Description

As the Head of System Architecture, you will shape the technical blueprint for a range of robots, ensuring a scalable and modular design that meets diverse operational needs while anticipating future technologies and business models.

Requirements

• •MSc in Systems Engineering, Electronics, Robotics, Computer Science, or related field
• •10+ years in robotics or complex systems engineering
• •5+ years in system architecture leadership in industrial environments
• •Proven track record architecting and scaling mobile robotic systems
• •Expertise in translating customer needs and technology capabilities into modular platform strategies
• •Strong knowledge of autonomy stacks (SLAM, navigation, motion planning, fleet coordination)
• •Experience with real-time systems and middleware (e.g., ROS 2)
• •Skilled in hardware/software co-design across sensors, actuators, compute, and power
• •Experience with safety and cybersecurity compliance in robotic platforms
• •Ability to lead interdisciplinary teams and mentor engineers
• •Skilled at aligning system architecture with business strategy
• •Systems thinker with a future-oriented mindset
• •Comfortable with trade-offs and balancing innovation with product maturity
• •Experience with Ex-certification or safety-critical robotic systems
• •Familiarity with large-scale simulation environments and digital twin integration
• •Track record of reducing time-to-market for robotic systems through platform reusability
• •Experience embedding certification/safety pathways into architectural frameworks

Tasks

• •Define and govern a modular, layered reference system architecture
• •Ensure hardware-agnostic architecture with clear interfaces for multiple ODDs
• •Build a platform strategy for robot variants from a central architecture
• •Define common modules for reuse and customizable modules for ODD-specific adaptation
• •Architect systems to anticipate future domains and emerging business models
• •Minimize architectural changes for certifications, subsystem upgrades, or AI/ML improvements
• •Integrate architecture with external ecosystems like fleet management and digital twins
• •Promote a single modular software backbone across robot platforms
• •Define standardized interfaces, middleware, and data models
• •Implement configuration-driven builds for quick platform setup from shared modules
• •Lead the creation of a platform-derivation process balancing reuse and hardware-specific plug-ins
• •Embed certification and safety requirements into the architectural design process
• •Support the development of a unified simulation/test framework for platform variants
• •Enable parameterized models for fast switching between robot configurations
• •Lead trade-off studies to balance payload, agility, endurance, and safety
• •Maintain architecture documentation and roadmaps for scalability and future-proofing
• •Embed diagnostics, safety, and over-the-air updates across all robot platforms

Tools & Technologies

Benefits