Krafton

ML Infrastructure Engineer (5년 이상)

SeoulPosted 4 days ago

Apply on Krafton's career page

What you'd do

Operate and advance KRAFTON B300 125-node GPU infrastructure for AI research and game development workloads
Design and build GPU platform enabling stable and efficient use by research,development,and service teams
Manage ML training pipelines,model serving infrastructure,and GPU cluster automation and observability

What they want

Minimum 8 years of MLOps or ML infrastructure engineering experience in a production environment
Deep expertise in GPU cluster operations,distributed ML training,and model serving infrastructure at scale
Proficiency in ML pipeline orchestration,container infrastructure,and GPU resource scheduling systems

Nice to have

Experience operating large-scale GPU clusters with B300,H100,or equivalent high-performance compute hardware
Background in ML infrastructure cost optimization and hybrid cloud/on-prem GPU compute strategy development

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Business-level Korean required
English friendliness: Medium: English JD, mixed-language workplace
Context: Senior MLOps engineer at KRAFTON for 125-node B300 GPU cluster; Korean-language JD for specialized ML infrastructure role signals Korean is primary with exposure to multilingual team.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

View the full posting and apply on Krafton's career page

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