AI Developer Relations - Docs and Learning

Intel is transforming to meet the demands of a rapidly changing world. We design and deliver industry leading technology that powers data centers, enables AI, and drives the future of computing. Join a team building the software and platforms developers use to deliver performance at scale.

The Developer Relations Experience serves as the primary owner of documentation and developer education for developers building AI solutions on Intel's current and future data center platforms.

This role owns the developer first experience end to end across the Intel AI stack, including quick starts, golden paths, reference documentation, tutorials, samples, and structured learning paths, by writing and maintaining developer documentation, the sample-app gallery, site navigation, and a crawlable, agent-ready front door. Treats setup, runnable samples, and docs as one product, engineering docs-as-code with cold-start and link CI so a developer reaches first success in minutes with zero help.

The role makes documentation discoverable and usable by both developers and AI assistants through search optimization and agent ready content, and partners with engineering and product so that every capability ships with a documented path that works on a first attempt. Strong technical writing, docsascode experience, enough Python literacy to run and validate samples, and the ability to communicate effectively with developers are essential.

• Own the developer experience and learning experience for the AI software stack on data center platforms, including inference microservices and the agentic toolkit.
• Design and maintain golden paths and curriculum that take a developer from a clean environment to a working result.
• Build and maintain docsascode pipelines and documentation CI, including link checking and coldstart testing of quick starts.
• Write and maintain reference documentation, tutorials, and sample walkthroughs that assume no prior context.
• Optimize documentation for search (SEO and GEO) and for AI assistants and coding agents through agent ready, LLMdigestible content.
• Instrument documentation analytics and convert findings into improvements to docs, samples, and tooling.
• Partner with engineering, product, and developer advocates so each new capability ships with tested documentation.

• Bachelor's degree with 3+ years experience in Computer Science, Computer Engineering, Technical Communication, or a related field or equivalent practical experience.
• Strong technical writing and information architecture skills for developer documentation.
• Hands on experience with docs-as-code workflows and documentation CI, including Git, Markdown or MDX, and doc build pipelines.
• Experience optimizing technical content for search (SEO and GEO) and for AI assistants.
• Python literacy sufficient to run and validate AI samples, with working familiarity with the AI software stack.

• Excellent written and verbal communication with technical audiences.
• Ability to translate developer feedback into documentation, samples, and product improvements.

Experienced Hire

Shift 1 (United States of America)

US, Arizona, Phoenix

US, California, Santa Clara, US, Oregon, Hillsboro

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

N/A

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .

$- USD

Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
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