Technical Marketing Engineer — CUDA-Q Developer Enablement

Details

NVIDIA is building a platform for quantum computing with CUDA-Q. This role drives technical enablement across a broad developer ecosystem by creating content, tools, and experiences that help quantum researchers, HPC practitioners, and AI developers use CUDA-Q. The role sits at the intersection of quantum computing, accelerated computing, and AI.

Responsibilities

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

Requirements

• Bachelor's degree in a technical field or equivalent experience.
• Five or more years 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, with the judgment to evaluate AX tooling—including MCP servers, Agent Skills, API documentation, 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 machine-learning products, including controlled experiments, human evaluation 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.

Preferred Qualifications

• Hands-on experience with CUDA-Q or other quantum computing frameworks, and an understanding of how quantum workloads connect to the broader GPU-accelerated computing stack.
• Experience building enablement resources such as libraries, playbooks, and templates, 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

• Equity and benefits are included.
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.