Nvidia Senior Technical Marketing Engineer - GPU System Architecture 

United States, Texas 

787563283

What you’ll be doing:

In this role, you will serve as the technical voice for NVIDIA’s GPU and rack-scale systems. This role bridges architecture and deployment, showing how GPUs, NVLink switching, and rack-level innovations like NVL72, power delivery, and liquid cooling come together to accelerate AI inference and training. You’ll translate complex system design into compelling narratives that resonate with hyperscalers, OEMs, and system IT operators.

• GPU Deep Dives: Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads.

• System Architecture: Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance.

• Platform Readiness: Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators.

• Technical Storytelling: Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits.

• Customer Engagement: Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions.

• Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market.

What we need to see:

• 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.