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Designs and optimizes LLM training pipelines to build production-ready generative language models, focusing on efficiency and quality improvements in pre-training and post-training processes.
Develops and optimizes deep learning models for speech recognition and wake word detection, deploying them on Linux and Android devices for in-vehicle AI applications.
About the Team & Mission 42dot은 소프트웨어 정의 차량(SDV) 시대를 선도하는 통합 모빌리티 플랫폼을 구축하고 있습니다. Vehicle OS, Autonomous Driving, Gleo AI, Pleos App Market 등을 아우르는 수직 통합 구조를 통해,차량·개발사·데이터가 함께 진화하는 생태계를 만들어 갑니다. Senior Strategy…
Leads end-to-end product strategy and execution for in-vehicle vision systems (DMS, OMS, SVM/RVM, Dash CAM) in a software-defined vehicle environment, coordinating hardware, embedded software, and AI across cross-functional teams.
Designs and maintains 42dot’s brand identity across internal/external touchpoints, including events, merchandise, and digital/print materials, using tools like Adobe Creative Suite and Figma.
Integrates and validates software-defined vehicle systems at the vehicle level, troubleshooting issues to improve system completeness for autonomous driving technologies.
Develops and integrates security solutions for 42dot's Software Defined Vehicle (SDV) platform, focusing on secure key management, OP-TEE/HSE-based security features, and firmware integrity verification.
Designs and executes test scenarios for autonomous vehicles, analyzing real-world driving data to evaluate and improve ADAS/AD performance in a collaborative engineering environment.
Designs and builds the core middleware framework powering autonomous driving systems, focusing on real-time communication, execution frameworks, and automotive-grade reliability on Linux/RTOS.
Senior ML Platform Engineer at 42dot builds and maintains large-scale data platforms and ML training systems for autonomous driving, using Python, PyTorch/TensorFlow, and distributed data pipelines.
Senior Computer Vision Engineer developing 3D vision and machine learning algorithms for autonomous driving perception using sensors like cameras and LiDAR.
Manages and optimizes a large-scale GPU infrastructure across multiple data centers using Kubernetes and Slurm, ensuring high availability and efficient resource utilization for AI workloads.
Leads design strategy for in-vehicle and mobile-connected car experiences, shaping user flows, prototypes, and visuals while collaborating with cross-functional teams to deliver intuitive, scalable interfaces.
AI Engineer intern at 42dot designing, implementing, and validating camera-based autonomous driving systems and MLOps pipelines, with potential for full-time conversion.
About the Team & Mission 42dot의 Open Source Manager는 조직의 오픈소스 소프트웨어(OSS) 활용 및 Governance 전략을 총괄하고 회사에서 OSS 관리 체계를 준수할 수 있게 지속적으로 운영합니다. 이를 위해 Governance 체계를 표준화하고 필요한 도구 운영, 정책/프로세스를 구현합니다. Responsibilities…
Senior Android build engineer designs, optimizes, and maintains Android Automotive build systems for IVI (In-Vehicle Infotainment) in a Software Defined Vehicle project, using tools like Bazel and Soong.
About the Team & Mission 42dot의 Senior Software Configuration Manager는 Software 형상 관리에 대한 깊은 이해를 갖춘 숙련된 Engineer입니다. 코드의 시작부터 배포까지, 소프트웨어의 생애 주기를 가장 효율적으로 설계하는 역할입니다. 단순히 코드를 관리하는 것을 넘어, 안정적이고 빠른 빌드/배포 시스템을 통해 개발자가…
Designs and optimizes end-to-end CI/CD pipelines for embedded software, automating build, test, and release workflows to improve developer productivity and release quality.
Leads the end-to-end software release lifecycle for autonomous driving components, SDV features, cloud services, and OTA updates, coordinating cross-functional teams and improving release processes.
Leads the development and integration of a software-defined vehicle OS platform, coordinating cross-functional teams to manage multi-ECU architectures, OTA deployments, and system-level issues for automotive software products.
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