Senior Technical Marketing Engineer - GPU and System Architecture
NVIDIA AI · Santa Clara, CA · 6 days ago
Business DevelopmentFull-time
About the role
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.
Responsibilities
- Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting 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 like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators.
- Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits.
- Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions.
- Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market.
Requirements
- 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
Qualifications
- 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
Skills
- Technical storytelling
- Market analysis
- Customer engagement
Benefits
- 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.
Pay
- Base salary range: $160,000 - $253,000 for Level 4, and $200,000 - $322,000 for Level 5.
Schedule
- Full time