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10 часов назад

Technical Writer (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Technical Writer (AI) (Furiosa SDK/Furiosa-LLM): Creating developer documentation, API references, tutorials, and release guidance for AI software stacks with an accent on precise explanations of compilers, runtimes, and inference workflows. Focus on building docs-as-code pipelines, validating code samples against real RNGD hardware, and keeping versioned documentation aligned with rapidly changing APIs.

Location: On-site at the Seoul HQ, Seoul, South Korea

Company

hirify.global develops AI software and hardware, including the Furiosa SDK, Furiosa-LLM, and RNGD accelerator hardware.

What you will do

  • Write developer-facing documentation for the Furiosa SDK and Furiosa-LLM, including API references, conceptual guides, tutorials, quickstarts, migration guides, and release notes.
  • Build and operate the MDX-based docs-as-code toolchain, including automated API-reference generation, link checks, and sample validation in CI.
  • Design hardware-in-the-loop validation pipelines that compile and run documentation samples and end-to-end inference examples on RNGD hardware.
  • Partner with engineers to capture technical details and keep documentation aligned with releases, deprecations, and breaking changes.
  • Define documentation standards for style, terminology, information architecture, and versioning.

Requirements

  • Bachelor's degree in Computer Science or equivalent experience.
  • 3+ years of technical documentation experience for developer-facing software such as SDKs, APIs, systems software, or ML frameworks.
  • Strong written English and the ability to explain low-level systems concepts precisely.
  • Working proficiency in Python and command-line tooling, with the ability to read source code, run build and inference workflows, and validate code samples.
  • Experience with Git-based docs-as-code workflows, Markdown/MDX, and documentation checks in CI.
  • Understanding of DNNs and LLMs, including how models are built, run, and served.

Nice to have

  • Experience documenting ML inference frameworks, compilers, runtimes, or accelerator/GPU software stacks.
  • Knowledge of LLM inference concepts such as serving, batching, quantization, KV cache, and distributed inference.
  • Familiarity with PyTorch, Hugging Face, CUDA, or Triton.
  • Experience with documentation platforms such as Fumadocs, Mintlify, or Sphinx and automated API-reference pipelines.
  • Fluency in Python and Rust sufficient to read, write, and validate code samples.

Culture & Benefits

  • Full-time, on-site work at the Seoul headquarters.
  • Cross-team collaboration with engineers working on compilers, runtimes, SDKs, LLM inference, and accelerator hardware.
  • Documentation is treated as a versioned and continuously tested software artifact.

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