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Field
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GPU programming would be particularly relevant. Experience with numerical methods on unstructured meshes or HPC performance optimisation would be advantageous. See the job description for further
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 14 days ago
programming and GPU programming on high performance platforms; Knowledge of code validation and code verification. Languages Excellent spoken and written English level Relational skills Personal implication
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developing GPU-based CFD solvers, especially JAX-Fluid and/or JAX-CFD • Strong ability of programming More Information Location: Kent Ridge Campus Organization: College of Design and
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) services, AI agent orchestration platforms and GPU-enabled AI infrastructure. Responsibilities: Platform operations and reliability Own day-to-day operations of SEA-LION API Farm, our multi-cloud LLM
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several of: Python, C/C++, Rust, OCaml, or other functional languages Knowledge of one or more of the following, with strong motivation to grow in the others: GPU programming (CUDA, Triton, PTX) or
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designing, operating , automating, and optimizing the GPU and AI and computing infrastructure used by resea rchers across the university , along with the high-performance computing systems that
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designing, operating , automating, and optimizing the GPU and AI and computing infrastructure used by resea rchers across the university , along with the high-performance computing systems that
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(particularly python and C++, and GPU programming, e.g., cuda) and experience in software engineering and design. In addition, training in the use of molecular simulation methods is requisite
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: Documented experience in the development and optimization of scientific software for GPU-based computing platforms. Experience with programming using CUDA, HIP, SYCL, OpenACC, or equivalent technologies
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computing environments. Linux knowledge is required; scripting or programming knowledge such as Python, Bash, or PowerShell is advantageous. Experience with servers, GPU systems, workstations