Technical Writer 5- #26-26726
About The Position
As a CPU Core Documentation Engineer, you will work with CPU and SOC design teams to produce internal and external CPU documentation. This modern technical documentation role uses AI tools and agentic workflows to accelerate drafting, review, validation, and publication, while the writer remains accountable for technical accuracy and quality. The position owns documentation delivery end to end, including creating, editing, coordinating legal and technical reviews, and publishing materials such as errata, data-books, white papers, application notes, Processor Programming References, and web content. It also involves developing AI-enabled documentation workflows, using AI to improve quality at scale, structuring design files for machine readability, and promoting responsible AI use in accordance with data-handling and confidentiality policies. The role requires professional experience using AI or LLM tools in technical writing or engineering workflows, including prompt engineering and critical evaluation of generated output. Candidates should be proficient with Microsoft Office and OpenOffice, familiar with scripting and structured documentation, and experienced with revision control systems. A BS, MS, or PhD in Electrical Engineering, Computer Engineering, or a related field is specified.
Requirements
- Hands-on professional experience using AI/LLM tools in a technical writing or engineering workflow, including prompt engineering and critical evaluation of model output.
- Demonstrated ability to integrate AI into day-to-day production work and determine when generated content should be trusted, verified, or rejected.
- Proficiency with Microsoft Office and OpenOffice software.
- Familiarity with scripting languages such as Python, Perl, or Ruby.
- Experience creating and using structured documentation, such as XML and ODT.
- Understanding of and experience with revision control systems such as Perforce, CVS, Subversion, or Git.
- Strong English writing, editing, and organizational skills.
- Good understanding of engineering terminology used in the semiconductor industry.
- BS, MS, or PhD degree in Electrical Engineering, Computer Engineering, or a related field of study.
- Motivation to seek solutions and willingness to learn new skills, including evolving AI tools.
Nice To Haves
- Experience with retrieval-augmented generation (RAG), document chunking or 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 another CPU Instruction Set Architecture (ISA).
- Understanding of IT infrastructure, including servers, networking, storage, and operating systems.
Responsibilities
- Own end-to-end delivery of technical documentation for CPU cores.
- Create, edit, coordinate legal and technical reviews for, and publish technical documents, including errata, data-books, white papers, application notes, Processor Programming References, and web content.
- Use LLMs and AI-assisted authoring tools to draft, summarize, restructure, and copy-edit content, with human review, fact-checking, and validation against design source-of-truth before publication.
- Build and maintain AI-enabled documentation workflows, including prompt libraries, reusable templates, retrieval over internal design collateral, and scripted or agentic pipelines.
- Use AI to support consistency checking, terminology and style enforcement, cross-reference and errata validation, gap analysis, and localization readiness.
- Solicit feedback to ensure documents meet customer requirements for accessibility, relevance, accuracy, clarity, consistency, and timeliness.
- Partner with CPU design teams to create and maintain design files for documentation delivery, structuring content to be machine-readable and usable by AI tools.
- Promote responsible AI use, follow data-handling and confidentiality policies, account for model limitations and hallucination risk, and advocate best practices across the team.
