Objective of job
The position is the top technical authority responsible for the end-to-end Electrical/Electronic Architecture of the vehicle. This role defines and drives the technical vision, architecture strategy, and engineering execution for next-generation vehicles, with strong focus on Software-Defined Vehicle (SDV) transformation and AI-enabled capabilities.
You will ensure that the E/E architecture—spanning centralized computing, zonal controllers, in-vehicle networking, software platforms, and cloud integration—is scalable, secure, high-performance, and future-ready.
Key Responsibilities
Technical Strategy & Roadmap Planning (Core Function)
1) As the technical lead for EEA, take the lead in formulating the mid-to-long-term technical strategy and roadmap (2026–2030) for the company’s next-generation electrical and electronic architecture (central computing + zone control), align with the company’s vehicle-level strategy, and define core technical directions including SOA servitization, high-performance central computing, TSN automotive Ethernet, OTA iteration, platform-based reuse, and AI technology integration.
2) Track cutting-edge technologies in the global EEA field (high-performance SoC, automotive operating system, cybersecurity, thermal management, lightweight design, etc.) and application trends of AI in the automotive sector (e.g., AI-driven adaptive architecture optimization, AI computing power scheduling, AI fault prediction, etc.), conduct technical pre-research and feasibility analysis, lead technical selection decisions, mitigate technical risks, and ensure the technological advancement of the company’s EEA architecture.
3) Coordinate the compliance planning of the EEA architecture, ensure the architecture design complies with international standards and industry regulations such as ISO 26262 (functional safety), ISO/SAE 21434 (cybersecurity), and ASPICE, and integrate compliance control requirements for AI technology applications to support product compliance certification.
Core Architecture Design and Decision-making
1) Lead the top-level design of the next-generation EEA, including core solutions such as architecture topology, functional domain/zone partitioning, controller (CCU/ZCU) definition, interface framework, and function allocation. Focus on integrating AI computing power reservation, AI algorithm deployment adaptation, and collaboration between AI and SOA services, and deliver the overall architecture design specification and key technical documents.
2) Take the lead in resolving major technical challenges in EEA architecture design (e.g., computing power allocation, network bandwidth bottlenecks, software-hardware decoupling, multi-vehicle adaptation, balance between thermal management and reliability, etc.). Focus on tackling core pain points in the integration of AI and EEA architecture (e.g., AI computing power scheduling optimization, lightweight deployment of AI models, cross-domain AI function collaboration, etc.), organize core technical reviews, and finalize critical technical decisions.
3) Oversee architecture performance optimization and lead architecture-level simulation and evaluation (computing power, latency, bandwidth, load, thermal reliability, etc.). Introduce AI-assisted simulation and AI-driven performance prediction and optimization methods to improve simulation efficiency and optimization accuracy, identify performance bottlenecks and drive rectification, ensuring the architecture meets vehicle-level functional, performance and cost requirements.
4) Lead the platform-based and modular design of the EEA, develop configuration management strategies, and realize adaptive architecture adjustment and dynamic multi-scenario adaptation combined with AI technologies, so as to improve architecture reusability, support rapid derivation of multiple vehicle models, and reduce development cost and cycle time.
Technical Competence Building & System Construction
1) Develop an EEA technical talent echelon, cultivate core technical backbones in the architecture field, lead internal technical sharing and problem-solving research, enhance the team’s overall technical competence, and build a high-level EEA technical team, focus on cultivating the team's technical capabilities in the integration of AI and EEA.
2) Establish and improve EEA architecture development processes, design specifications, documentation systems and toolchains, promote standardized and formalized architecture development in line with German OEM quality management requirements.
Cross-Department Collaboration & External Liaison
-
Collaborate with vehicle engineering, chassis, intelligent driving, body electronics, software, procurement, quality and other departments to align requirements, promote the coordinated adaptation of the EEA architecture with various business fields, and ensure the architecture solution is implementable and mass-producible.
-
Lead technical coordination and evaluation of core suppliers (high-performance SoC, domain controllers, automotive Ethernet chips, wiring harnesses, etc.), issue technical requirements, manage suppliers’ technical solutions, and ensure technical compatibility of the supply chain.
-
Liaise with the German headquarters (if applicable) to synchronize the EEA technology roadmap and architecture solutions, align with international technical standards, introduce advanced technical experience, and promote technical collaboration.
-
Participate in industry technical exchanges, represent the company to share EEA technical viewpoints, and enhance the company’s industry influence in the EEA field.
