About this role
Presales Workstation Technologist – HPI NVIDIA serves as the technical authority for NVIDIA Edge product line, guiding customers and internal teams through design, deployment, and optimization of intelligent edge workloads.
Key Responsibilities
- Serve as the primary technical authority for the NVIDIA Edge product line
- Provide architecture guidance around AI inference, simulation, visualization, digital twins, and advanced workstation workflows
- Design end-to-end edge computing architectures integrating GPU-accelerated compute, storage, networking, and edge-to-cloud orchestration
- Evaluate workload requirements across AI, ML, HPC, visualization, robotics, automation, and industrial edge
- Deliver technical workshops and demos
Technical Overview
Hands-on compute and edge architecture experience with GPU acceleration, CUDA/TensorRT, Omniverse, and AI frameworks; implements end-to-end edge solutions and benchmarks.
Ideal Candidate
The ideal candidate is a hands-on technologist with 5+ years in advanced computing and NVIDIA GPU expertise who can guide customers and internal teams through edge AI workloads and NVIDIA-based solutions.
Must-Have Skills
5+ years in advanced computingGPU systemsworkstation architectureor edge AI platformsBachelor’s degree or equivalent in engineeringComputer Scienceor Data ScienceStrong understanding of NVIDIA GPU architecture (RTXAdaAmpereHopper)Proficiency with CUDATensorRTONNX Runtimeand AI frameworksStrong Linux/Windows workstation performance tuning skillsExperience with containerization (DockerKubernetesGPU Operator)Experience with AI/ML workload optimization or industrial edge deploymentsExcellent communication skills across technical and executive audiencesExperience with NVIDIA JetsonOmniverseAI Enterpriseor NIM microservicesBackground in HPCroboticsindustrial automationor digital twin workloadsCertifications such as NVIDIA DLIAWS/GCP/Azure AIor equivalent
Tools & Platforms
NVIDIA Edge platformsCUDATensorRTOmniverseNVIDIA JetsonDockerKubernetesGPU OperatorNVIDIA Edge
Required Skills
NVIDIA GPU architectureCUDATensorRTONNX RuntimeOmniverseAI frameworksLinuxWindowsDockerKubernetesNVIDIA JetsonNVIDIA AI EnterpriseNIM microservicesHPCRoboticsDigital Twin
Hard Skills
NVIDIA GPU architecture (RTXAdaAmpereHopper)CUDATensorRTONNX RuntimeOmniverseAI frameworksLinuxWindowsDockerKubernetesGPU OperatorNVIDIA JetsonNVIDIA OmniverseAI EnterpriseNIM microservicesHPCRoboticsDigital Twin
Soft Skills
Excellent communication skills across technical and executive audiencesProblem solvingCustomer engagementDemos and workshopsArchitectural guidance
Certifications
Preferred
NVIDIA DLIAWS AIAzure AIGCP AI
Keywords for Your Resume
presales workstation technologistnvidia edgegpu architecturecudatensorrtonnx runtimeomniversenvidia jetsonai enterprisenim microservicesedge platformshpcroboticsdigital twindockerkuberneteslinuxwindowsarchitecture guidanceworkshopsdemosedge computing
Deal Breakers
5+ years in advanced computing or GPU systems, Strong CUDA/TensorRT expertise, Bachelor's degree in engineering/CS/Data Science
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