Senior Technical Marketing Engineer - Data Center Scale Out

AI Factories, powered by NVIDIA accelerated computing, are driving the next evolution of artificial intelligence by combining high performance compute, networking, and full-stack software to power AI at scale. To help customers build these factories of the future, NVIDIA is seeking a Senior Technical Marketing Engineer focused on scale-out architectures—covering our AI Factory narrative and bringing platform expertise in Ethernet, InfiniBand, and SuperPOD design and deployment. Responsibilities Serve as a subject‑matter expert, promoting and teaching large-scale customers about NVIDIA’s purpose-built AI networking solutions for the AI Factory. Lead the narrative on NVIDIA SpectrumX Ethernet switching, Quantum-X InfiniBand switching, ConnectX NICs, Bluefield DPUs, and demonstrate how NVIDIA platforms uniquely address AI factory scale-out challenges. Work with customers, CSPs, and analysts to tackle the realities of building AI factories at scale—connecting thousands of servers across clusters and racks at megawatt power levels—while also demonstrating the economics through TCO modeling. Build and deliver content on NVIDIA’s InfiniBand and Ethernet platforms, interconnect topologies, and scaling best practices. Explain how NVIDIA SuperPod architectures deliver predictable performance and resilience in multi-rack deployments. Develop and present total cost of ownership (TCO) and ROI analyses, enabling our narrative “the more you buy, the more you make”. Articulate challenges and solutions in high-power, high-density deployments, including cabling, power distribution, and thermal scaling. Act as a trusted advisor for hyperscalers, CSPs, and enterprises building AI factories at datacenter scale. Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA’s leadership in the market. Qualifications BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience. 7+ years in AI data center networking, technical marketing, or solutions architecture roles. Hands-on knowledge of Ethernet, InfiniBand, RoCE, NVLink interconnects, and large-scale cluster networking. Understanding of SuperPod architecture, AI datacenter scaling, and high-power deployment considerations. Experience with TCO/ROI analysis and ability to simplify cost models for exec-level decision makers. Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators. Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Equal Opportunity Employer NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA