GPU & Rack-Scale AI Systems Tech Marketing Lead

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 160,000 - 322,000; Full time

Job summary

NVIDIA seeks a Senior Technical Marketing Engineer focused on GPUs and scale-up architecture to join our accelerated computing product team. This role bridges GPU architecture, rack-scale systems, and market storytelling to showcase NVIDIA's leadership in AI inference and training for hyperscalers, OEMs, and data center operators.

You will develop GPU deep-dives, explain NVL72 and NVLink switching, and produce blogs, whitepapers, and presentations that connect platform innovation to real

Qualifications

• 7+ years in GPU, system architecture, technical marketing, or solutions architecture roles in AI and data center domains.
• Deep expertise in GPU architecture, accelerators, and system components (servers, racks, cooling, and 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.
• Translate architecture and deployment details into compelling narratives for hyperscalers, OEMs, and IT operators.
• Develop GPU architecture content explaining features and capabilities.
• Demonstrate NVL72, NVLink switching, CPU/GPU co-design, and rack-level integration.
• Create technical blogs, whitepapers, and presentations linking platform innovation to customer ROI.
• Engage customers to address design challenges and communicate ROI from scale-up solutions.

Skills

GPU architecture

Server hardware

Rack-scale systems

Technical marketing

Solutions architecture

Education

BS/MS in Computer Engineering or Electrical Engineering related field

Job description

NVIDIA seeks a Senior Technical Marketing Engineer focused on GPUs and scale-up architecture to join our accelerated computing product team. This role bridges GPU architecture, rack-scale systems, and market storytelling to showcase NVIDIA's leadership in AI inference and training for hyperscalers, OEMs, and data center operators.

You will develop GPU deep-dives, explain NVL72 and NVLink switching, and produce blogs, whitepapers, and presentations that connect platform innovation to real