Technical Marketing Engineer
NVIDIA
Job Overview
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Job Description
About NVIDIA
NVIDIA is at the heart of the AI revolution, powering applications from generative AI to autonomous vehicles. Our GPU computing platform powers deep learning and AI by integrating advanced GPUs with top software frameworks and collaborating with major cloud service providers.
Role Overview: Technical Marketing Engineer
This role involves working closely with product management, sales, engineering, and UX teams to develop content, integrated solutions, and training materials for DGX solutions.
Key Responsibilities
- Collaborate on content creation and collateral development for DGX solutions.
- Build integrated solution blueprints with the DGX partner ecosystem.
- Work on technical architecture, API design, security, and enterprise readiness.
- Define the end-to-end user journey with UX teams.
- Develop training materials and enablement tools for sales and partners.
- Conduct technical competitive analysis.
Requirements
- Bachelor's degree in a quantitative field or equivalent experience.
- 12+ years in roles such as data scientist, machine learning engineer, or similar.
- Hands-on experience with deploying AI infrastructure including servers, networking, and storage.
- Excellent interpersonal skills to articulate technical value propositions.
- Ability to manage multiple projects in a dynamic environment.
Preferred Qualifications
- Linux system administration experience.
- Proven track record as a Technical Marketing professional in enterprise products.
- Strong programming skills and familiarity with CUDA and GPU fundamentals.
Additional Information
Base salary is determined based on location, experience, and market comparisons. In addition, equity and benefits are offered. Applications are accepted until January 13, 2026. NVIDIA is committed to diversity and inclusion in the workplace.
Key skills/competency
DGX, GPU, deep learning, AI, technical content, collateral, Linux, CUDA, API, enterprise
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, and recent projects.
- Customize your resume: Highlight AI, GPU, and technical marketing experience.
- Practice interview insights: Prepare examples of collaborative projects.
- Showcase technical expertise: Demonstrate hands-on experience with AI infrastructure.
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