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
• CreateMCP 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

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

Preferred

• 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

Benefits

• You will also be eligible for equity and benefits.