Senior Technical Marketing Engineer, CUDA-Q Developer Enablement

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Canada
Salary: $160,000–$253,000 / yr
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $206k

$149k $264k

below market most similar roles pay here above market

This role pays less than 51% of similar roles. Most pay $189,462–$235,750 — the blue band above. At the midpoint, this role pays about $206k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1675 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1080 roles with salary data.

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At a glance

TL;DR · Senior Technical Marketing Engineer, CUDA-Q Developer Enablement

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The Senior Technical Marketing Engineer — CUDA-Q Developer Enablement joins the team building the CUDA-Q platform for quantum computing. This role focuses on driving technical enablement for a broad ecosystem of quantum researchers, HPC practitioners, and AI developers. You will analyze developer journey needs to identify gaps for human and agent workflows, creating practical standards for GitHub surfaces, documentation, and example code. Key responsibilities include building MCP servers, Agent Skills, API documentation patterns, and prompt-ready templates. You will maintain enablement resources like runbooks and reference implementations while evaluating content performance using human engagement metrics and agent signals. Required skills include experience with information architecture, quantum computing concepts, and agent-consumable content standards like llms.txt. You must also be proficient with agentic coding harnesses like Claude Code or Codex.

Skills

CUDA-Q Quantum Computing Accelerated Computing AI MCP GitHub API Documentation LLMs Claude Code Codex Information Architecture Content Strategy Benchmark Harnesses

What you'll do

Identify and close gaps in developer journey needs for both human and agent workflows using CUDA-Q.
Define standards for developer surfaces including GitHub, documentation, example code, and onboarding processes.
Create MCP servers, Agent Skills, API documentation patterns, and prompt-ready templates for AI agents.
Build and maintain enablement resources such as runbooks, checklists, and reference implementations for quantum researchers.
Evaluate content performance using human engagement metrics and agent signals to improve developer time-to-value.
Define success criteria and evaluation frameworks for agentic developer tools through benchmarks and evals.
Track emerging AI citation research and translate findings into practical guidance for quantum computing applications.

What we're looking for

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 like Claude Code or Codex and the ability to evaluate AX tooling.
Experience designing evaluations for developer or ML products using controlled experiments, human eval pipelines, or benchmark harnesses.
Strong communication skills and a track record of translating fast-paced technology shifts into practical guidance.

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