✦ Luna Orbit — AI & Machine Learning

Data Center GPU Performance Engineer - Product

at Nvidia

📍 US, CA, Santa Clara Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 5+ years
Education BS or MS or equivalent experience in engineering, computer science, or related field
Category AI & Machine Learning

This role involves defining the next generation of GPU products for data center AI applications, analyzing workload trends, and driving innovation in GPU and system architecture.

  • Guide GPU architecture design
  • Analyze data center workloads
  • Identify innovation opportunities
  • Translate customer needs into product proposals
  • Develop performance models

The position requires expertise in GPU architecture, AI/ML workloads, data center hardware, and performance modeling, with a focus on generative AI and large language models.

The ideal candidate is a senior AI/ML engineer or product manager with over 5 years of experience in GPU architecture, data center workloads, and AI applications. They possess strong analytical skills and a deep understanding of generative AI and system performance modeling.

5+ years experience in technologyUnderstanding of GPU architectureExperience with AI/ML applicationsKnowledge of data center workloadsAbility to develop performance models
Experience with LLMsGPU product definitionAI application deploymentEconomics modelingGenerative AI
GPU architecturesData center hardwareAI software frameworksPerformance modeling tools
GPU architectureMachine LearningDeep LearningLLMsAI hardwareData center architectureWorkload analysisPerformance modelingGenerative AISystem architecture
GPU architectureMachine LearningDeep LearningLarge Language Models (LLMs)Product managementAI hardwareData center architectureWorkload analysisPerformance modelingEconomics of AI workloadsGenerative AISystem architecture
Analytical thinkingInnovationCommunicationProblem-solvingCollaborationMotivation
Industry Technology
Job Function Define and optimize GPU products for AI and data center applications
GPU architectureMachine LearningDeep LearningLarge Language ModelsLLMsAI hardwareData center architectureWorkload trendsPerformance modelingGenerative AIProduct managementAI applicationsSystem architecture

Less than 5 years of experience in relevant fields, Lack of understanding of GPU architecture or AI workloads, No experience with AI/ML product development

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