Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 3 Security @ 3 System Administration @ 3 Linux @ 3 Machine Learning @ 3 Data Science @ 3 Communication @ 3 Data Engineering @ 3 Networking @ 3 Product Management @ 3 API @ 3 Experimentation @ 3 CUDA @ 2 GPU @ 2Details
NVIDIA is at the center of the AI revolution, building the platform for AI-powered applications across data center, cloud, and edge devices. This role is for a Technical Marketing Engineer who will work across product management, engineering, UX, partners, and sales to create technical collateral, enablement content, and integrated solution blueprints for DGX and NVIDIA AI infrastructure.
Responsibilities
- Plan and execute content creation and collateral development for DGX solutions in partnership with product management.
- 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 and Product Marketing on demos, product positioning, and messaging.
- Support Sales & Partner Enablement by developing training materials, sales enablement tools, and technical content for 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.
- 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 and communication skills; ability to articulate value propositions to technical and non-technical audiences.
- Ability to manage concurrent projects and priorities in a multifaceted environment.
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.
Technologies and Topics Mentioned
- NVIDIA DGX and GPU computing
- Machine learning / data science / data engineering
- AI infrastructure: servers, networking, storage
- CUDA and GPU fundamentals
- Linux system administration
- API design, usage dashboards, security, enterprise readiness
- UX collaboration, demos, product positioning, sales enablement
Compensation & Benefits
- Base salary range: 200,000 USD - 322,000 USD (final base salary determined by location, experience, and internal pay comparisons).
- Eligible for equity and company benefits (link to NVIDIA benefits referenced in original posting).
Other
- Applications accepted at least until July 29, 2025.
- NVIDIA is an equal opportunity employer committed to diversity and inclusion.