Developer Technology Engineer, Energy, Zürich (Kreis 11)

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-nodescalingusingMPI+NCCL,CPU/GPUoverlap,communicationpatterns

Buildreproduciblebenchmarks,performancereports,andtuningrecommendations(before/after,methodology,scalingcurves).

Developandmaintainreferenceimplementations,examples,and/orpatchestocustomercodetoenableperformanceandportability.

Supportcustomerengagements(POCstoproduction),includingdebuggingcorrectness/performanceissuesandadvisingonbestpracticesfordeployment(containers,schedulers,clusters).

Collaboratewithinternalteamstofileactionableissues,validatefixes,andinfluenceroadmapbasedonrealcustomerrequirementsinEnergy.

Build internal libraries and resusable code that would lead to future NVIDIA products.

Whatweneedtosee:

BS/MS(orequivalentexperience)inCS/CE/EE/Physics/AppliedMathorrelatedfield.

StrongprogrammingskillsinC/C++andPythononLinux.

Hands-onexperiencewithCUDAprogrammingandGPUperformanceoptimizationconcepts.

ExperienceprofilinganddebuggingperformanceusingtoolssuchasNVIDIANsightSystems/NsightCompute(orequivalent).

Understandingofparallelcomputingandperformancefundamentals(vectorization,threading,NUMA,memorybandwidth/latency).

Abilitytocommunicatetechnicalfindingsclearlytobothengineersandnon-engineers.

5+yearsrelevant experienceinGPU/HPCoptimization;strongtrackrecordofdeliveredspeedupsandscalingimprovements.

Ways to stand out from the crowd

Leadsperformancereviewswithcustomerstakeholders;createsreusableplaybooks/referencedesigns.Experience/Skills(typical)

HPCexperiencewithMPI,distributedsystems,andmulti-nodeperformancetuning.

Energy/HPCdomainexposure:

Seismicprocessingpipelines,RTM/FWI-stylepatterns,FFT/stencil/linearalgebraheavycodes

Reservoirsimulation(sparse/iterativesolvers),preconditioning,domaindecomposition

Powergridsimulation/transientstability/optimizationworkflows

ExperiencewithCI/perfregressiontesting,containerizedworkflows(Docker/Apptainer),andschedulers(Slurm).

FamiliaritywithAIworkflowsusedalongsidesimulation(dataprep,training/inferenceintegration,pipelineperformance).

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