About this role
Senior presales workstation technologist focusing on NVIDIA Edge products, guiding customers through edge AI architectures and end-to-end GPU-accelerated solutions.
Key Responsibilities
- Serve as technical authority for NVIDIA Edge line
- Provide architecture guidance for AI inference and digital twins
- Design end-to-end edge architectures
- Conduct performance modeling
- Create documentation and playbooks
Technical Overview
Architecture guidance for AI inference and edge workloads; design of end-to-end edge computing architectures integrating GPU compute with orchestration; benchmarking and deployment support.
Ideal Candidate
The ideal candidate is a senior platform engineer with 5+ years of GPU/edge AI experience, strong CUDA/TensorRT expertise, and a track record of architecting NVIDIA-based edge solutions for enterprise workloads.
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 across technical and executive audiencesExperience with NVIDIA JetsonOmniverseAI Enterpriseor NIM microservicesBackground in HPCroboticsindustrial automationor digital twin workloads
Nice-to-Have Skills
NVIDIA DLI certificationAWS/GCP/Azure AI certificationsExperience with NVIDIA JetsonOmniverseAI Enterpriseor NIM microservices
Tools & Platforms
NVIDIA JetsonOmniverseNVIDIA Edge platformsDockerKubernetesGPU OperatorCUDATensorRTONNX Runtime
Required Skills
5+ yearsCUDATensorRTONNX RuntimeLinuxWindowsDockerKubernetesGPU OperatorNVIDIA JetsonOmniverseAI EnterpriseNIM microservicesHPCroboticsdigital twin
Hard Skills
NVIDIA CUDATensorRTONNX RuntimeLinuxWindowsDockerKubernetesGPU OperatorNVIDIA JetsonOmniverseAI EnterpriseNIM microservicesHPCRoboticsDigital twin
Soft Skills
Excellent communication skillsCross-functional collaborationTechnical leadershipCustomer-facing presentationProblem solving
Certifications
Preferred
NVIDIA Deep Learning Institute (NVIDIA DLI)AWS Certified AI SpecialtyGoogle Cloud Platform (GCP) AI CertificationAzure AI Engineer Associate
Keywords for Your Resume
presales workstation technologistnvidianvidia edgenvidia gpucudatensorrtonnx runtimelinuxwindowsdockerkubernetesgpu operatorai enterprisenvi jetsonomniversenim microservicesedge aihpcdigital twinawsgcpazurejetsonaws gcp azure ai
Deal Breakers
Lack of 5+ years in advanced computing / edge AI, No experience with CUDA/TensorRT/NIOM
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