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We collaborate with a broad cross section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. Prior experience with performance aspects of Operating system intrinsics (e.g.: Linux scheduling), GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow.
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CUDA, VHDL, OpenCL, SysML, Python, or other scripting languages. What that means in practice is we are developing the new capabilities and technologies the company needs to deliver innovative solutions to our customers; this is inclusive of Research and Development (R&D) efforts.
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Experience with Torch, TensorFlow, and CUDA. Experience with real-time processing of IQ sample streams from SDR front end using optimized CPU (SIMD) and/or GPU (CUDA) kernels. Experience working with libraries such as CUDA, MKL/IPP, Boost, PyTorch.
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Ability to prioritize, work independently and under direct supervision from senior lab personnel (e.g. Principal Investigator, Associate Research Scientist) Preferred: Preference will be given to individuals with familiarity with a digital signal and/or image processing; Interest in clinical and/or ultrasound research preferred (can include undergrad volunteering in a research lab); coding in CUDA or C/C.
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Familiarity with ROS, Gazebo, RVIZ, PCL, CUDA, TensorFlow, TensorRT, Pytorch, Caffe, g2o, Ceres, GTSAM. and parallel software in CUDA / OpenCL. The successful candidate will play a pivotal role in the research, development, and design of the most innovative algorithms and software used for autonomous drone technology.
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Proficiency in developing scientific simulations for high-performance and/or heterogeneous computing systems (e.g., use of MPI, OpenMP, Cuda/HIP, or other HPC technologies). Our projects span the range from smaller, focused research codes/modules to multi-physics, multi-application production codes.
$132,810 - $204,636 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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Familiarity with CUDA and managing GPU-accelerated computing systems. Industry Insight: Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry, contributing to research efforts and proposing Linux-specific approaches to GPU design and optimization.
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Published research or contributions in the GPU industry, especially related to Linux. An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP.
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NVIDIA CUDA GPU development / optimization. Opportunities for advancement into senior technical roles, as well as project or personnel management are also available. Support Advanced Technology Radar and EW programs including software for high-speed data acquisition, data distribution, and real-time signal processing; integration of COTS and custom technologies into prototype sensor systems; field testing of RF sensors and systems; and CONUS/OCONUS deployment of advanced sensor systems.
$65,000 - $117,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with programming and scripting languages (e.g., VHDL, C, C , CUDA, Matlab, Python, Bash) using common industry standards and open architecture approaches. + Significant customer interaction, initiating customer contact to create new business opportunities at DoD and IC research and development organizations such as DARPA, AFRL, ONR, ARL, SDA, IARPA, NRO.
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Has an existing network of USG Customer contacts at DoD and IC research and development organizations, or has experience growing and maintaining a Customer contact network. Through research and development (R&D) programs funded by science and technology R&D organizations within the U.S. Department of Defense, Intelligence Communities and their transition counterparts, our teams fearlessly innovate to create game-changing technologies and capabilities that protect our country and our warfighters.
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Be a Principal Investigator for programs, setting technical direction and guiding teams in executing complex research projects that regularly involving multiple technical fields. As a REXAS TDD, you will drive disruptive RF Exploitation Solutions technologies and capabilities from research and development efforts into BAE Systems Business Areas products and services.
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Experience with nVidia CUDA and C. Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys.
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Proficiency in programming for GPUs or other accelerators such as CUDA, Triton, Pallas, etc. Engage in groundbreaking research in deep learning for price forecasting. Experience in computationally intensive research with large datasets.
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cuda job Title: senior research Company: Applied Research Associates
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