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Field
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software including Red Hat Linux, CentOS, OpenStack, NVIDIA CUDA, TensorFlow, SQL Server, and MySQL. A large-capacity Ceph storage system is available for standard and archival storage. CAC configured and
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modules, AWS, Azure, GCP, or comparable services. Experience supporting GPU, AI/ML, CPU-intensive, statistical, imaging, compiler/toolchain, Fortran, MATLAB, R, Python, CUDA, or other discipline-specific
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of Alps, managing the full dependency stack (CUDA, NCCL, PyTorch, training and serving frameworks) Keep image builds reproducible, versioned, and documented, including CI for builds and upgrades Validate
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application programming models such as CUDA, HIP, SYCL, OpenMP, Kokkos or Raja, vectorization; MPI; and one-sided asynchronous programming models. Experience in heterogeneous computing, developing and debugging
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration(new optional emphasis): Explore how
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
and GPU computing infrastructure (CUDA, etc.). Solid understanding of IT security principles (ISO 27001, NIS2) and data protection laws (DSGVO, DSG) as applied to both enterprise and research data
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, software, and technical services. Lead and manage staff fostering specialization in a wide range of scripting and coding languages (e.g., Python, R, MATLAB, C/C++/CUDA, SQL), providing a wide range of
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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and
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system diagnostics. Experience with CUDA and deployment on NVIDIA edge-GPU platforms (Jetson Orin, Thor, or Spark). Experience calibrating and synchronizing LiDAR, IMU, camera, and wheel-odometry systems
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, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered