Key Responsibilities

• Platform Strategy & Roadmap
• Own the long-term vision and roadmap for the KAN-DO platform.
• Shape strategy across distributed systems, robotics middleware, simulator/test-rig connectivity and real-time automotive communication layers.
• Drive KAN-DO from a connectivity layer into a unified engineering platform.
• Technical Product Architecture
• Translate complex engineering requirements into structured, prioritised platform features.
• Support architectural decisions involving simulators, HiL rigs, embedded controllers and distributed compute systems.
• Ensure platform designs align with scalability, determinism and real-time performance needs.
• Integration Across Physical & Virtual Systems
• Enable seamless connectivity between simulators, HiL rigs, robotics systems, zonal/central compute hardware, MIL/SIL environments and distributed sites.
• Ensure robust mechanisms for synchronisation, fault tolerance, message handling and system availability.
• Platform Reliability, Lifecycle & Governance
• Own platform reliability, including determinism, availability and data correctness.
• Establish versioning, dependency management, integration testing and release management practices.
• Define quality standards, workflows and governance models for platform development.
• Team Development
• Support recruitment, onboarding and development of junior team members.
• Contribute to building a strong engineering culture within the platform team.

Skills and Experience

Essential

• Technical Fluency
• Strong understanding of distributed computer systems.
• Experience with real-time systems (RTOS, deterministic loops, scheduling).
• Knowledge of robotics middleware (ROS2, DDS, LCM, ZeroMQ, gRPC).
• Understanding of automotive comms (CAN/CAN-FD, SOME/IP, TSN Ethernet).
• Familiarity with simulation frameworks: HIL, SIL, MIL, FMI/FMU.
• Awareness of C++ constraints, embedded platforms and real-time software architecture.
• Product Leadership
• Experience owning a technical platform (or major subsystem) end-to-end.
• Ability to manage cross-functional engineering teams and technical stakeholders.
• Skilled in prioritising complex, deeply technical backlogs.

Domain Experience At least one of:

• Automotive software / simulation
• Robotics or autonomy
• Distributed systems engineering
• Real-time control systems

Aerospace, motorsport, or industrial automation

Desirable

• Experience with multi-site distributed test environments.
• Exposure to digital twin or virtual development toolchains.
• Knowledge of cybersecurity considerations for high-availability systems