Technical Marketing Engineer

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Posted
148 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $261k
$125k most similar roles pay here $343k

This role pays more than 88% of similar roles. Most pay $150,000–$216,262 — the shaded band above. At the midpoint, this role pays about $261k versus about $183k 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.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Technical Marketing Engineer

As a Technical Marketing Engineer at NVIDIA, you will join our dynamic team focused on advancing AI solutions across various industries. Your role involves collaborating closely with product management, engineering, and UX teams to develop content, collateral, and technical architecture for DGX solutions. You will also work with partners to create integrated solution blueprints and support sales enablement by developing training materials and technical content. Additionally, you will conduct competitive analysis and engage in technical storytelling to articulate the value of NVIDIA’s offerings to both technical and non-technical audiences. The ideal candidate has extensive experience in AI infrastructure deployment, Linux system administration, and programming with CUDA and GPU fundamentals, along with strong interpersonal skills and a proven track record in enterprise product marketing.

What you'll do

  • Develop content creation and collateral for DGX solutions in collaboration with product management.
  • Build integrated solution blueprints by collaborating with the DGX partner ecosystem.
  • Work on technical architecture, API design, usage dashboards, security, and enterprise readiness with engineering teams.
  • Define end-to-end user journey from feature discovery to commercial adoption with UX teams.
  • Support sales enablement by developing training materials and technical content for internal teams and partners.

What we're looking for

  • Bachelor's Degree in quantitative field or equivalent experience.
  • 12+ years of proven experience in data science, engineering, or machine learning roles.
  • Hands-on experience deploying AI infrastructure including servers, networking, and storage.
  • Excellent interpersonal skills for technical and non-technical audiences.
  • Ability to manage multiple concurrent projects and priorities effectively.
  • Strong programming skills with familiarity in CUDA and GPU fundamentals.

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