Senior Technical Marketing Engineer - Data Center Scale Out

About the role

To help customers build the next generation of artificial intelligence, we are seeking a Senior Technical Marketing Engineer focused on scale-out architectures.

Responsibilities

• Show how NVIDIA solutions deliver industry-leading inference and training performance and power efficiency while addressing the real challenges of ultra scale.
• Promote and teach large-scale customers about NVIDIA’s purpose-built AI networking solutions for the AI Factory, including SpectrumX Ethernet switching, Quantum-X InfiniBand switching, ConnectX NICs, Bluefield DPUs.
• Work with customers, CSPs, and analysts to tackle the realities of building AI factories at scale, connecting thousands to millions of GPUs across racks, clusters, and even between data centers.
• 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.

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, including data center execs, engineers, and operators

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

Skills

• Networking Expertise
• SuperPod Storytelling
• TCO Modeling
• Scaling at Datacenter Level
• Customer & Analyst Engagement
• Market Analysis

Benefits

NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you!

Pay

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 - $253,000 for Level 4, and $200,000 - $322,000 for Level 5.

Schedule

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.