Technical Marketing Engineer

at Nvidia
📍 Santa Clara, United States
USD 128,000-253,000 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 3 Security @ 3 System Administration @ 3 Linux @ 3 Machine Learning @ 3 Data Engineering @ 5 Networking @ 3 Product Management @ 3 API @ 3 Experimentation @ 3 CUDA @ 2 GPU @ 3

Details

NVIDIA is at the center of the AI revolution — from generative AI applications to autonomous vehicles and voice-recognition systems. GPU computing is the most productive and pervasive platform for deep learning and AI. NVIDIA builds advanced GPUs, systems and software, integrates and optimizes deep learning frameworks, partners with major systems companies and cloud service providers, and creates computers and software to bring AI to edge devices such as self-driving cars and autonomous robots.

This role is a Technical Marketing Engineer focused on DGX solutions and AI infrastructure. You will work cross-functionally with product management, engineering, UX, technical marketing, product marketing, sales and partners to create technical collateral, demos, blueprints and enablement for DGX and related NVIDIA solutions.

Responsibilities

  • Work with product management in planning and executing content creation and collateral development for DGX solutions.
  • Collaborate with the DGX partner ecosystem to build integrated solution blueprints.
  • Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness.
  • Partner with UX teams to define end-to-end user journeys from feature discovery to commercial adoption.
  • Partner with Technical Marketing teams on demos and with Product Marketing on product positioning and messaging.
  • Support Sales & Partner Enablement by developing 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.

Requirements

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience.
  • 5+ 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 the ability to articulate value propositions to technical and non-technical audiences.
  • Ability to manage concurrent projects and priorities in a multifaceted environment.

Preferred / Ways To Stand Out

  • Hands-on experience in Linux system administration.
  • Curiosity and hands-on experimentation with NVIDIA hardware and software as a power user and technical storyteller.
  • Prior Technical Marketing experience with enterprise products.
  • Strong programming skills and familiarity with CUDA and GPU fundamentals.

Benefits & Compensation

  • Base salary (location- and level-dependent):
    • Level 3: 128,000 USD - 201,250 USD
    • Level 4: 160,000 USD - 253,000 USD
  • You will also be eligible for equity and benefits.

Additional Information

  • Applications for this job will be accepted at least until July 29, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.