NVIDIA

3 weeks ago

Technical Marketing Engineer — CUDA-Q Developer Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Drive technical enablement for a quantum computing developer platform built around CUDA-Q. Partner with product and domain experts to map developer and agent journey gaps, define standards across GitHub, docs, examples, and onboarding, and build MCP servers, Agent Skills, and prompt-ready templates. Create and maintain enablement resources, measure human engagement and agent signals, and design evaluations and success criteria to continuously improve developer time-to-value.

Location: Santa Clara, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Mid level

Key Responsibilities

•Analyze developer journey needs with product teams and domain experts to close gaps for human and agent workflows using CUDA-Q.
•Define practical standards for developer surfaces (GitHub, docs, example code, 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.
•Evaluate content performance using human engagement metrics and agent signals, and define benchmarks and evaluation frameworks for agentic developer tools.

Pay and Benefits

Salary: USD 136,000 - 253,000 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in a technical field, or equivalent experience.
•5+ years work of related 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.

Experience:5+ yearsQuantum computingHPCAIDeveloper tools

Education:Bachelor's

Skills:CommunicationInterpersonal skillsCollaborationJudgment

Tech Stack:CUDA-QGitHubLlms.txtMCPAgent SkillsAPI documentation patternsClaude CodeCodex

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 weeks ago

Technical Marketing Engineer — CUDA-Q Developer Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Santa Clara, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Mid level

Key Responsibilities

•Analyze developer journey needs with product teams and domain experts to close gaps for human and agent workflows using CUDA-Q.
•Define practical standards for developer surfaces (GitHub, docs, example code, 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.
•Evaluate content performance using human engagement metrics and agent signals, and define benchmarks and evaluation frameworks for agentic developer tools.

Pay and Benefits

Salary: USD 136,000 - 253,000 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s degree in a technical field, or equivalent experience.
•5+ years work of related 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.

Experience:5+ yearsQuantum computingHPCAIDeveloper tools

Education:Bachelor's

Skills:CommunicationInterpersonal skillsCollaborationJudgment

Tech Stack:CUDA-QGitHubLlms.txtMCPAgent SkillsAPI documentation patternsClaude CodeCodex

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor