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Parallel programming with CUDA or OpenCL, with previous experience with custom ASIC / hardware accelerator chips. Experience with at least one of the following preferred: Cuda/OpenCL, SIMD, and multithreading a plus.
$104,000 - $360,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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An ideal candidate is very comfortable in cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc.
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Languages a plus (CUDA, OpenVX, NEON, etc.) Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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CUDA, and kernel-level programming enhancements. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity, Strong programming skills and proficiency in Python, TensorFlow/PyTorch, and other ML frameworks.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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They also develop tools to debug (cuda-gdb), profiler utilizing the accelerated computing hardware (such as PE’s/SFU etc in MTIA or Transformer engine in H100). Proficiency in GPU programming using CUDA and familiarity with CUDA libraries (cuBLAS, cuDNN, etc.
$177,008 - $251,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in vector similarity search algorithms or GPU programming (e.g., CUDA) is preferred. Experience in vector similarity search algorithms or GPU programming (e.g., CUDA) is preferred. Provide support for the optimization of popular vector indexing algorithms.
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Founding Compute Physics Engineer - CUDA/GPU. Founding Compute Physics Engineer - CUDA/GPU. Strong background in machine learning algorithms, deep learning, and natural language processing. Influencer/Affiliate Marketing Lead.
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Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Turing, Ampere) Experience with TensortRT and custom CUDA layers. Experience with SQL, DataBricks, Looker, or other business intelligence tools.
$211,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience withspecialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL, CUDA, TensorRT. Experience withspecialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL, CUDA, TensorRT.
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And/or CUDA with a demonstrated ability to write efficient, scalable, and well-documented code. Tailor established unsupervised computer vision algorithm methods to more effectively tackle the unique computer vision obstacles encountered in cryo-EM data processing.
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As a member of the Autopilot AI team you will design, implement, and optimize deep learning dataset generation, training, and evaluation tools and infrastructure to advance the state of the art in perception and control for autonomous driving.
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Experience with low-level optimizations, such as CUDA kernel programming, is highly regarded but not mandatory. Craft advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow, particularly for generative media applications.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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CUDA, and kernel-level programming for AI applications. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity, streaming, and caching, for model performance enhancements.
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Experience with parallel computing platforms such as CUDA, RoCM and OpenCL Platform services (program, control, and monitor Optics, PHY, FPGAs, sensors, fan control, power etc), BSP/Board Support Package, Operating Systems, Kernel, Bootloader, Power Management, RTOS, Linux.
$146,994 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Candidates are expected to work independently and acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.
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cuda job in San Carlos, CA
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