1 to 4 of 4 Permanent CUDA Jobs in England with Remote Work Options

into the NPU framework. What's required for a successful Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced more »

translation, intent recognition, entity recognition, text classification etc Familiarity with recommendation engines - collaborative filtering, content-based, hybrids, graph & knowledge based etc [optional] Familiarity with CUDA and other hardware (GPU) acceleration for deep learning models [optional] Diversity is incredibly important to us. Research shows how people from marginalised groups are more »

object recognition and image classification. Experience with motion analysis, text recognition, and gait analysis would be beneficial. Proficiency in Yolo v5, Python, Anaconda, PyTorch, CUDA, Docker, CVAT, and FiftyOne. My client offers a hybrid working model, balancing flexibility and team collaboration. Their supportive and dynamic culture ensures you have more »

relevant industry experience developing kernels for hardware accelerators. Strong knowledge of CPU, GPU, NPU, or VPU microarchitecture. Extensive experience in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD … is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If more »