AI DevRel Engineer — Docs, Samples & SDKs

Intel Corporation

Chandler (AZ)

Hybrid

USD 150.000 - 276.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive pay
Stock bonuses
Health & retirement benefits

Zusammenfassung

Intel Corporation is seeking a Developer Relations professional to own the developer experience for AI software on data center platforms. You will craft learning paths, golden paths, and documentation, building a robust docs-as-code pipeline and a rich sample gallery to enable first-time success.

You will write reference docs and tutorials, optimize content for search and AI assistants, and collaborate with engineering and product teams to ensure every capability ships with tested documentation.

Qualifikationen

  • Bachelor's degree or equivalent with 3+ years in technical writing or related field.
  • Strong writing and information architecture for developer docs.
  • Experience with docs-as-code workflows (Git, Markdown/MDX) and CI pipelines.
  • Experience optimizing content for search (SEO/GEO) and AI assistants.

Aufgaben

  • Own the developer experience and learning path for AI software stack on data center platforms.
  • Design and maintain golden paths and curricula to take developers from setup to working results.
  • Build and maintain docs-as-code pipelines and documentation CI, including quickstart testing.
  • Write and maintain reference docs, tutorials, and samples for zero-context onboarding.
  • Optimize docs for search and AI assistants through agent-ready content.
  • Instrument analytics and drive improvements to docs, samples, and tooling.

Kenntnisse

Technical writing
Docs-as-code
Python
Developer communication

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Git
Markdown/MDX
Documentation CI

Jobbeschreibung

Intel Corporation is seeking a Developer Relations professional to own the developer experience for AI software on data center platforms. You will craft learning paths, golden paths, and documentation, building a robust docs-as-code pipeline and a rich sample gallery to enable first-time success.

You will write reference docs and tutorials, optimize content for search and AI assistants, and collaborate with engineering and product teams to ensure every capability ships with tested documentation.

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