Senior Technical Marketing Engineer – GPU and System Architecture

🕒 October 2, 2025

🏄 California – Remote

🏄 California – Remote

💵 $160k - $322k / year

⏰ Full Time

🟠 Senior

🎡 Marketing

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as the technical voice for NVIDIA’s GPU and rack-scale systems • Translate complex system design into compelling narratives that resonate with hyperscalers, OEMs, and system IT operators. • Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads. • Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance. • Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators. • Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits. • Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions. • 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 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.

🏖️ Benefits

• equity • benefits