Our client pioneering Level 4 certifiable autonomous driving technology tailored for local public transport—built on a foundation of German precision and cutting-edge cognitive AI. Their mission is to connect people, no matter where they are, by delivering intelligent, explainable, and legally certifiable autonomous mobility systems. Through neuroscience-inspired decision-making and a full-sensor stack, their autonomous driver sets new standards for safety, transparency, and scalability.

As a System Architect, you will design and define the complex systems that power our AI-driven autonomous driving stack, from edge computing to cloud-native integrations.

Responsibilities:
• Design and implement real-time embedded systems and edge computing architectures for autonomous vehicle platforms.
• Develop and integrate vehicle networks including CAN, LIN, FlexRay, and Automotive Ethernet for robust in-vehicle communication.
• Define and maintain software and hardware system architecture for AI/MLbased perception and decision-making pipelines.
• Lead the development of service-oriented architectures (SOA, microservices) and support their deployment using containerization tools such as Docker and Kubernetes.
• Ensure compliance with functional safety and cybersecurity standards such as ISO 26262 and ISO/SAE 21434.
• Architect and implement systems that support OTA updates, V2X communication, and DevOps pipelines (e.g., GitLab CI, Jenkins).
• Bridge embedded, edge, and cloud infrastructure, leveraging platforms like AWS, GCP, or Azure for cloud-to-car functionality.

Requirements:
• Proven experience with embedded systems and real-time system architectures.
• Expertise in sensor fusion, particularly with Radar, LiDAR, and Camera systems.
• Strong background in high-performance computing (HPC) and edge AI applications in vehicles.
• Familiarity with cloud-native architectures and cloud platforms (AWS, Azure, or GCP).
• Experience with containerization (Docker, Kubernetes) and DevOps/CI-CD pipelines.
• Knowledge of Software-Defined Vehicles (SDV) and AUTOSAR (Classic & Adaptive) platforms.
• Understanding of vehicle communication protocols and V2X technologies.
• Strong grasp of system-level cybersecurity and functional safety requirements.
• Experience with ROS/ROS2 is a plus.
• Excellent communication skills and ability to collaborate across hardware/software teams.

Note: Certain expertise areas such as AUTOSAR or specific cloud platforms can be flexible based on the candidate’s strengths and learning capabilities.

Why you should join us:
• Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development.
• Enjoy flat hierarchies, an open culture, and fast decision-making processes.
• Collaborate with a skilled and dedicated team eager to share their knowledge and expertise.
• Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives.
• Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.