Senior Technical Marketing Engineer, Enterprise AI Software - CA, Santa Clara, United States
$200,000 - $322,000 USD yearly
Originally posted 7 July 2026 by the employer.
About the role
This role serves as a bridge between the enterprise AI software stack and external developers, platform teams, partners, and solution architects. Focus areas include NVIDIA AI Enterprise, NIM microservices, NeMo, RAG and agentic AI blueprints, inference platforms, and Kubernetes-based deployment patterns.
What you'll do
- Refine developer, user, and agent journeys by producing technical journeys supported by documentation, code examples, demos, and deployment guidance. - Showcase enterprise AI software workflows through demos, reference examples, notebooks, and sample applications spanning model development, inference, RAG, agentic AI, evaluation, and operations. - Build public-facing technical assets, including product documentation, deployment guides, reference architectures, tutorials, blog posts, whitepapers, presentations, webinars, and demo videos. - Develop automation and docs-as-code workflows using Git-based documentation, CI/CD, scripts, and templates. - Support solution architects, sales teams, cloud partners, ISVs, and ecosystem teams to deploy and integrate enterprise AI software. - Capture customer, developer, and field feedback to address usability gaps across examples, documentation, and deployment patterns.
What you'll need
- BS or MS in Computer Science, Engineering, AI/ML, Data Science, or another technical field, or equivalent experience. - 12+ years of experience in technical marketing engineering, software development, developer relations, solution architecture, technical writing, product engineering, or a related 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, such as product documentation, deployment guides, code examples, tutorials, whitepapers, or demo videos. - Experience with cloud-native software development and deployment patterns, including containers, Kubernetes, Helm, APIs, SDKs, CI/CD, and Git-based workflows.
Skills: enterprise AI software, generative AI, Kubernetes, cloud-native, developer journeys
This role has been open 106 days — well above the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
998
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (998 roles · 89 employers) |
|---|---|---|
| Open roles in this specialty | 293 | 998 |
| Open roles in the wider Software, Firmware & Systems family | 1004 | 6296 · 145 employers |
| Median days open | 47 d | 50 d (−3 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: enterprise AI software, generative AI, Kubernetes, cloud-native, developer journeys
Who's hiring in this category
- NVIDIA (this employer) · 290 open roles · median 47 d
- Qualcomm · 62 open roles · median 51 d
- AMD · 58 open roles · median 22 d
- Graphcore · 50 open roles · median 96 d
- Intel Corporation · 44 open roles · median 13 d
- Cerebras · 35 open roles · median 86 d
How we counted: 998 open Infrastructure/Platform Software (Infrastructure Platform) roles from 89 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.