NVIDIA · 3 months ago
Senior Technical Marketing Engineer - Data Center Scale Out
NVIDIA is a leader in accelerated computing and artificial intelligence, focused on driving the next evolution of AI through high-performance solutions. They are seeking a Senior Technical Marketing Engineer to promote and teach customers about NVIDIA’s AI networking solutions, particularly for scale-out architectures, while engaging with large-scale customers to tackle the challenges of building AI factories.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Qualification
Required
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
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
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2026-01-09
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