Senior Technical Marketing Engineer - GPU and System Architecture
NVIDIA· Engineer, Technical Marketing
Hybrid (Santa Clara, CA), Remote$160k - $253kFull-timePosted 7mo ago
About the role
Senior Technical Marketing Engineer focusing on GPUs and scale-up architecture to showcase NVIDIA’s GPU architecture, server-level platforms, and rack-scale innovations for AI inference and training.
Responsibilities
- - GPU Deep Dives: Develop content explaining NVIDIA GPU architecture, features, and capabilities for accelerating AI workloads.
- - System Architecture: Demonstrate integration of NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems to deliver AI performance.
- - Platform Readiness: Explain infrastructure technologies like power delivery, liquid cooling, and thermal management to hyperscalers and system integrators.
- - Technical Storytelling: Deliver technical blogs, whitepapers, and presentations linking platform innovation to customer benefits.
- - Customer Engagement: Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI of NVIDIA scale-up solutions.
- - Market Analysis: Track industry trends, competition, and technologies to inform strategic positioning.
Qualifications
- - BS/MS in Computer Engineering or Electrical Engineering or equivalent experience
- - 7+ years in GPU, system architecture, technical marketing, or solutions architecture 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 (data center execs, engineers, operators)
Skills
Required:GPU architectureSystem architectureTechnical storytelling
Benefits
- Equity
- Benefits described by company benefits page
Last updated Jul 17, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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