Technical Writer

• About Lablup

  We are a company providing machine learning platforms and solutions under the motto 'Make AI Accessible'. Lablup strives to solve various problems that arise when sharing scientific and engineering research processes through a standardized platform, and automates all stages of research and service. We develop and service Backend.AI to realize this vision. Backend.AI, a hyperscale AI platform, reduces the difficulties in developing and serving various AI models, from small-scale AI models to large language models.

• About Technical Writer at Lablup

  Lablup’s Technical Writers plan and write technical content in both Korean and English about Backend.AI and Lablup’s other products and technologies. From white papers that explain the principles, architecture, and requirements of Backend.AI and related products, to solution briefs that support adoption decisions, to customer case studies that show real deployments and results, they create the documents customers and partners need to understand our products and decide how to use them.

  Every document starts with the writer deeply understanding the subject, then identifying what readers want to know and what decisions they need to make. With that as the guide, Technical Writers confirm design intent with developers and engineers, find supporting evidence in internal technical materials and customer interviews, and decide on the structure and depth of each document. Even when source material is limited, they gather the information they need and lead the process from writing through technical review to publication. The terminology and style standards they establish along the way are then applied across other product documentation to improve consistency.

• Key Responsibilities
  • Plan and write white papers in Korean and English on Backend.AI and other Lablup products and technologies
  • Create technical and marketing materials such as solution briefs, brochures, and datasheets that help readers understand our products and evaluate adoption
  • Produce joint technical documents, such as co-authored white papers and reference architectures, with hardware, cloud, and solution partners
  • Write customer case studies covering adoption background, configuration, and outcomes, based on customer interviews and internal materials
  • Maintain consistent terminology, tone, and formatting across all documents by managing style guides, glossaries, and document templates
  • Establish and review structure, templates, and terminology standards for product documentation, including user manuals, API references, and release notes
  • Contribute to planning and writing for the company’s tech blog
• We're Looking for Someone Who...
  • keeps up with technology trends and can explain why something is getting attention right now
  • digs into unfamiliar technologies on their own, grasps the core ideas, and learns what they don’t yet know
  • can start from a blank page, define the goal, audience, and structure, and carry a document through to publication
  • can adapt format and depth of the same content to different readers and purposes
  • goes straight to developers when they have questions
  • sets their own priorities and sees work through to completion without detailed direction
  • can tell the difference between human-written and AI-generated text, and refine it to close that gap
• Qualifications
  • Experience planning and writing product documents such as technical white papers, solution briefs, and case studies, or an equivalent writing background
  • Strong writing skills to read, write, and edit technical documents in both Korean and English
  • Basic knowledge of cloud and on-premises infrastructure components (servers, storage, networking) and HPC environments
  • Experience working directly with engineering teams to understand and document technical content
  • A strong sense of document structure and information architecture (IA)
  • Familiarity with Markdown and Git-based documentation workflows, or a willingness to learn
• Preferred Qualifications
  • Content writing experience at a B2B technology company in AI infrastructure, cloud, enterprise software, or a similar field
  • Understanding of AI/ML workflows (model training, fine-tuning, inference and serving) and basic LLM concepts
  • Understanding of GPUs and other AI accelerators, and accelerated computing environments (CUDA ecosystem, multi-GPU and multi-node configurations)
  • Ability to read and interpret benchmark results, performance metrics, and architecture diagrams and reflect them accurately in documents
  • A degree in computer science or a related field, or experience in a development or engineering role
• Benefits and Perks
  • Fitness stipend
  • Welfare points
  • Lunch meal support
  • Complimentary snacks always available
  • Annual comprehensive or semi-comprehensive health checkup for employee and spouse
  • Opportunities to participate in developer communities and industry events
  • Employee benefits as a certified family-friendly workplace by the Ministry of Gender Equality and Family