> Markdown version of [/jobs/ext/2112638-senior-technical-marketing-engineer-gpu-and-system-architecture](https://www.wearedevelopers.com/jobs/ext/2112638-senior-technical-marketing-engineer-gpu-and-system-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Technical Marketing Engineer - GPU and System Architecture - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Data Centers, Performance Tuning, Systems Architecture, Graphics Processing Unit (GPU), Network Server - **Published:** August 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/on1ovkjrcy ## About the Role * 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. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! ## Description 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. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Kubernetes Security - Challenge and Opportunity](https://www.wearedevelopers.com/videos/412-kubernetes-security-challenge-and-opportunity) - [Practical performance tuning for Serverless Java on AWS](https://www.wearedevelopers.com/videos/2075-practical-performance-tuning-for-serverless-java-on-aws) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [tRPC: API schemas are pure overhead](https://www.wearedevelopers.com/videos/796-trpc-api-schemas-are-pure-overhead) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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