NVIDIAislookingforapassionate, world-class computer scientists and engineers (ComputeDeveloperTechnology- DevTech)toaccelerateEnergysimulationandAIworkflowsonNVIDIAplatforms.YouwillfocusonCUDAperformanceoptimizationforworkloadssuchasseismicprocessing(e.g.,imaging/inversionpipelines),reservoirsimulation,powergridsimulators,andrelatedHPC/AIproductionworkflows.Youwillworkhands-onwithcustomerandpartnerengineeringteamsaswellasNVIDIAproductandengineeringgroupstodelivermeasurablespeedupsandscalableperformanceonmulti-GPUandmulti-nodesystems.

Whatyou willbedoing:

• 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...