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Experience with Nvidia CUDA libraries and GPUs. Gather data and report finding to senior HPC engineers. We are looking for you to join our team as an HPC Linux Engineer based out of Woodland Hills, CA. As an HPC Linux Engineer at Northrop Grumman you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation.
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Experience in programming for GPUs or other accelerators (CUDA, Triton, Pallas, etc.) Conduct innovative research on deep learning for price forecasting. Experience in computationally intensive research on very large data sets.
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We are looking for an exceptional Research Scientist to join our Emerging Technologies team. This team works on cutting-edge optical sensor research involving innovative design, selection, and implementation of emerging optoelectronic components, as well as system integration, testing, and troubleshooting.
$106,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures. As a Senior Signal and Sensor Modeling Engineer , you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space.
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Python, CUDA. Basic knowledge of radiation therapy is desired but not required. Postdoctoral Position in Medical Imaging and Image-Guided Radiation Therapy-(MH)The Department of Radiation Oncology at the University of Maryland School of Medicine is seeking a highly motivated postdoctoral fellow to perform cutting-edge research in image-guided radiation therapy.
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We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA’s Tensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.What you'll be doing:Writing highly tuned compute kernels, mostly in C.
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Experience with high speed networking, and CUDA preferred. Praxis University: Cyber Research, Data Analytics, IoT , AWS and RedHat course offerings and hands-on training. Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master.
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Familiarity with HPC hardware and software is also a strong advantage - delivering great experiences with Infiniband, RDMA, CUDA, MPI, Slurm, Lustre, Singularity and related technologies will be central to this team's work.
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Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) Established track record of deploying solutions in cloud computing environments including AWS, GCP, or AzureKnowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deploymentsAbility to use at least one scripting language (i.e., Python)Good programming and debugging skillsAbility to communicate your ideas/code clearly through documents, presentation etc.
$112,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum five years overall experience in technical roles supporting GPU Infrastructure setup using InfiniBand Experience with interconnections between InfiniBand & GPU’s Experience with GPU Enabled MPI’s Experience with GPU Nvidia CUDA or AMD’s ROCm Experience with; H100, AMD MI210, GPU servers in Cluster Customer deployments and ensure on-time bring-up of GPU Servers.
$130,200 - $241,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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A Research Scientist position is immediately available in the laboratory of Xuewei Wang in the Department of Molecular Medicine and Neuroscience Institute at University of South Florida Morsani College of Medicine in Tampa.
$42,150 - $53,000 a yearFull-timeExpandApply NowActive JobUpdated 11 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.
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Knowledge of GPU acceleration for deep learning training (e.g., CUDA). Research and Innovation: Stay up-to-date with the latest advancements in computer vision research and explore new methodologies to improve our visual recognition capabilities.
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The company is led by co-founders with PhDs in AI, Blockchain, Math and Systems, is ready to redefine computing. The traditional belief that trust in decentralization hinges solely on consensus/blockchain is evolving.
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Experience with CUDA, CMake and Rust is a plus. As a Senior Software Engineer on the Imaging Technology Team, you will build open source software to support this mission, working closely with a collaborative, multi-disciplinary team.
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cuda job Title: senior research scientist Company: Applied Research Associates
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