Senior Technical Marketing Engineer - GPU and System Architecture

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$160,000–$253,000 / yr
Posted
148 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $206k
$149k most similar roles pay here $264k

This role pays less than 52% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $206k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Technical Marketing Engineer - GPU and System Architecture

As a Senior Technical Marketing Engineer at NVIDIA’s accelerated computing product team, you will play a crucial role in showcasing the company's GPU architecture and rack-scale innovations that maximize performance and efficiency for AI inference and training. Your day-to-day responsibilities include developing content that explains complex system designs to diverse audiences, demonstrating how components like NVL72, NVLink Switching, and liquid cooling integrate to deliver breakthrough AI performance, and engaging with hyperscalers, OEMs, and system operators to address design challenges and communicate the ROI of NVIDIA’s scale-up solutions. You will need deep expertise in GPU architecture, accelerators, and system components, as well as familiarity with the NVIDIA Grace Blackwell NVL72 platform. Exceptional technical storytelling skills are essential for delivering compelling narratives that resonate with industry leaders and engineers alike.

What you'll do

  • Develop content explaining GPU architecture and features to accelerate AI workloads.
  • Demonstrate integration of NVL72, NVLink Switching, and rack-level systems for AI performance.
  • Explain critical infrastructure technologies like power delivery and liquid cooling to customers.
  • Deliver technical blogs, whitepapers, and presentations connecting platform innovation to customer benefits.
  • Engage with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI.
  • Stay informed about industry trends, competitive landscapes, and emerging technologies in AI.

What we're looking for

  • 7+ years of experience in GPU architecture, system components, and technical marketing in AI/data center domains.
  • Deep expertise in GPU architecture, accelerators, servers, racks, cooling, and power delivery systems.
  • Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges.
  • Ability to translate complex technical concepts into compelling narratives for diverse audiences.
  • Experience engaging with hyperscalers, OEMs, and system operators to address design challenges.
  • Strong market analysis skills to inform strategic positioning in the AI and data center industry.
  • BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience.

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