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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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At the higher level the candidate should have experience in software engineering practices as well as experience in programming methodologies for high performance computing including MPI, OpenMP, or CUDA.
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Java, Python, CUDA, and MATLAB. Collins Aerospace is looking for a Senior Principal Systems Architect for Contractor Inventory Control Point (CICP) to join our team. At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be.
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Experience with CUDA, TensorRT. Background with Vulcan, OpenGL. Senior Systems Software Engineer, Autonomous Vehicles Scheduling. We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Graphics for the self-driving platform architectures.
$116,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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What You’ll Bring·Strong understanding of NVIDIA GPUs, AI frameworks such as CUDA, cuDNN, and TensorRT, as well as proficiency in NVIDIA software solutions like CUDA Toolkit and NVIDIA Deep Learning SDK.·Extensive experience in solution architecture: Proven track record of designing and implementing complex technical solutions, with a focus on NVIDIA technologies, within diverse client environments.
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Proficient with image graphics processing using OpenGL, OpenCL, DirectX, CUDA, etc. OpenGL/DirectX, and CUDA code to reduce runtime. Assist in building prototypes for high-impact research demos.
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Experience with high-performance computing (numerical libraries like Intel MKL, GPGPU libraries such as CUDA, parallel programming libraries like OpenMP, etc.) Matrix Research is an employee-owned, small business advancing the State of the art in radar systems, radio frequency, and sensor exploitation technologies.
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Experience developing GPU software, particularly with Nvidia Cuda, is highly desirable; SYCL and OpenCL is a PLUS. and/or Cuda implementations of signal processing algorithms and time critical control functions involved in direct control of sensor systems running on Linux.
$77,000 - $163,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NVIDIA CUDA GPU development / optimization. Leidos, Dynetics, Group is seeking a talented Senior Software / Radar Engineer to join a diverse, highly skilled team to create unique solutions for complex problems involving radar systems.
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VMware vSphere 6 and up Scripting (BASH, Python, Perl) CUDA, TensorFlow, similar toolsets. IAT II Level Certification (e.g., Security+ CE , CCNSecurity, CySA+, GICSP, GSEC, CND, SSCP) VMware vSphere 6 and up Scripting (BASH, Python, Perl) CUDA, TensorFlow, similar toolsets.
$150,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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.
$107,300 - $199,600 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience withspecialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL, CUDA, TensorRT. Optimize and scale cutting-edge research to work efficiently on robot’s compute and sensors.
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Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL) Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/wireless sensing systems.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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And accelerated programming stacks (CUDA, MPI, AVX, or similar) We have built one of the world's most sophisticated computing environments for research and development. and accelerated programming stacks (CUDA, MPI, AVX, or similar.
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Threads, Kokkos, CUDA, etc. As a Scientist 2, you will perform research and development to improve Monte Carlo particle transport simulation in areas that support the national-security programs and mission of the Laboratory.
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cuda job Title: senior research scientist Company: Applied Research Associates
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