Software Product Manager

We're looking for a Software Product Manager to own the strategy, architecture and delivery of a next-generation engineering platform used across simulators, HiL rigs, robotics systems and distributed real-time environments.

This role is ideal for someone who's fluent in real-time systems and robotics/automotive middleware who wants end-to-end ownership of a complex technical platform. You'll define the roadmap, shape the architecture, translate engineering requirements into actionable features and guide the growth of a small but expanding team.

What You'll Do

• Own the long-term product vision and roadmap for a multi-site, distributed engineering platform.
• Shape strategy across distributed systems, robotics middleware and simulator/test-rig connectivity.
• Translate deeply technical requirements into clear, prioritised platform features.
• Support architectural decisions spanning simulators, HiL rigs, embedded controllers and distributed compute.
• Enable seamless integration between physical and virtual systems: simulators, HiL, robotics, zonal/central compute, MIL/SIL and multi-site environments.
• Drive platform reliability: determinism, availability, data correctness and robust fault-tolerance.
• Establish workflows for versioning, dependency management, automated integration testing and release governance.
• Support hiring and development of junior engineers and help shape the team culture.

• Strong understanding of distributed computer systems and real-time constraints.
• Experience with RTOS, deterministic loops, scheduling.
• Knowledge of robotics/autonomy middleware (ROS2, DDS, ZeroMQ, LCM, gRPC).
• Understanding of automotive comms (CAN/CAN-FD, SOME/IP, TSN Ethernet).
• Familiarity with HIL/SIL/MIL, FMI/FMU and real-time simulation environments.
• Awareness of C++ constraints, embedded platforms and real-time software design.

Product Leadership

• Experience owning a technical platform or major subsystem end-to-end.
• Ability to work across cross-functional engineering teams and technical stakeholders.
• Skilled at structuring and prioritising complex, deeply technical backlogs.

Domain Background (any of the following):

• Automotive software / simulation
• Robotics or autonomy
• Distributed systems engineering
• Real-time control systems
• Aerospace, motorsport or industrial automation

Nice to Have

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