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
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