About the role
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! About this Role We are a small, highly technical writing team embedded in the Product org at Lightmatter. We own all customer-facing technical content for our hardware and software products — giving engineers and researchers at the leading edge of AI and high-performance computing everything they need to get up and running fast.
Responsibilities As a Senior Technical Writer, you will be key in defining the voice and structure of Lightmatter's customer-facing content. Your
responsibilities will include: Lead technical writing activities for critical customer-facing product content, including hardware and software documentation for silicon photonics products such as data sheets, user guides, API documentation, release notes, and product briefs. Drive content strategy, governance, and quality standards across all documentation outputs, ensuring technical accuracy and alignment with Lightmatter's innovative product vision. Collaborate extensively with Engineering, Marketing, Supply Chain, and Sales Teams to seamlessly integrate documentation with product development and release cycles. Architect and manage authoring and publishing pipelines utilizing a DITA XML-based structured authoring environment and Git-based repositories. Define and maintain scalable information architecture, metadata frameworks, and content models to optimize content reuse and simplify complexity. Integrate documentation systems with engineering and PM tools (e.g., connecting Jira tasks to documentation status, using GitBook to automate documentation updates, and so on). Configure and maintain cascading style sheets (CSS) within documentation platforms (e.g., Oxygen XML) to adapt content for web and PDF outputs. Pioneer the use of AI tools within the documentation lifecycle to accelerate content generation and partner with IT to pilot and scale AI-enabled authoring workflows. Collaborate closely with Subject Matter Experts (SMEs) to extract highly complex solution details and transform them into clear, modular, and consumable documentation.
