Senior Technical Marketing Engineer, Enterprise AI Software

Role responsibilities

Create technical content, demos, and deployment guides to accelerate the adoption of NVIDIA's enterprise AI software stack. Act as a bridge between engineering and developers by refining user journeys and capturing feedback to improve product usability.

Requirements

Requires a technical degree and over 12 years of experience in technical marketing, software development, or solution architecture. Must have hands-on experience with generative AI, RAG, and cloud-native deployment patterns like Kubernetes.

Key skills

Technical Marketing, Generative AI, RAG, Agentic AI, Kubernetes, CI/CD, Technical Writing, Cloud-Native Development, Solution Architecture, Developer Relations, LLM Applications, Inference Services, Git-based Workflows, Cross-functional Collaboration, Product Documentation, API/SDK Integration

Keywords

NVIDIA AI Enterprise, NIM, NeMo, TensorRT, Triton Inference Server, RAPIDS, CUDA, AI Blueprints, DGX Cloud, Run:ai, GPU Operator, Network Operator, Generative AI, RAG, Agentic AI, LLM, Kubernetes, Helm, Containers, CI/CD, Git, Developer Journeys, Reference Architectures, Technical Storytelling, Enterprise Software, Inference Platforms, AI Factory, Software Development, Technical Marketing Engineering