System Architect - ADAS

Business Unit:

The System Architect - ADAS will be responsible for defining, developing, and integrating system-level architectures for advanced driver assistance systems and autonomous driving features. This role bridges hardware, software, and algorithmic domains, ensuring the system meets performance, safety, and regulatory requirements.

Key Responsibilities

• Define the end-to-end system architecture for ADAS functions (e.g., adaptive cruise control, lane keeping, parking assist, AEB, etc.).
• Lead system decomposition into hardware, software, and algorithmic components.
• Develop system-level requirements and ensure traceability through design, implementation, and validation.
• Work closely with cross-functional teams (sensors, perception, fusion, controls, software, hardware, and test).
• Evaluate and integrate sensor suites (camera, radar, lidar, ultrasonic, GNSS, IMU, etc.) within the vehicle architecture.
• Define communication architectures (CAN, Ethernet, LIN, FlexRay) and ensure robust data flow between ECUs and sensors.
• Support functional safety and SOTIF (ISO 26262 / ISO 21448) activities, ensuring compliance with ASIL targets.
• Participate in model-based system engineering (MBSE) and architecture modeling using relevant tools such as Enterprise Architect, SysML etc.
• Define cybersecurity requirements in line with ISO/SAE 21434.
• Support prototype development, system integration and design reviews.
• Collaborate with OEM and Tier-1 partners for system design alignment.

Qualifications:

• Bachelors or Master’s degree in Electrical, Electronics or Computer Science Engineering.
• 7+ years of experience in ADAS / Autonomous Driving Systems or related automotive embedded systems.
• Strong understanding of ADAS architectures, sensor fusion, and vehicle networks.
• Hands-on experience with AUTOSAR or middleware frameworks.
• Knowledge of Functional Safety (ISO 26262) and SOTIF (ISO 21448) processes.
• Experience with requirements management tools (e.g., DOORS).
• Familiarity with real-time systems, embedded software, and hardware-software co-design.
• Excellent analytical, communication, and system-thinking skills.
• Excellent communication and stakeholder management skills.