Senior Technical Marketing Engineer, Enterprise AI Software
NVIDIASanta Clara, CA · full time · Senior
$200,000 – $322,000
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role creates technical content and developer resources to help enterprise customers adopt NVIDIA's AI software stack, from documentation and demos to deployment guides and reference architectures. It suits someone with deep AI/ML experience who enjoys building clear explanations of complex systems and collaborating across product, engineering, and field teams.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
- CI/CD
- CUDA
- Docker
- Git
- Helm
- Kubernetes
- LLMs (Large Language Models)
- Nim
- Python
- Retrieval-Augmented Generation (RAG)
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What they ask for
Required
- BS or MS in Computer Science, Engineering, AI/ML, Data Science, or equivalent technical experience
- 12+ years in technical marketing engineering, software development, developer relations, solution architecture, or related technical role
- Hands-on experience building or deploying AI/ML, generative AI, RAG, agentic AI, or enterprise software workflows
- Experience creating customer-facing technical assets like documentation, deployment guides, code examples, or tutorials
- Experience with cloud-native development and deployment patterns including containers, Kubernetes, APIs, and CI/CD
- Strong technical judgment and ability to translate complex technical details into useful content
- Excellent written and spoken communication with strong cross-functional collaboration skills
Nice to have
- Published technical work such as documentation, blogs, tutorials, videos, conference talks, GitHub projects, or developer guides
- Experience with NVIDIA AI software including AI Enterprise, NIM, NeMo, TensorRT, Triton, RAPIDS, or related tools
- Experience building enterprise generative AI applications, RAG systems, autonomous agents, or inference platforms
- Experience working directly with enterprise customers, cloud providers, ISVs, or solution architects