NVIDIAislookingforapassionate, world-class computer scientists and engineers (ComputeDeveloperTechnology- DevTech)toaccelerateEnergysimulationandAIworkflowsonNVIDIAplatforms.YouwillfocusonCUDAperformanceoptimizationforworkloadssuchasseismicprocessing(e.g.,imaging/inversionpipelines),reservoirsimulation,powergridsimulators,andrelatedHPC/AIproductionworkflows.Youwillworkhands-onwithcustomerandpartnerengineeringteamsaswellasNVIDIAproductandengineeringgroupstodelivermeasurablespeedupsandscalableperformanceonmulti-GPUandmulti-nodesystems.
Profile,analyze,andoptimizeGPU-acceleratedapplicationswithemphasisonCUDAkernels,memorymovement,concurrency,andend-to-endthroughput.
Driveperformanceimprovementsacrossthestack:
CUDAC++kerneloptimization,launchconfiguration,memoryhierarchy,streams/events
GPUlibraries(asapplicable):cuBLAS,cuFFT,cuSPARSE,cuSOLVER,NCCL
Multi-GPUandmulti-n...
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