Senior Solutions Architect Cloud Infrastructure Devops - Nvis jobs at Nvidia in Canada, Area A (seymour Inlet/knight Inlet)
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Canada
Area A (seymour Inlet/knight Inlet)
9 jobs found
01.12.2024
N
Nvidia Senior Solution Architect HPC AI - NVIS Canada, British Columbia, Area A (Seymour Inlet/Knight Inlet)
Primary responsibilities will include building robust AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time...
Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and...
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools. Develop and maintain continuous integration and delivery pipelines . Develop...
Enhance and scale our compute platform to support diverse workloads on GPUs and CPUs. Design and build scalable and distributed services to power large scale workloads. Design and build scalable...
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools. Develop and maintain continuous integration and delivery pipelines . Develop...
Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and...
Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud...
Primary responsibilities will include building robust AI/HPC infrastructure for new and existing customers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time...
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