嵌入式基础软件工程师（AI赋能方向）_BCSC
Core
Design and develop AI Agents, Skill toolchains, and RAG knowledge bases to empower embedded software development, configuration, diagnostics, and code generation.
Role type
Embedded foundational software engineer (AI enablement)
Builds
AI-enabled embedded software tools, automated diagnostic workflows, and code generation assistants.
Domain
Automotive embedded systems / AI application integration
Deliverable
production ML models
Required skills
C programming, Python, MCU debugging, CAN/CAN-FD, UDS diagnostics, Bootloader, AUTOSAR CP/AP concepts, ISO26262 functional safety basics
Preferred skills
LLM application development, Agent development, RAG implementation, LangChain/LangGraph, Prompt engineering, End-side LLM deployment, SoC/Domain controller development
Technologies
ARXML, DaVinci, EB Tresos, LangChain, LangGraph, Vector databases
Responsibilities
Design and develop AI Agents and toolchains for embedded scenarios; Integrate LLMs and validate Agent workflows with AI platforms; Identify pain points and output AI empowerment solutions; Collaborate across teams to solve engineering integration issues; Conduct POCs and technical assessments for emerging AI trends.
