Technical Marketing Engineer job opportunity at NVIDIA.

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DateMore Than 30 Days Ago bot
NVIDIA Technical Marketing Engineer
Experience: 12-years
Pattern: full-time
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degreeBachelor's (B.A.)
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

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! What You’ll Be Doing: 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. What We Need To See: 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. Ways To Stand Out From The Crowd: 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and a self-starter, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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