Technical Marketing Engineer — CUDA-Q Developer Enablement

NVIDIA•Santa Clara, CA

11d•$136,000 - $253,000

About The Position

NVIDIA is building the leading platform for Quantum Computing with CUDA-Q, and we need technical marketing engineers who can bring it to the developers, researchers, and AI agents who will use it. In this role, you will drive technical enablement across a broad developer ecosystem — creating content, tools, and experiences that help quantum researchers, HPC practitioners, and AI developers get hands-on with CUDA-Q. You will work at the intersection of quantum computing, accelerated computing, and AI to ensure that the people building the next generation of quantum applications have everything they need to succeed.

Requirements

Bachelor's degree in a technical field, or equivalent experience
5+ years work of related work experience
Experience with documentation systems, information architecture, and content strategy for developer-facing and agent-facing technical content
Understanding of agent-consumable content standards such as llms.txt, MCP, Agent Skills, and API documentation patterns
Knowledge of quantum computing concepts and familiarity with CUDA-Q or similar quantum computing frameworks
Proficiency with agentic coding harnesses such as Claude Code or Codex, and the judgment to evaluate AX tooling — from MCP servers and Agent Skills to API docs and prompt templates — for different contexts
Strong communication and interpersonal skills, with the ability to collaborate effectively with researchers, engineers, and product teams
Experience designing evaluations for developer or ML products — controlled experiments, human eval pipelines, or benchmark harnesses — with clear success criteria defined upfront
A track record of staying ahead of fast paced technology shifts and translating findings into practical guidance before it becomes conventional wisdom

Nice To Haves

Hands-on experience with CUDA-Q or other quantum computing frameworks, and an intuition for how quantum workloads connect to the broader GPU-accelerated computing stack
Track record of building enablement resources — libraries, playbooks, templates — that developer teams actually use, and driving adoption across organizations
Contributions to open-source quantum computing, AI, or developer tooling projects
Experience using data and analytics to measure developer onboarding, identify friction points, and drive improvements

Responsibilities

Analyze developer journey needs with product teams and domain experts to identify and close gaps for both human and agent workflows using CUDA-Q
Define practical standards for developer surfaces including GitHub, docs, example code, and onboarding that work for both developers and the AI agents they use
Create MCP servers, Agent Skills, API documentation patterns, agent-consumable tests, and prompt-ready templates
Build and maintain enablement resources — templates, runbooks, checklists, context files, and reference implementations — that quantum researchers and developers can use directly
Evaluate content performance using human engagement metrics and agent signals to continuously improve developer time-to-value with CUDA-Q
Define success criteria and evaluation frameworks for agentic developer tools — designing benchmarks, running evals, and translating results into actionable product improvements
Track emerging AX, GEO, and AI citation research and translate findings into practical guidance for teams building quantum computing applications