Software Engineer – Autonomous Systems; USV​/Motion Control

We are seeking an experienced Software Engineer - Autonomous Systems to contribute to the development of autonomy solutions for Unmanned Surface Vehicles (USVs), including the conversion of manned vessels into remotely operated and autonomous platforms.

• Designing and implementing software and control architectures for USVs, including vehicle control modules and the integration of propulsion, steering, throttle, and auxiliary systems.
• Developing guidance and navigation functions such as waypoint following, line-of-sight guidance, and collision avoidance, with consideration of COLREGs
  .
• Developing sensor-fusion and state-estimation solutions using techniques such as EKF, UKF, or Particle Filters
  .
• Integrating marine sensors and navigation systems, including radar, AIS, cameras, LiDAR
  , and associated C2 systems.
• Designing fail-safe and fault-management mechanisms covering communication loss, sensor and engine failures, and remote emergency-stop scenarios.
• Developing software across the system stack, from embedded and actuator control to mission and navigation software.
• Integrating marine equipment using CAN/CAN Bus, NMEA 0183/2000
  , and related communication protocols.
• Supporting system integration, commissioning, testing, and sea trials in collaboration with hardware, systems engineering, and product teams.

• Bachelor’s or master’s degree in Robotics, Electrical/Electronic Engineering, Computer Science, Mechatronics
  , or a related discipline.
• Strong programming experience in C++.
• Practical experience in autonomous control systems and embedded platforms.
• Experience with autonomy frameworks such as MOOS-IvP, Ardu Pilot/Ardu Rover, PX4
  , or equivalent platforms.
• Experience with real-time and embedded control systems.
• Practical experience in SITL, HIL, bench testing, system integration, and field testing
  .
• Familiarity with CAN Bus, NMEA 0183/2000
  , and marine electronics integration.
• Experience with USV/UUV/ASV platforms or manned-to-unmanned vessel conversion will be considered relevant.
• Knowledge of COLREGs
  , maritime autonomy, simulation environments such as MATLAB/Simulink, Gazebo or VRX, and integration with C2 systems would be advantageous.
• Experience in AI/ML, edge computing, or cloud technologies applied to autonomous systems is also relevant.