Senior Technical Marketing Engineer - Data Center Scale Out

Details

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. This role focuses on scale-out architectures, covering NVIDIA's AI Factory narrative and bringing platform expertise in Ethernet, InfiniBand, and SuperPOD design and deployment. The role demonstrates how NVIDIA solutions deliver industry-leading inference and training performance and power efficiency while addressing ultra-scale challenges: connecting thousands to millions of GPUs across racks, clusters, and between data centers.

Responsibilities

• Serve as a subject matter expert promoting and teaching large-scale customers about NVIDIA’s AI networking solutions.
• Lead the narrative on NVIDIA SpectrumX Ethernet switching, Quantum-X InfiniBand switching, ConnectX NICs, and BlueField DPUs; demonstrate how platforms address AI factory scale-out challenges.
• Build and deliver content on InfiniBand and Ethernet platforms, interconnect topologies, and scaling best practices.
• Explain SuperPod architectures and how they deliver predictable performance and resilience in multi-rack deployments.
• Develop and present total cost of ownership (TCO) and ROI analyses to demonstrate economics at scale.
• Articulate challenges and solutions for high-power, high-density deployments, including cabling, power distribution, and thermal scaling.
• Engage with customers, cloud service providers (CSPs), hyperscalers, and analysts as a trusted advisor.
• Monitor industry trends, competitive landscapes, and emerging technologies to inform strategic positioning.

Requirements

• BS/MS in Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• 7+ years of experience 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 executive-level decision makers.
• Exceptional ability to convey complex technical concepts to diverse audiences including data center executives, engineers, and operators.

Benefits

• Base salary range (varies by location and level):
  • Level 4: 160,000 USD - 253,000 USD
  • Level 5: 200,000 USD - 322,000 USD
• Eligibility for equity and company benefits.

Applications for this job will be accepted at least until October 5, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They 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.