Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Security @ 4 System Administration @ 4 Linux @ 4 Machine Learning @ 4 Data Engineering @ 8 Networking @ 4 Product Management @ 4 API @ 4 Experimentation @ 4 CUDA @ 3 GPU @ 3Details
NVIDIA is at the center of the AI revolution, powering advanced applications from generative AI to autonomous vehicles. The platform includes advanced GPUs, systems, and software for deep learning and AI, integrated with major frameworks and cloud providers, and extended to edge devices.
Responsibilities
- Collaborate with product management for content creation and collateral development for DGX solutions.
- Work with DGX partner ecosystem to build integrated solution blueprints.
- Partner with engineering and infrastructure teams on technical architecture, API design, dashboards, security, and enterprise readiness.
- Define end-to-end user journey with UX teams, from feature discovery to commercial adoption.
- Collaborate with Technical Marketing on demos and Product Marketing on positioning and messaging.
- Support Sales & Partner Enablement by developing training materials and technical content for internal teams, partners, and customers.
- Perform technical competitive analysis of market offerings.
Requirements
- Bachelor’s Degree in quantitative field (Computer Science, Applied Math, Computational Science, Machine Learning, or equivalent experience).
- 12+ years experience as data scientist, data engineer, machine learning engineer, or similar.
- Hands-on experience deploying AI infrastructure including servers, networking, and storage.
- Excellent interpersonal skills capable of articulating value propositions to technical and non-technical audiences.
- Strong project and priority management in multifaceted environments.
Ways To Stand Out
- Experience in Linux system administration.
- Curiosity and hands-on experimentation with NVIDIA hardware/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
- Base salary range from 200,000 to 322,000 USD, determined by location, experience, and peer compensation.
- Eligibility for equity and additional benefits.
- Ongoing application process with NVIDIA's commitment to diversity and equal opportunity employment.