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Mathworks MATLAB, OpenCV, Python, CUDA, along with experience with a machine learning frameworks such as PyTorch, Caffe, Tensorflow, Jupyter Notebook; ability/willingness to learn other languages/tools, e.g. NumPy, SciPy, scikit-image.
$208,505 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with Compute Unified Device Architecture (CUDA) programming, familiarity with QT and Boost Libraries, and build systems such as CMake. Participate in development phases from detailed requirements flow down, trade studies, processing architecture design, hardware selection, firmware and software development, sensor and payload integration and test, spacecraft integration and test, and on-orbit support.
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Parallel Programming & HPC: Experience in parallel computing with MPI, OpenMP, OpenACC, CUDA C/C. Parallel Programming & HPC: Experience in parallel computing with MPI, OpenMP, OpenACC, CUDA C/C.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with HPC hardware and software is also a strong advantage - delivering great experiences with Infiniband, RDMA, CUDA, MPI, Slurm, Lustre, Singularity and related technologies will be central to this team's work.
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Experience with GPU programming, including CUDA or RAPIDs. As a Generative Artificial Intelligence (GenAI) engineer, you understand how to harness the power of emerging large language model (LLM) and GenAI tools to build solutions that enable clients to take advantage of their data and offer new solutions to customers.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with CUDA. Master or PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing. We are building the foundational behavioral model for Amazon Stores using LLM and Large Model training techniques that fuses general world knowledge with Amazon e-commerce domain knowledge.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Spearhead the upgrade of crucial libraries and dependencies, including Python, OpenCV, and CUDA, ensuring seamless compatibility and performance. Spearhead the upgrade of crucial libraries and dependencies, including Python, OpenCV, and CUDA, ensuring seamless compatibility and performance.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine.
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Experience with GPU acceleration (i.e. CUDA and cuDNN) Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Experience with GPU acceleration (i.e. CUDA and cuDNN.
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Interface with the engineering teams to design, develop, and integrate sensor hardware and software, including sensor electronics, FPGA processing boards, DSP/ARM/PowerPC boards, PCI & VPX busses, health, and status circuits, cryocoolers, and sensor data interfaces.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers.
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Experience with TPU/GPUs and deep learning frameworks such as PyTorch, TensorFlow, CUDA, and ROCm. Experience with TPU/GPUs and deep learning frameworks such as PyTorch, TensorFlow, CUDA, and ROCm.
$375,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Miscellaneous Tools and Technologies: JIRA, Auto Gluon, GitHub Actions, GitHub Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers, BERT, T5, Sentence Transformers, Foundational models.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Expert with GPU computing (CUDA, OpenCL) and HPC system software stack. 3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace. Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes. NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions.
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cuda job in San Diego, CA
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