Technical Marketing Engineer

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a Technical Marketing Engineer to work with product management, engineering, and partner ecosystems on DGX solutions. The role involves content creation, collateral development, technical architecture, API design, usage dashboards, security, enterprise readiness, user journey definition, demos, product positioning, messaging, sales enablement, and technical competitive analysis. Requires a Bachelor's Degree in a quantitative field or equivalent experience, 12+ years in data science/engineering/ML, and hands-on experience deploying AI infrastructure. Strong interpersonal skills for articulating value propositions are essential.

What you'd actually do

  1. Work with product management in planning and execution of content creation and collateral development for DGX solutions.
  2. Collaborate with DGX partner ecosystem to build an integrated solution blueprint.
  3. Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness.
  4. Partner with UX teams in defining the end-to-end user journey from feature discovery to commercial adoption.
  5. Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • 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.