Computer Platform (ECU) Software Architect

About the Department: The Industrial Autonomy & Engineering (IA&E) unit drives digital transformation by delivering AI-enabled, software-defined, and secure intelligent products that enhance customer experience and performance. We collaborate with Automotive OEMs and Tier-1 suppliers to advance Software-Defined Vehicles using AI, IoT, cloud, and cybersecurity technologies. About the Project: A multi-program engagement with a leading global Tier-1 supplier for end-to-end AD/ADAS system development. The team collaborates across project management, system architecture, software development, AI integration, system integration, validation, safety, and security to deliver scalable, high-quality, and production-ready ADAS solutions. Role Overview: This role offers an opportunity to grow as a high-value software expert in safety-critical AI mobility systems, with exposure to the full development lifecycle from concept to SOP. Job Responsibilities: Design scalable and robust software architectures for ADAS ECUs. Optimize SoC/MPU resource allocation and manage integration component. Define AUTOSAR-based architectures (Classic & Adaptive) and optimize services. Integrate safety (ISO 26262) and cybersecurity (ISO 21434) mechanisms. Translate customer requirements into software specifications and module designs. Ensure ASPICE compliance and support CI/CD-based build and test environments. Collaborate with hardware and system teams to define interfaces and resolve dependencies. Conduct feasibility studies and technical risk assessments to maintain quality standards. Requirements Minimum Qualifications: 7+ years of experience in automotive embedded software with hands-on ECU architecture design (preferably ADAS/domain controllers), including modular and layered architectures. Strong proficiency in Classic and/or Adaptive AUTOSAR, including MCAL, ECU abstraction, services, RTE, OS, and communication stack, with experience in configuration and integration. Experience in SoC/MPU-based resource optimization (CPU, memory, bandwidth, latency) and integration across software components, middleware, and drivers. Preferred Qualifications: Experience integrating safety (ISO 26262) and cybersecurity (ISO 21434) principles into system architecture. Familiarity with CI/CD pipelines and automated build/test environments for quality assurance and traceability. Strong collaboration with hardware/BSW teams to address HW–SW integration and low-level constraints. Proven ability in feasibility analysis, technical risk assessment, and trade-off decision-making across project lifecycle. Language Requirements: Japanese/English both Advanced Business Level (Able to handle meetings independently, presentations, and discussions with clients and internal stakeholders).