as a test engineer to lead testing execution in coordinate with test engineers and technicians to validate battery packs for next generation consumer electronics.
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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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As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection.
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The Lead Quantitative Data Scientist / Software Optimization Engineer - Develops, updates, and implements mixed-integer linear programming (MILP) optimization models for energy storage, asset management, and energy trading initiatives.
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management engineer data next generation jobs in San Jose, CA
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