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Field
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analysis and tuning. Excellent C/C++ and Python programming skills. GPU programming (CUDA) would be welcome. Required Documents Resume
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(PyTorch/JAX), model/dataset libraries (Huggingface transformers/diffusers), and efficient kernels (Triton/CUDA) Contributing to research projects on adaptive memory, latent tokenization, sparse attention
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methods. Deploying software on embedded compute for robots — for example, NVIDIA Jetson, CUDA, TensorRT, Docker. Required Documents Resume
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pipelines). Familiarity with high-performance computing (GPU, CUDA, Slurm, etc.). Notions of full-stack software development or a willingness to develop these skills. You possess strong problem-solving and
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, CUDA) and high-performance interconnects (e.g., InfiniBand). Preferred Qualifications: Familiarity with advanced storage solutions and parallel file systems (e.g., Lustre, GPFS, or BeeGFS). Professional
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. Proficiency with HPC applications and programming models (Fortran, C/C++, Python, MPI, OpenMP, CUDA, OpenACC). Demonstrated track record of managing complex HPC systems, including parallel file systems, job
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/or CUDA and high-performance interconnects such as InfiniBand. Experience with HPC performance analysis, monitoring, benchmarking, and optimization. Demonstrated understanding of cybersecurity
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Lmod, package managers like Spack, CUDA. Experience with Ansible as a deployment and orchestration framework. Experience with virtualization and/or container technologies (VMware, Proxmox, KVM, Podman
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Lmod, package managers like Spack, CUDA. Experience with Ansible as a deployment and orchestration framework. Experience with virtualization and/or container technologies (VMware, Proxmox, KVM, Podman
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dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming skills are very important. Experience with C/C++, Python, Julia, MATLAB, CUDA, or a comparable