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networks. Experience securing research funding, managing research programs, and building academic partnerships. Experience with embedded systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU
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background in computer systems, GPU programming. Experience with CUDA, Triton, PyTorch, and LLM inference frameworks. Experience in research and good publication record. Track record first-author publications
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Shell scripting. • HPC & Containerization: Solid understanding of HPC environments, MPI, CUDA, Slurm workload management, and containerization tools like Apptainer. • Cloud Infrastructure: Proven
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, AlphaFold2/3). Familiarity with Docker/Singularity for reproducible HPC environments. Experience with CUDA -level optimization or debugging hardware-specific performance differences. Basic knowledge
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CUDA Experience with graphical frameworks such as Qt (PySide6/PyQt) Experience with GitLab CI/CD tools for software testing and deployment Experience using and creating Docker files for reproduceable
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 12 hours ago
collection, and analysis. Training on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and