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Solutions Architect NVIDIA AI Infrastructure
Job Description & How to Apply Below
Elevate AI capabilities as a Solutions Architect at ePlus, designing NVIDIA AI Factory infrastructure. This role emphasizes GPU compute and machine learning at scale.
As a key leader in solutions architecture, you will drive the design and deployment of advanced AI infrastructures. Responsibilities include defining GPU cluster architectures, managing colocation requirements, and creating detailed technical proposals. Your input will shape transformational AI programs for enterprise clients, directly impacting how organizations leverage AI technologies.
Key Responsibilities:
• Lead discovery workshops for AI/ML workload requirements
• Architect full-stack solutions based on NVIDIA reference architectures
• Develop detailed Bills of Materials and network drawings
• Specify colocation and facility planning strategies
• Design multi-node GPU clusters for large-scale workloads
Requirements:
• 8+ years in solutions architecture or systems engineering
• Experience with GPU infrastructure and HPC environments
• Strong knowledge of Kubernetes and GPU workload schedulers
• Proficiency in designing high-performance networking solutions
• Excellent communication skills for technical presentation
Utilize your technical expertise and customer focus to innovate AI infrastructure solutions at ePlus.
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