the degree of responsibility • AI-Assisted Toolchain Development: Leverage AI coding tools (long-context, vibe coding) to drive the full lifecycle development of automotive network toolchains (Python/HTML). • Architecture & Design: Design decoupled and scalable frontend/backend architectures for internal engineering tools. • AI Workflow Engineering: Develop AI "Skills" and automation workflows to streamline repetitive engineering tasks like DBC parsing and signal mapping. • Cross-Platform & Device Compatibility: Ensure toolchain compatibility across diverse operating systems (Linux, Windows) and various hardware terminals. • Problem Solving & Requirement Translation: Diagnose complex software issues across the stack and translate automotive industry requirements into concrete technical solutions. • Automotive Network Management: Manage vehicle communication signal matrices (CAN/LIN), ensuring robust handling of DBC files, Enum values, and encoding consistency. Qualification and skills 1 Education background • Bachelor degree or above in Computer Science, Software Engineering, Electrical/Electronic Engineering, or related fields. 2 Working experiences • 1+ years in software development, focusing on toolchain or automation tools. • 1+ years in the automotive industry, specifically in CAN/LIN network and signal matrix development. • Proven experience using AI-assisted coding tools for complex development tasks. 3 Technical / Professional skills • Core Coding: Proficient in Python and HTML/JS with solid skills in software architecture (decoupling, abstraction, API design). • AI Capability: Experienced in AI Skill writing, prompt engineering, and orchestrating AI agents for multi-step coding tasks. • Cross-Platform & Device Compatibility: Ensure toolchain compatibility across diverse operating systems (Linux, Windows) and various hardware terminals. • Automotive Know-how: Deep understanding of CAN/LIN protocols and DBC structures. Familiar with handling signal matrices and Enum/Value tables. • Problem Solving: Strong ability in text processing (encoding, regex) and troubleshooting software issues across different platforms. • English: Fluent in English (written and spoken) is a must. 4 Leadership skills • Proactive in adopting new AI technologies and bridging the gap between automotive engineering and modern software development. 5 Linguistic ability • English (Professional working proficiency). • Mandarin (Native).