10 days ago

Technical Marketing Engineer

NVIDIA

On Site
Full Time
$280,000
Santa Clara, CA

Job Overview

Job TitleTechnical Marketing Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$280,000
LocationSanta Clara, CA

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Job Description

About NVIDIA

NVIDIA has become the platform upon which every new AI-powered application is built. From big, challenging Generative AI applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding and NVIDIA is right in the center of this revolution. GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud, and we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots.

We are currently seeking a dynamic individual to join our team as a Technical Marketing Engineer who can move and adapt quickly to changing needs!

What You’ll Be Doing as a Technical Marketing Engineer

  • Work with product management in planning and execution of content creation and collateral development for DGX solutions.
  • Collaborate with DGX partner ecosystem to build an integrated solution blueprint.
  • Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness.
  • Partner with UX teams in defining the end-to-end user journey from feature discovery to commercial adoption.
  • Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging.
  • Support Sales & Partner Enablement – Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers.
  • Perform technical competitive analysis of other offerings in the market.

What We Need To See

  • Bachelor's Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience.
  • 12+ years of proven experience as a data scientist, data engineer, machine learning engineer, or similar role.
  • Hands-on experience deploying AI infrastructure - servers, networking and storage.
  • World-class interpersonal skills with a shown ability to articulate a value proposition to technical and non-technical audiences.
  • Ability to manage concurrent projects and priorities in a multifaceted environment.

Ways To Stand Out From The Crowd

  • Hands-on experience in Linux system administration.
  • You’re curious, hands-on, and driven to experiment with NVIDIA’s latest hardware and software as a power user and technical storyteller.
  • Prior Technical Marketing position with enterprise products.
  • Strong programming skills and familiarity with CUDA and GPU fundamentals.

Key skills/competency

  • Technical Marketing
  • Product Management
  • Content Creation
  • DGX Solutions
  • AI Infrastructure
  • Sales Enablement
  • Competitive Analysis
  • API Design
  • Machine Learning
  • GPU Computing

Tags:

Technical Marketing Engineer
marketing
product management
content creation
sales enablement
competitive analysis
technical architecture
API design
user experience
partner ecosystem
solution blueprint
AI infrastructure
servers
networking
storage
Linux
CUDA
GPU
deep learning frameworks
machine learning

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How to Get Hired at NVIDIA

  • Research NVIDIA's AI Vision: Study their mission, values, recent news, and impact on AI, GPU computing, and deep learning on LinkedIn and Glassdoor.
  • Tailor Your Resume for AI Infrastructure: Customize your resume to highlight experience with AI infrastructure, machine learning, and technical marketing, using keywords from the job description.
  • Showcase Technical Marketing Expertise: Prepare to discuss your experience in content creation, sales enablement, competitive analysis, and partnering with product/engineering teams.
  • Prepare for Technical Deep Dives: Be ready to demonstrate hands-on experience with AI infrastructure deployment, Linux, CUDA, and GPU fundamentals during technical interviews.
  • Articulate NVIDIA's Value Proposition: Practice communicating complex technical concepts clearly to both technical and non-technical audiences, mirroring NVIDIA's innovation.

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