Senior Solutions Architect, AI Infrastructure

Experteer Overview As an infrastructure Solutions Architect at NVIDIA, you will lead end-to-end integration of AI infrastructure solutions with cloud providers and hyperscalers. You will collaborate with customers on POCs and workshops to address critical business needs, and you will influence product strategy through technical recommendations. This role sits at the intersection of hardware, networking, and software to scale AI, ML, and HPC deployments. You will operate in a fast-paced, customer-focused environment where your impact helps accelerate AI infrastructure adoption and performance. Compensation / Benefits * Collaborate with cloud providers and hyperscalers to develop, build and deploy compute and networking solutions based on NVIDIA AI infrastructure hardware * Engage with customers on POC programs for AI solutions addressing business needs * Lead technical customer meetings, product introductions, workshops, and performance debugging sessions * Provide recommendations to business and engineering teams on product strategy Tasks * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience * 8+ years in Solutions Architect or similar technical pre-sales roles * Strong customer-oriented demeanor with drive for technical pre-sales activities * Practical knowledge of networking for AI data centers (GPUs, CPUs, InfiniBand, Ethernet fabric topologies, PCIe, host networking, switches) * Experience with end-to-end compute and network performance debugging (hosts, switches, optics) * Effective time management and ability to balance multiple tasks * Clear communication skills in documents and presentations Key requirements * equity * benefits

skills and engineering teams on product strategy Tasks * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience * 8+ years in Solutions Architect or similar technical pre-sales roles * Strong customer-oriented demeanor with drive for technical pre-sales activities * Practical knowledge of networking for AI data centers (GPUs, CPUs, InfiniBand, Ethernet fabric topologies, PCIe, host networking, switches) * Experience with end-to-end compute and network performance debugging (hosts, switches, optics) * Effective time management and ability to balance multiple tasks * Clear communication skills in documents and presentations Key requirements * equity * benefits