Senior Technical Marketing Engineer - Data Center Scale Out

Santa Clara, CA (On-site)

$160K/yr – $322K/yrSenior Level7+ years expFull time

Posted 2 weeks ago

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Job Summary

Own NVIDIA’s AI Factory scale-out messaging and content for Ethernet, InfiniBand, and SuperPod networking, while shaping TCO/ROI narratives and engaging hyperscalers, CSPs, and enterprises at datacenter scale.

  • Lead engagements with customers and analysts
  • Develop and present TCO/ROI analyses

Job Description

Responsibilities

  • 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.
  • 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.

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.

Benefits

  • You will also be eligible for equity and benefits.
NVIDIA logo

NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Founded in 1993
Santa Clara, CA, US
42K employees (3,021 in marketing)

Traffic Signals

Monthly Visitors
36.4M
Monthly Google Ads Budget
$263K
Traffic Source Mix
Search
46%
Direct
47.1%
Referral
5.7%
Social
0.9%
Paid
0.3%

Headcount Trend

Current headcount: ~46.1K

Marketing Team

Marketing Team Size
1,185 (3% of company)
Median Career Experience
20 years
Median Tenure
6.7 years
Marketing Roles Posted (Last 30 Days)
23

Funding

Total Funding
$4.1B
Last Raise
$5M
Grant, 3 years ago

Funding History

  • May 2023
    Grant • $5M
  • Aug 2022
    Post IPO Equity • $65M
  • Feb 2021
    Post IPO Equity

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