Senior Technical Marketing Engineer - Data Center Scale Out at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Centers, High Performance ComputingIndustries

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

Responsibilities

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 the 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
Promote and teach large-scale customers about NVIDIA’s purpose-built AI networking solutions for the AI Factory, including NVIDIA 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 of servers across clusters and racks at megawatt power levels—while demonstrating the economics through TCO modeling

Skills

InfiniBand

Ethernet

SuperPOD

Spectrum-X

Quantum-X

ConnectX

BlueField DPUs

Networking

Interconnect Topologies

Scale-out Architectures

TCO Modeling

ROI Analysis

AI Factories

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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