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KRAFTON

Develops and publishes cross-platform games

AI Infrastructure Engineer Lead

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • Experience designing, building, and operating large-scale GPU clusters or AI/ML infrastructure based on Kubernetes or Slurm.
  • Experience across computing infrastructure, including GPU servers, networks, and storage, and building stable operating environments.
  • Experience applying GPU resource management, scheduling, multi-tenancy, workload isolation, and quotas in production environments.
  • Experience optimizing infrastructure by analyzing GPU utilization, performance, stability, and cost.
  • Experience diagnosing incidents and performance issues at the system level, resolving root causes, and making structural improvements.
  • Experience collaborating with research, development, and service organizations to define infrastructure requirements and propose and execute expansion and operating plans.
  • Must be able to travel internationally.
  • Experience establishing GPU infrastructure cost and performance optimization strategies and applying them to operations.
  • Experience collaborating with research, development, and service organizations to define infrastructure requirements and propose technical alternatives and execution priorities.
  • Experience reviewing and executing computing infrastructure expansion strategies covering on-premises, cloud, and external infrastructure.
  • Understanding of the overall machine learning workflow, including model training, experimentation, deployment, inference, and serving.
  • Experience using infrastructure as code, automation, continuous integration and continuous delivery, and observability tools to build repeatable and efficient infrastructure operations.
  • Experience using generative AI, large language model-based tools, or code assistants to improve operational efficiency and automation productivity.

Responsibilities

  • Operate and improve large-scale GPU infrastructure so research, development, and service organizations can use it reliably and efficiently.
  • Directly contribute to operational stabilization, performance improvement, resource efficiency, and operational automation for large-scale Blackwell Ultra-based GPU infrastructure.
  • Design, build, and operate scheduling, multi-tenancy, workload isolation, quotas, observability, and incident-response systems for a Kubernetes-based machine-learning and GPU platform.
  • Develop and implement operational strategies that improve GPU utilization, wait times, throughput, and cost efficiency based on training and inference workload characteristics.
  • Use GPU capacity planning and utilization analysis to assess future computing infrastructure expansion and whether external infrastructure should be used.
  • Improve reproducible operating practices for GPU infrastructure and coordinate multiple teams' requirements from a shared-platform perspective.
  • Review and propose technical directions for future computing infrastructure expansion and participate in proposing and executing KRAFTON's GPU and computing operations strategy.

About the Company

KRAFTON

Develops and publishes cross-platform games

Krafton is a group of independent game studios that develops and publishes video games for PC, console, and mobile. Its business model centers on delivering high-quality games and monetizing them through game sales, in-game purchases, and licensing deals, with PUBG as a flagship title. Krafton differentiates itself by coordinating a network of studios and investing in technology and publishing support rather than relying on a single in-house studio, enabling a diverse catalog and esports initiatives. Its goal is to push the boundaries of gaming and connect people through shared entertainment moments across platforms.

Company size
51-200
Company stage
IPO
Headquarters
Seongnam-si, South Korea
Founded
2007

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