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.
What you'll be doing:
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
What we need to see:
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
Ways to stand out from the crowd:
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
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree in a technical field or equivalent experience
- 5+ 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 and ability to evaluate AX tooling
- Experience designing evaluations for developer or ML products (controlled experiments, human eval pipelines, benchmark harnesses)
- Strong communication and interpersonal skills; ability to collaborate with researchers, engineers, and product teams
- Track record of staying ahead of fast-paced technology shifts and translating findings into practical guidance
- Hands-on experience with CUDA-Q or other quantum computing frameworks
- Track record of building enablement resources (libraries, playbooks, templates) and driving adoption
- Contributions to open-source quantum computing, AI, or developer tooling projects
- Experience using data and analytics to measure developer onboarding and identify friction points
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
