
Axion helps chip designers shrink area, cut power, and improve manufacturing yield with AI-driven automation. The company offers SaaS tools—Axion Cell for automated custom standard-cell library generation, Axion DFM for yield-aware design-for-manufacturing, and Axion X for system-level AI-driven design optimization. Its platform combines machine learning models with domain-knowledge-encapsulated libraries to optimize PPA (power, performance, area), predict yield, and enable sensor/actuator fusion for Physical AI applications. Typical customers are semiconductor companies and engineering teams in robotics, energy, mobility, and industrial systems seeking measurable PPA and yield improvements.

Axion helps chip designers shrink area, cut power, and improve manufacturing yield with AI-driven automation. The company offers SaaS tools—Axion Cell for automated custom standard-cell library generation, Axion DFM for yield-aware design-for-manufacturing, and Axion X for system-level AI-driven design optimization. Its platform combines machine learning models with domain-knowledge-encapsulated libraries to optimize PPA (power, performance, area), predict yield, and enable sensor/actuator fusion for Physical AI applications. Typical customers are semiconductor companies and engineering teams in robotics, energy, mobility, and industrial systems seeking measurable PPA and yield improvements.
당사는 EDA / Simulation 기반의 툴 소프트웨어를 개발하고 있으며, Python·C++ 혼합 환경에서 안정적인 개발·빌드·배포 환경을 설계하고 운영할 DevOps Engineer 를 찾고 있습니다.
단기적으로는 개발 환경 표준화, CI/CD 고도화, 테스트 자동화, 릴리즈 체계 정립에 집중하게 되며,
향후에는 ML/AI 연구·개발 환경을 위한 인프라(MLOps)로 역할 범위를 확장할 계획입니다.
Responsibilities (주요 업무)
1) CI/CD 파이프라인 구축 및 운영
2) 개발 환경 표준화 및 자동화
3) 테스트 자동화 및 품질 보증 환경 구축
Requirements (자격 요건)
Must Have
Nice to Have