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Marine Autonomous Systems Engineer (Robotics & Control Systems)

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Develop and validate advanced autonomous marine systems for next-generation smart vessels. Integrate robotics, control, and embedded electronics with naval architecture teams. Lead testing, simulation, and on-water validation of autonomous marine vehicles.

Key Highlights
On-site role in Valencia, Spain for marine autonomous systems development
Design, integrate, and test control architectures, embedded electronics, and autonomy algorithms for autonomous vessels
Collaborate with naval architects, R&D, and external experts for robust system integration and sea trials
Key Responsibilities
Design, develop, and integrate control architectures, onboard electronics, sensors, actuators, embedded computers, and communication systems for autonomous and semi-autonomous marine vehicles
Coordinate robotics, flight control systems (FCS), autonomy, and smart systems development from the Valencia office in collaboration with internal and external teams
Set up and operate electronics/control benches, simulation environments, and hardware-in-the-loop testing capabilities for autonomous marine systems
Support the development of mission control, remote operation, and monitoring tools for autonomous marine vehicles
Collaborate with naval architecture, mechanical, CFD, simulation, and R&D teams to ensure robust system integration
Support prototype integration, debugging, commissioning, sea-trial preparation, and on-water testing
Analyze test data and refine control, navigation, automation, and decision-making algorithms, including AI/ML or adaptive control methods where relevant
Technical Skills Required
Control Systems Robotics Embedded Systems
Benefits & Perks
Long-term professional project
Professional stability
Dynamic work with participation in multiple projects
Nice to Have
Experience with marine applications such as autopilots, dynamic positioning, flight control systems, or remote-control systems
Experience with hardware-in-the-loop testing, simulators, electronics benches, or control system validation environments
Knowledge of AI/ML techniques applied to control, prediction, or autonomous behavior optimization
Experience with reinforcement learning or adaptive control methods
Familiarity with onboard computing platforms and real-time operating systems
Hands-on experience with prototyping, systems integration, and field or sea-trials testing
Certified drone pilot experience

Job Description

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