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# Senior Technical Marketing Engineer, Enterprise AI Software

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $322,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Engineering, Nvidia CUDA, Continuous Integration, Github, Machine Learning, Software Engineering, Enterprise Software Applications, Retrieval-Augmented Generation, Multi-Agent Systems, Generative AI, Agentic-AI, Git Flow, Kubernetes, Information Technology, Triton Inference Server, TensorRT, Nim (Programming Language)
- **Published:** October 10, 2026
- **Apply:** https://www.nettemps.com/us/en/WE30B15F54B77AA0AFF.ntap

## About the Role

* BS or MS in Computer Science, Engineering, AI/ML, Data Science, or another technical field, or equivalent experience.
 * 12+ years of proven experience in technical marketing engineering, software development, developer relations, solution architecture, technical writing, product engineering, or a related technical role.
 * Hands-on experience building, deploying, or explaining AI/ML, generative AI, RAG, agentic AI, LLM-based applications, inference services, or enterprise software workflows.
 * Experience creating customer-facing technical assets, including product documentation, deployment guides, code examples, tutorials, whitepapers, blog posts, presentations, webinars, or demo videos.
 * Proven experience with cloud-native software development and deployment patterns, including containers, Kubernetes, Helm, APIs, SDKs, CI/CD, and Git-based workflows.
 * Strong technical judgment and ability to understand engineering developments, make practical decisions, defend technical opinions, and translate sophisticated details into useful content.
 * Excellent written, spoken, and visual communication combined with strong cross-functional collaboration skills, with the ability to balance multiple projects, prioritize under deadlines, and work effectively across engineering, product, field, marketing, and partner teams.

Ways To Stand Out From The Crowd:

 * Examples of published technical work you authored or built, such as documentation, blogs, tutorials, videos, conference talks, demos, GitHub projects, notebooks, or developer guides.
 * Experience with NVIDIA AI software or adjacent technologies such as NVIDIA AI Enterprise, NIM, NeMo, TensorRT, Triton Inference Server, RAPIDS, CUDA, AI Blueprints, DGX Cloud, Run:ai, GPU Operator, or Network Operator.
 * Experience building enterprise-grade generative AI applications, RAG systems, autonomous agents, inference platforms, evaluation workflows, or AI factory software patterns.
 * Experience working directly with enterprise customers, cloud providers, ISVs, solution architects, sales teams, or partner engineering teams.