This role pays more than
87%
of similar roles. Most pay
$169,875–$243,300
— the shaded band above.
At the midpoint, this role pays about
$261k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Technical Marketing Engineer, Enterprise AI Software joins the Enterprise Product Group to accelerate the adoption of enterprise AI software. This role serves as a bridge between complex software stacks and developers, platform teams, and partners by creating technical content, developer journeys, demos, reference examples, and deployment guides. You will build notebooks, sample applications, and documentation for technologies including NVIDIA AI Enterprise, NIM microservices, Dynamo, NeMo, RAG, agentic AI blueprints, and inference platforms. Day-to-day responsibilities involve developing automation and docs-as-code workflows using Git, CI/CD, and scripts while creating whitepapers, tutorials, and webinars. The role requires expertise in cloud-native software development, including Kubernetes, Helm, APIs, and SDKs. You will solve the challenge of making complex systems like generative AI and accelerated data workflows actionable for customers across various deployment environments.
Create technical content including documentation, deployment guides, whitepapers, and blog posts to simplify complex systems.
Build demos, reference examples, notebooks, and sample applications to showcase integrated AI software workflows.
Design clear developer journeys supported by code samples and practical deployment guidance.
Develop automation and docs-as-code workflows using Git, CI/CD, and scripts for repeatable publishing.
Create technical assets to enable sales teams, solution architects, and partners to integrate NVIDIA products.
Translate complex engineering capabilities into actionable content for developers and enterprise customers.
Identify product gaps by analyzing feedback from the developer community and internal stakeholders.
Advocate for NVIDIA AI software within cloud-native and open-source ecosystems through technical storytelling.
What we're looking for
Hold a BS or MS in Computer Science, Engineering, AI/ML, Data Science, or a related technical field.
Possess 12+ years of experience in technical marketing engineering, software development, developer relations, solution architecture, or technical writing.
Demonstrate hands-on experience building and deploying AI/ML, generative AI, RAG, agentic AI, and inference services.
Create customer-facing technical assets including documentation, deployment guides, code examples, whitepapers, and demo videos.
Experience with cloud-native software development using containers, Kubernetes, Helm, APIs, SDKs, CI/CD, and Git-based workflows.
Possess strong technical judgment to translate sophisticated engineering details into actionable content for diverse audiences.
Exhibit excellent written, spoken, and visual communication skills combined with cross-functional collaboration abilities.
Experience with NVIDIA AI software or adjacent technologies like TensorRT, Triton Inference Server, RAPIDS, or CUDA is preferred.
Agentic AI
LLMs
Generative AI
RAG
Python
Kubernetes
Docker
CI/CD
LangChain
LlamaIndex
NVIDIA NeMo
Triton
Multi-agent Orchestration
API Gateways
Distributed Systems
Linux
Text-to-SQL
Model Serving
Observability