Platform Engineer

• Set technical strategy and oversee development of high scale, reliable data platform to manage, visualize and serve large-scale datasets for ML model training and validation.
• Build up the data lakehouse for autonomous driving scene datasets, including the sensor data, calibration data, as well as annotation data.
• Drive the Autonomous Driving Data SDK development, including scene data search, datasets preparation, dataset loading, etc.
• Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage.
• Bootstrap and maintain infrastructure for Data Platform components—Data Processing Pipeline, Database, Data Lakehouse and Data Serving.
• Collaborate with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall Autonomous Driving System Architecture.

Senior ML Platform Engineer building data platforms for autonomous driving

Senior ML Platform Engineer – Autonomous Driving

Senior ML Platform Engineer focusing on ML training and evaluation platforms at 42dot. Developing scalable data solutions for autonomous driving algorithms and large-scale datasets.

• Develop a high scale, reliable data platform to manage, visualize, search and serve large-scale datasets for ML model training, fine tune and validation.
• Develop advanced autonomous driving data SDK, including scene data search, datasets preparation, dataset loading, etc.
• Build up the data lakehouse for autonomous driving scene dataset, including the sensor data, calibration data, as well as annotation data
• Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage.
• Bootstrap and maintain infrastructure for data platform components—data processing pipeline, database, data lakehouse and data serving.
• Collaborate with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall autonomous driving system architecture.

ML Platform Engineer developing reliable data platforms for autonomous driving at 42dot

ML Platform Engineer – Autonomous Driving

ML Platform Engineer at 42dot developing scalable data platforms for autonomous driving. Building infrastructure to support ML model training, evaluation, and deployment while collaborating with cross-functional teams.

• Client, Back-End 전반에서 보안 요구사항을 정의하고 구현합니다.
• API gateway, MCP 서버/클라이언트, Provider 연동 구간에서 보안위협을 식별하고 완화합니다.
• Next.js 기반 운영 콘솔에서 UX를 개선합니다.
• OTLP trace, anomaly event, Datadog, OpenTelemetry, logs, metrics를 활용해 보안 탐지와 incident response 체계를 구축합니다.
• Redis, PostgreSQL, MongoDB, Kafka 등 플랫폼 의존성의 설정, 데이터 보존, 감사, 장애 시 정책을 설계합니다.
• Kubernetes, Helm, Docker, GitLab CI/CD 환경에서 서비스를 개발하고 운영합니다.
• SRE, 인프라, Back-End, Front-End, 보안 조직과 협업해 보안 요구사항을 실현 가능한 플랫폼 기능으로 구체화합니다.

Security Engineer developing security requirements for software-defined vehicles at 42dot.

Security Engineer – Security Platform

Security Engineer developing and implementing security requirements for software-defined vehicles at 42dot. Collaborating with various teams to ensure secure solutions in a hybrid work environment.

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Senior ML Platform Engineer – Autonomous Driving

ML Platform Engineer – Autonomous Driving

Security Engineer – Security Platform