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Field
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., Kubernetes), public cloud hybrid infrastructure, and administering AI/ML hardware (e.g., GPUs) is highly desirable. Demonstrated ability to program in administrative scripting languages (e.g., Python, shell
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Domain-specific accelerators, e.g., GPUs, tensor cores, dynamic programming instructions (DPX) Software accelerators, e.g., DPDK, eBPF System security and Software Bill of Materials (SBOM) AI/ML
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, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise professional development of direct reports
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 168275 Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and
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, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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the ability to independently drive projects from concept to completion. Bonus Qualifications: Experience with Gaussian Splatting. Familiarity with CUDA, compute shaders, or other GPU programming
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) Country Singapore Application Deadline 27 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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programming in C++ and Python. - Mandatory mastery of GPU programming (CUDA) for optimization. - Experience with Deep Learning frameworks (PyTorch). - Knowledge of the AliceVision architecture is a major asset