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, 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.

What you will be doing:

You will be a subject matter expert—promoting and teaching large-scale customers about NVIDIA’s purpose-built AI networking solutions for the AI Factory. This includes leading the narrative on NVIDIA SpectrumX Ethernet switching, Quantum-X InfiniBand switching, ConnectX NICs, Bluefield DPUs, and showing how NVIDIA platforms uniquely address AI factory scale-out challenges. You’ll 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. Like to design large networks? Solve complex problems? Be part of an amazing team building the world’s most advanced computing platforms? Then this role is for you.

• Networking Expertise: Build and deliver content on NVIDIA’s InfiniBand and Ethernet platforms, interconnect topologies, and scaling best practices.

• SuperPod Storytelling: Explain how NVIDIA SuperPod architectures deliver predictable performance and resilience in multi-rack deployments.

• TCO Modeling: Develop and present total cost of ownership (TCO) and ROI analyses, enabling our narrative “the more you buy, the more you make”.

• Scaling at Datacenter Level: Articulate challenges and solutions in high-power, high-density deployments, including cabling, power distribution, and thermal scaling.

• Customer & Analyst Engagement: Act as a trusted advisor for hyperscalers, CSPs, and enterprises building AI factories at datacenter scale.

• Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market.

What we need to see:

• 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.

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!

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

NVIDIA is committed to fostering a diverse 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.