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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experienced in installing and configuring Nvidia/AMD drivers and CUDA. Experienced in installing and configuring Nvidia/AMD drivers and CUDA. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The network is serving the needs across the whole software stack for NVIDIA from Graphics Drivers to Autonomous Vehicles and Artificial Intelligence to Deep Learning frameworks covering internal and external consumption.
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Provide day to day systems administration duties for Nvidia GPUs, Commodity Cluster Systems and Cray HPC environments. Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Leverage a broad stack of technologies - Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Leverage a broad stack of technologies - Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with NVIDIA GPUs and NVIDIA GPU appliances. Remote work including partial or fully remote (contract and project-dependent). Experience or a desire to learn: Deploying and maintaining Kubernetes applications DevOps and MLOPs IT automation (e.g., SaltStack, Ansible, Terraform, etc.
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Experience maintaining AI/ML environments (NVIDIA hardware and software) Manage, maintain, configure, and deploy system integration tools such as Kubernetes, Rancher, Helm. Experience with Configuration Management and IaC tools such as Salt or Ansible.
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Deploying and maintaining Kubernetes applicationsDevOps and MLOPsIT automation (e.g., SaltStack, Ansible, Terraform, etc.) As the System Administrator you will support a major program advancing the state of the art in Machine Learning Operations (MLOps) supporting mission-focused big data analytics and predictive analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Linux Server/NVidia Admin/ GPU Engineer - TS/SCI. This role requires an individual that has technical experience with administering Nvidia DGX1 and A100 servers within a within a physical and virtual environment.
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You will work closely with FSI's, OEM, GSI’s, and ISV’s, to envision, craft, and execute go-to-market plans that will serve customer requirements and adoption of the NVIDIA products within your defined accounts.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government. Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with high-speed DSP-based and FPGbased signal processing using Xilinx, Intel, AMD, and / or Nvidia products. Experience with high-speed DSP-based and FPGbased signal processing using Xilinx, Intel, AMD, and / or Nvidia products.
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Experience with machine learning hardware, including AMD, NVIDIA DGX, or small form factor HW, such as Jetson or Xavier. Experience with machine learning hardware, including AMD, NVIDIA DGX, or small form factor HW, such as Jetson or Xavier.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with data engineering tools such as Kubernetes/Rancher, Cloudera. Under this multi-Task Order 10-year contract, we support DOMEX Data Discovery Platform (D3P) Modernization program as well as NMEC’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Familiarity with several cpu and gpu compilers including gcc, Intel, AMD (AOCC, ROCm) and NVIDIA (PGI OpenACC,CUDA) Familiarity with several cpu and gpu compilers including gcc, Intel, AMD (AOCC, ROCm) and NVIDIA (PGI OpenACC,CUDA.
Full-timeExpandApply NowActive JobUpdated 1 month ago
nvidia job in Washington, DC
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