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Senior Technical Marketing Engineer — CUDA-Q Developer Enablement

NVIDIA· Engineer, Technical Marketing
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Hybrid (Santa Clara, CA), Remote$160k - $253kFull-timePosted 3mo ago

About the role

Technical marketing engineer role focused on enabling developers, researchers, and AI agents to use CUDA-Q for quantum computing. Interface between quantum computing, accelerated computing, and AI to create content, tools, and experiences that accelerate hands-on adoption of CUDA-Q.

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

Qualifications

  • Bachelor's degree in a technical field, or equivalent experience
  • 8+ 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

Skills

Required:Developer enablement strategyDocumentation systems and information architectureAgentic content standards (llms.txt, MCP, Agent Skills)Quantum computing concepts / CUDA-Q

Benefits

  • equity
  • benefits (as described in the posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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