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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 10 days ago
model associating distributed parallelism, multicore parallelism, and accelerator parallelism to enable high performance pipeline runs of the software on GPU-based supercomputing architectures
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classified national security and scientific missions. Architect scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure
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frameworks (FISMA, NIST, FIPS). Experience with cloud platforms (AWS, GCP, Openstack), CI/CD, and Agile methodologies. Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA
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-time computing on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused
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scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure. Establish technical standards, architectures, and
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networks, and deploy scalable solutions on modern HPC and GPU-accelerated systems. This role includes supporting climate and geophysical science applications, enabling large-scale AI training and
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-funded fellow, you will have early access to the Empire AI clusters, utilizing state-of-the-art GPU architectures to push the boundaries of structural biology. This position is a prestigious Empire AI
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with unverified systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel
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outstanding candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and
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working with AI systems openly and ethically. Its core is a studio of high-performance GPU workstations hosting open-source models locally (image, video, audio and language) where staff and students can