Senior Technical Marketing Engineer - GPU and System Architecture

at Nvidia
📍 Santa Clara, United States
USD 160,000-322,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 7 Networking @ 4 System Architecture @ 7 GPU @ 4

Details

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. The data center platforms integrate high-performance compute, networking, and a full-stack software ecosystem to power AI at scale. This role focuses on GPUs and scale-up architecture and is pivotal in 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 content (technical blogs, whitepapers, presentations) that explains NVIDIA GPU architecture, features, and capabilities and connects platform innovation to real-world customer benefits.
  • 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.
  • Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions.
  • Perform market analysis: stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning.

Requirements

  • BS/MS in Computer Engineering or Electrical Engineering or equivalent experience.
  • 7+ years of experience in GPU, system architecture, technical marketing, or 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 executives, engineers, and operators.

Compensation and Benefits

  • Your base salary will be determined based on location, experience, and the pay of employees in similar positions.
  • Base salary ranges provided in the posting:
    • Level 4: 160,000 USD - 253,000 USD
    • Level 5: 200,000 USD - 322,000 USD
  • You will also be eligible for equity and benefits.

Additional Information

  • This role focuses on AI inference and training workloads, rack-scale innovations (NVL72), NVLink switching, power delivery, and liquid cooling/thermal management.
  • Applications for this job will be accepted at least until October 5, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.