About the position
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!
Responsibilities
- 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.
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 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-haves
- 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.
Benefits
- Equity and benefits.
