Responsibilities

• 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.

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