This modern technical documentation role involves working with the entire design community, from CPU to SOC teams, to produce the client's next-generation CPU internal and external documentation. The role requires applying AI tooling and agentic workflows to accelerate drafting, review, validation, and publication, while maintaining human accountability for technical accuracy and quality.
Responsibilities
Take end-to-end ownership for the delivery of technical documentation for Client's 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, including 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 Client data-handling and confidentiality policies, understand model limitations and hallucination risk, and advocate best practices across the team
Requirements
Strong collaboration skills
Strong verbal and written communication skills
Early adopter of AI tools and energized by the opportunity to redesign how documentation gets produced
Enjoy automation to save time and effort, but also to provide flexibility and configurability
Exercise sound judgment about where AI accelerates work and where human expertise and verification are non-negotiable
Enjoy learning new skills that help you work more effectively and efficiently
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
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Proficiency with Microsoft Office and OpenOffice software
Familiarity 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
Excellent writing skills in the English language; editing and organizational skills required
Good understanding of engineering terminology used within the semiconductor industry
BS, MS, or PhD degree in Electrical, Computer Engineering, or related field of study
Nice to have:
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.
Important Details
Duration: 12 Months
Work Type: Onsite
About the Company
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan, that offers strategic talent solutions to clients worldwide. The client is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets. This global company specializes in manufacturing semiconductor devices used in computer processing, and also produces flash memories, graphics processors, motherboard chip sets, and a variety of components used in consumer electronics goods.
TekWissen Group is a provider of technology consulting and workforce management solutions.
We are a world-leading specialist in professional recruitment and consultancy.
