✦ Luna Orbit — AI & Machine Learning

Solutions Architect, Data Center Buildouts - NVIS

at Nvidia

📍 2 Locations Unknown Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years 8+ years
Education Bachelor's degree or similar in Computer Science, Engineering, or related; Master's preferred
Category AI & Machine Learning

This role involves developing and delivering advanced AI solutions, leading training sessions, and presenting at conferences, with a focus on Kubernetes, Linux, and GPU workloads in cloud environments.

  • Lead training sessions
  • Speahead customer PoCs
  • Build hands-on labs
  • Present at conferences
  • Drive AI infrastructure solutions

Focus on cloud-native AI infrastructure, Kubernetes, Linux, distributed systems, and GPU workloads, supporting customer success and technical thought leadership.

The ideal candidate is a senior solutions architect with over 8 years of experience in cloud, Kubernetes, and AI infrastructure, capable of leading training, customer engagements, and complex solution deployments. They possess strong communication skills and a proven track record in technical leadership.

8+ years of experienceProven proficiency in KubernetesLinuxcloud computingdistributed systemsExperience leading training sessions and customer briefingsStrong track record of implementing complex solutions
CKA (Certified Kubernetes Administrator)CKAD (Certified Kubernetes Application Developer)GPU workloads on KubernetesTechnical talks at conferences
KubernetesLinuxCloud ComputingDistributed Systems
KubernetesK8sLinuxCloud ComputingDistributed SystemsGPU WorkloadsTechnical TalksAIArtificial IntelligenceData CenterMission Control
KubernetesK8sLinuxCloud ComputingDistributed SystemsAIArtificial IntelligenceGPU WorkloadsContainerizationDevOps
CommunicationLeadershipCollaborationTrainingPresentation

Required

CKACKAD

Preferred

CKACKAD
Industry Technology / AI & Computing / Data Center / Cloud
Job Function Develop and implement cutting-edge AI solutions with a focus on Kubernetes and cloud environments
Solutions ArchitectKubernetesK8sLinuxCloud ComputingDistributed SystemsGPU WorkloadsTechnical TalksCustomer SuccessAIArtificial IntelligenceData CenterMission ControlTraining SessionsConferences

Less than 8 years experience, Lack of proficiency in Kubernetes or Linux, No experience with GPU workloads on Kubernetes, Inability to lead training or presentations, No relevant technical or leadership background

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