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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 Yesterday - 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 5 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. Senior Solutions Architect, Machine Learning page is loaded.
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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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CUDA, VHDL, OpenCL, SysML, Python, or other scripting languages. Computational electromagnetics, wave theory, RF propagation modeling, antenna design, and RF chain analysis. Understanding of RF propagation modeling, computational electromagnetics, wave theory, antenna design, and RF chain analysis.
Full-timeExpandApply NowActive JobUpdated 7 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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Proficiency with NVIDIA's edge technologies (CUDA, Deepstream, & TensorRT SDKs.) 5 yrs usage of CUDA, PyTorch, TensorFlow-or similar. Proficiency with NVIDIA's edge technologies (CUDA, Deepstream, & TensorRT SDKs.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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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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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 10 days ago - UpvoteDownvoteShare Job
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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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NVIDIA Jetson & CUDA experience. CUDA, Python, VHDL). NVIDIA Jetson & CUDA experience. A background in autonomous systems, embedded signal processing, AI and ML techniques, or underwater networking and navigation would be beneficial.
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Familiarity with CUDA programming for Nvidia GPUs. Familiarity with CUDA programming for Nvidia GPUs. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.
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Tools: LangChain, experience with GPT-4 or similar LLM model or API, Python, PyTorch, NumPy, Pandas, GCP, CUDA, Docker, Kubernetes, BigQuery, SLURM, large scale distributed systems. As a Senior Machine Learning Engineer, You Will Be Building a Platform That Accelerates Drug Discovery With Machine Learning For a Wide Variety Of Use Cases With Respect To Data Modality, Model Architecture, And Model Size. By Leveraging Your Experience In Machine Learning, Software Engineering, Infrastructure, And Data, You Will.
$170,000 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
cuda job Title: senior scientist Company: Applied Research Associates
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