NVIDIAislookingforSenior Customer Success/Partnership SolutionsArchitecttojoinitsNVIDIA InfrastructureSpecialistTeam. Academic andcommercialgroupsaroundtheworldareusingNVIDIAproductstoredefinedeep learning anddataanalytics, andtopowerdatacentersWearebuildingmanyofthelargestandfastestAI/HPCsystemsintheworld!Wearelookingforsomeonewiththeabilitytoworkon adynamiccustomerfocusedteamthatrequiresexcellentcommunicationskills

Thisrolewillbeinteractingwithcustomers,partnersand internalteams,toanalyze,defineandimplementlargescaleNetworkingprojects ThescopeoftheseeffortsincludesacombinationofNetworking, System Design and Automation andbeingthefacetothecustomer!

Whatyou'llbedoing

• Lead the hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.

• Serve as a senior technical authority on NVIDIA technologies, contributing to architecture reviews and guiding infrastructure decisions at scale.

• Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to detect bottlenecks and improve infrastructure resiliency.

• Join post-deployment reviews, incident retrospectives, and sessions to craft the customer experience and provide insights into NVIDIA’s infrastructure strategy.

• Completeandleadcomplextechnicalprojectsfrom initial designthroughimplementationandcontinuousimprovement,ensuringalignmenttoSLAs andmitigationoftechnicalrisks

• SupportbusinessgrowthbyidentifyingAIinfrastructureopportunitiesincloudandenterpriseenvironmentsanddrivingtechnicalinitiativesthatshowcaseNVIDIA’sleadershipinthisspace

What we need to see:

• 10+ years of experience in large-scale data center service operations with a focus on infrastructure.

• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

• Stronganalytical,solvingproblems, anddecision-makingskills,capableofidentifyingrootcauses,drivingcontinuousimprovement, anddeliveringresilienttechnicalsolutions

• Strongcommunication, timemanagement, and organizationalskills, withtheabilitytoleadcomplexprojects,guidetechnicalteams

• Preferredcertificationsindatacenter,server, ornetworkingtechnologies, and awillingnesstotravelupto25%forcustomerengagementsand teamcollaboration

• Proficiencyin system-levelaspects,encompassingOperating Systems, Linuxkerneldrivers, GPUs, NICs, andhardwarearchitecture

• Shownexpertiseincloudorchestrationsoftwareandjobschedulers,includingplatformslikeKubernetes, Docker Swarm, and HPC-specificschedulerssuchasSlurm

• Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.

Ways to stand out from the crowd:

• Deepfamiliaritywith AIinfrastructureandworkflows,includingtraininginferencepipelines,MLOpsDevOpstools,containerization(Docker,Kubernetes), and large-scalesystemdeployments

• Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures.

• Good interpersonal and collaboration skills, with the ability to lead discussions, influence outcomes, and build positive relationships with both internal and external collaborators.