Senior Technical Marketing Engineer - GPU and System Architecture

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate high performance compute, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer focused on GPUs and scale-up architecture to join our growing accelerated computing product team. This role is pivotal in showcasing NVIDIA's GPU architecture, server-level platforms, and rack-scale innovations that maximize performance and efficiency for AI inference & training. What you’ll be doing: 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. What we need to see: 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA Gruppe