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Join us in developing the CUDA Quantum platform for programming powerful hybrid quantum-classical multi-processor systems. Contributing to the development of CUDA Quantum by enabling performance optimizations and GPU acceleration within the compiler and runtime.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with higher-level code development, including Nvidia CUDA, OpenCL, Simulink HDL Coder, and Xilinx System Generator. Ability to obtain a DoD-8570 IAT-Level II Certification, including Security+ CE, CYSA, SSCP, or GSEC within 6 months of hire.
$58,300 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful. 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
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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.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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What you will be doing:In this position, you will research and develop techniques to accelerate leading applications in quantum computing by leveraging the NVIDIA platform – cuQuantum and CUDA Quantum in particular.
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C, and Python for robotics applicationsHistory of architecting, testing, deploying, maintaining, and improving AI (CV, ML, DL) on edge computing devices or serversContributed to production-level code with CV, ML, or DLImplemented robotics applications that use multithreading, multiprocessing, and/or CUDA without ROS.Strong understanding of control theory with implementation history (Kalman filtering, particle filtering, PID, MPC, etc.
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Preferred Qualifications Familiar with CUDA programming Familiar with popular game engines like Unreal and Unity Familiar with digital content creation tools & pipeline, including but not limited to maya, 3dmax, blender.
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What You'll Be Doing:Contributing to the development of CUDA Quantum by adding support for its novel programming paradigms in Python, C. You will be working closely with teams across NVIDIA to create a seamless integration of the CUDA Quantum programming model other tools and offerings.
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Or MISRA.Experience with CUDA, TensorRT. Background with Vulcan, OpenGLTrack record integrating and delivering functional and performant real-time and/or distributed systemsBackground in computer vision and GPU computing.
$116,000 - $224,250 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Applied Research Associates, Inc. is an employee-owned international research and engineering company recognized for providing technically superior solutions to complex and challenging problems in the physical sciences.
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Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development.
$91,200 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency with NVIDIA's edge technologies (CUDA, Deepstream, & TensorRT SDKs.) 5 yrs usage of CUDA, PyTorch, TensorFlow-or similar. Master's or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, Operations Research, Machine Learning, Control Engineering, Industrial Engineering, or related field.
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Experience with CUDA. Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs. Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA, and infrastructure as code (IaC) frameworks and services, including Terraform or CloudFormation.
Full-timeExpandApply NowActive JobUpdated 6 days ago
cuda job Title: research scientist Company: Applied Research Associates
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