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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 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 5 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.
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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.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 5 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.
$157,500 - $236,300 a yearFull-timeExpandApply NowActive JobUpdated 6 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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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 11 days ago - UpvoteDownvoteShare Job
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Programming in High-Performance Domain-Specific Languages for GPU or ML ASIC Computing (HIP, CUDA, OpenCL, Triton, KNYFE, Mojo) Programming in High-Performance Domain-Specific Languages for GPU or ML ASIC Computing (HIP, CUDA, OpenCL, Triton, KNYFE, Mojo.
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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.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Experience with GPU programming, including CUDA or RAPIDs. Experience with artifi cia l intelligence, data science, ML engineering, data research, software engineering or data analytics. Ability to work in deep learning, computer vision, NLP, or chatbot development.
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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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Familiarity with Nvidia GPUs, software stacks (CUDA, NCCL), and distributed computing technologies. Additionally, the institute is hiring senior engineers with deep experience in AI/ML data systems to facilitate cutting-edge research.
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The second layer consists of a dynamic set of nodes in the network that render services following our innovative Invoke-Return-Combine paradigm. This approach is not just a step forward in AI technology; it's a leap towards user-centric, democratized AI.
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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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cuda job Title: senior research scientist Company: Applied Research Associates
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