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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 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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for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Our University
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Shell scripts as well as expertise in the development of Graphical Processing Units including use of CUDA, OpenCL, HIP and GP parallelization. Knowledge and research experience with advanced molecular
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., Python, R, MATLAB, C/C++/CUDA, SQL), providing a wide range of scientific services to researchers spanning analysis, experimental control, instrument automation, custom research development, parallel
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. Experience with development of Triton or CUDA kernels. Experience with distributed training and LLM infrastructure (e.g. Ray, TRL, vLLM, Triton, DeepSpeed, Unsloth, VeRL) and MLOps tooling (MLflow, Weights
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reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding
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performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects
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Ability to balance engineering rigor with the pace of a fast-moving research org Nice to have: Experience with CUDA kernel development or GPU optimization Familiarity with LLM training pipelines Experience
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at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Preferred skills/experience areas include: Python, C++, CUDA, time-series
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configuration, and performance tuning) and NVIDIA GPUs/accelerators with associated drivers and libraries (CUDA, NCCL) in clustered environments. Linux at Scale and Cluster Provisioning: Proficiency managing