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Field
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science or engineering field; a completed PhD is an advantage Very good knowledge of software development with C++ and Python, as well as experience in GPU programming (e.g., CUDA or comparable frameworks
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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with C++, MPI, and OpenMP Experience with CUDA is a plus Ability for analytical and creative thinking across discipline boundaries Excellent communication skills and ability to work in a team Very good
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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commonly used on Unix systems. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP
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workflows, candidates should have strong communication skills in English (B2) and be able to translate scientific needs into robust software and workflows. Desired Experiences with CUDA, OpenMP/MPI
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch # Mandatory experience with High-Performance Computing (HPC
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. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP), Horovod, or DeepSpeed, and in
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plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers