Senior Technical Marketing Engineer - Data Center Scale Out

NVIDIA • Santa Clara, CA

96d • $160,000 - $322,000

About The Position

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, we are 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. In this role, you will show how NVIDIA solutions deliver industry-leading inference and training performance and power efficiency while addressing the real challenges of ultra scale: connecting thousands to millions of GPUs across racks, clusters, and even between data centers.

Requirements

• 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.

Responsibilities

• Promote and teach 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, and Bluefield DPUs.
• 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.
• 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.
• Articulate challenges and solutions in high-power, high-density deployments.
• 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.

Benefits

• Base salary range of 160,000 USD - 253,000 USD for Level 4.
• Base salary range of 200,000 USD - 322,000 USD for Level 5.
• Eligibility for equity and benefits.

What This Job Offers

• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees