Senior Technical Marketing Engineer - GPU and System Architecture at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Data Centers, SemiconductorIndustries

Requirements

BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience
7+ years in GPU, system architecture, technical marketing, solutions architecture roles in AI and data center domains
Deep Expertise in GPU architecture, accelerators, and system components (servers, racks, cooling, power)
Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges
Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators

Responsibilities

Serve as the technical voice for NVIDIA’s GPU and rack-scale systems, bridging architecture and deployment
Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads (GPU Deep Dives)
Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance (System Architecture)
Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators (Platform Readiness)
Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits (Technical Storytelling)
Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions (Customer Engagement)
Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market (Market Analysis)

Skills

GPU Architecture

NVLink

NVL72

NVLink Switching

Liquid Cooling

Power Delivery

Thermal Management

AI Inference

AI Training

Technical Blogs

Whitepapers

Presentations

Market Analysis

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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