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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
management, and security * Proven experience designing or supporting environments for AI/ML workloads (e.g., GPU nodes, distributed training, scalable storage) Preferred Qualifications, Competencies, and
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configuration and management Knowledge of Linux and GPU scripting, storage management, quantum computing, and cloud systems Here's how to apply: Please submit your updated resume and a short cover letter
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performance. The Project/Program Manager (Systems Engineer) focuses on the deployment, configuration, monitoring, and maintenance of GPU-enabled servers, virtualized environments, and hybrid infrastructure
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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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, advancing bioinformatics-driven research, facilitated by exceptional computational infrastructure including a centrally administered high-performance CPU and GPU cluster and network storage. This includes
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as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
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free text of both biomedical literature and electronic patient records exploiting HPC, including GPUs embedded within NHS infrastructure. Development and deployment of ML operations software and tooling
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Description Primary Duties & Responsibilities: Lead the optimization of large-scale LLMs and deep learning architectures for biomedical research. Design and deploy high-performance AI systems using GPUs and
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the optimization of large-scale LLMs and deep learning architectures for biomedical research. Design and deploy high-performance AI systems using GPUs and hardware accelerators. Interact and collaborate
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experience. PACU/Critical Care/GPU experience strongly preferred. Experience working with patients 6 weeks in age to 25 years of age preferred. Licensure/ Certifications: Current Massachusetts license as a