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Gpu Performance Architect Intern - Summer jobs at Nvidia
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305 jobs found
01.12.2024
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Nvidia Senior HPC Performance Engineer - AI Science Scale United States, Texas
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Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as GPU porting, data structure innovations, distributed learning technologies....
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01.12.2024
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Nvidia Senior Accelerated Computing Architect United States, California
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Collaborate across the company to guide the direction of Accelerated Computing HW/SW by working with architecture, software, and product teams. Drive and deliver innovative technology across several domains such as...
01.12.2024
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Nvidia Memory System Quality Architect United States, Texas
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You will analyze future DDR/LPDDR/HBM technologies to map trends in performance, power, defectivity, and margins relative to Nvidia product segment goals. You will work with memory system architects and external...
01.12.2024
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Nvidia Senior System Software Engineer - GPU United States, California
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Define, design, and develop GPU system software components with focus on power and performance. Influence next generation GPU architecture and system software by creating internal architecture specification and design specification....
01.12.2024
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Nvidia Senior System Performance Power Engineer United States, Texas
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Build roadmaps of system level features to address low power, low noise, perf/watt efficient product needs by doing prototyping, use case analysis, and system level cost/benefit tradeoff. Architect, design, and...
01.12.2024
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Nvidia Principal Systems Architect United States, California
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Serve as an individual system architect with expertise in systems/platform architecture, SoC architecture, Performance and Power analysis, benchmarks, use case workload analysis with focus on AI and good knowledge in...
01.12.2024
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Nvidia PhD Research Intern Computer Vision Deep Learning - United States, Texas
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Design and implement novel computer vision and machine learning methods. Collaborate with other team members, teams, and/or external researchers. Transfer your research to product groups to enable new products or...
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Description:Full job details
Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as GPU porting, data structure innovations, distributed learning technologies....
These jobs might be a good fit
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