Senior Technical Marketing Engineer - GPU and System Architecture

Details

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. This role is part of the accelerated computing product team and focuses on GPUs and scale-up architecture. It is responsible for showcasing NVIDIA's GPU architecture, server-level platforms, and rack-scale innovations that maximize performance and efficiency for AI inference and training.

Responsibilities

• Serve as the technical voice for NVIDIA's GPU and rack-scale systems, bridging architecture and deployment.
• Develop deep-dive content that explains NVIDIA GPU architecture, features, and capabilities and 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 such as power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators.
• Produce technical storytelling assets: blogs, whitepapers, presentations, and other collateral that connect platform innovation to customer benefits.
• Engage with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions.
• Monitor industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership.

Requirements

• BS/MS in Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• 7+ years of experience in GPU, system architecture, technical marketing, or solutions architecture roles within 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.
• Strong ability to convey complex technical concepts to diverse audiences (data center executives, engineers, and operators).
• Experience producing technical content (whitepapers, blogs, presentations) and engaging with large-scale customers (hyperscalers, OEMs).

Benefits

• Base salary (location- and level-dependent). For Level 4: USD 160,000 - 253,000. For Level 5: USD 200,000 - 322,000.
• Eligibility for equity and company benefits.
• Work at a leading technology company focused on accelerated computing and AI infrastructure.

Applications for this job will be accepted at least until October 5, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate 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.