CPU Core Documentation Engineer

Job Title: CPU Core Documentation Engineer

Job Location: Austin, TX

Job Type: Contract

Pay Range: $87.72hr - $92.59hr

Job Overview:

As a CPU Core Documentation Engineer, the successful candidate will have a unique opportunity to work with the entire design community from CPU to SOC teams to produce next-generation CPU internal and external documentation. This is a modern technical documentation role: the candidate will apply AI tooling and agentic workflows to accelerate drafting, review, validation, and publication, while remaining the human authority accountable for technical accuracy and quality of everything that ships.

Candidate Profile:

The ideal candidate enjoys working as part of a team and possesses strong collaboration skills, as well as strong verbal and written communication skills. The successful candidate is an early adopter of AI tools and is energized by the opportunity to redesign how documentation gets produced. The candidate enjoys automation to save time and effort while providing flexibility and configurability, exercising sound judgment about where AI accelerates work and where human expertise and verification are non-negotiable. Additionally, the candidate enjoys learning new skills that help work more effectively and efficiently.

KEY RESPONSIBILITIES:

• End-to-end ownership for the delivery of the technical documentation for CPU Cores.
• Create, edit, drive legal and technical reviews, and publish technical documentation (errata, data-books, white papers, application notes, Processor Programming Reference, and Web page content) via revision control or as specified by the document owners and process.
• Apply large language models and AI-assisted authoring tools to draft, summarize, restructure, and copy-edit technical content with rigorous human review, fact-checking, and validation against design source-of-truth before publication.
• Build and maintain AI-enabled documentation workflows: prompt libraries, reusable prompt templates, retrieval over internal design collateral, and scripted or agentic pipelines that reduce manual effort in the doc toolchain.
• Use AI to improve documentation quality at scale consistency checking, terminology and style enforcement, cross-reference and errata validation, gap analysis, and localization readiness.
• Proactively solicit feedback to ensure delivered documents meet customer requirements including accessibility, relevance, accuracy, clarity, consistency, and timeliness.
• Partner with the CPU design team to create and maintain specific design files for input into the document delivery process, including structuring content so it is machine-readable and consumable by AI tooling.
• Champion responsible AI use within the documentation function: adhere to data-handling and confidentiality policies, understand model limitations and hallucination risk, and advocate best practices across the team.

PREFERRED EXPERIENCE:

• Hands-on experience using AI/LLM tools (e.g., ChatGPT, Claude, Copilot, or equivalent) in a professional technical writing or engineering workflow, including effective prompt engineering and critical evaluation of model output.
• Demonstrated ability to integrate AI into day-to-day production work not just experimentation with a clear understanding of when to trust, verify, or reject generated content.
• Proficiency with Microsoft Office and OpenOffice software.
• Familiar with automating tasks with scripting languages such as Python, Perl, Ruby, etc.
• Experience creating and using structured documentation (e.g., Extensible Markup Language, XML, and Open Document Text, ODT), and an appreciation for how structured content enables AI-assisted and automated publishing.
• Understanding of and experience with Revision Control Systems (e.g., Perforce, CVS, Subversion, GIT, etc.).
• Highly motivated to seek out solutions and willing to learn new skills including rapidly evolving AI tooling to fulfill job requirements.
• Strong verbal and written communication skills; editing and organizational skills required.
• Good understanding of engineering terminology used within the semiconductor industry.

ADDITIONAL EXPERIENCE DESIRED:

• Experience with retrieval-augmented generation (RAG), document chunking/indexing, or building AI agents and automations over an internal knowledge base.
• Familiarity with docs-as-code practices and CI/CD-style publishing pipelines.
• Familiarity or first-hand experience with CPU Design.
• Experience with x86 or other CPU Instruction Set Architecture (ISA).
• Understanding of IT Infrastructure such as servers, networking, storage, operating systems, etc.

ACADEMIC CREDENTIALS:

• BS, MS, or PhD degree in Electrical, Computer Engineering, or related field of study.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities