
Controls Engineer
- Southampton
- £55,000-75,000 per year
- Permanent
- Full-time
- You will be responsible for designing, implementing, and maintaining control systems to regulate and optimize the performance of compact wind propulsion system.
- Define and maintain the system architecture linking sensors, effectors and core processors for innovative products.
- Own and evolve the control algorithms, ensuring reliability, performance and ease of use, enhance efficiency, safety, and precision.
- Develop and maintain the HMI, delivering a user friendly interface for operators.
- Undertake system commissioning on board vessels, troubleshooting hardware and software end to end.
- Capture and manage system requirements, securing stakeholder buy in and traceability from design through to in service support.
- Collaborate with multi disciplinary teams to integrate mechanical, electrical and software components.
- Build and lead a controls engineering team as the product portfolio and order book expand.
- Degree qualified in Control Engineering, Electrical/Electronic Engineering, Mechatronics or a related discipline.
- Control system architecture expertise covering sensor/effector integration and scalable designs.
- Experience of the full controls lifecycle - building from scratch, new product life cycle, defining requirements, architecture, algorithm design, testing and commissioning
- Hands on networking proficiency with at least two of IP, CAN bus, Modbus, NMEA or Serial interfaces.
- Field experience diagnosing and rectifying issues in deployed systems.
- Automation experience within marine, industrial or autonomous systems.
- Growth mindset & self direction – able to tackle unfamiliar problems, learn rapidly and make progress with minimal guidance.
- Willingness to travel globally for sea trials, factory testing and monthly company meet ups (all expenses paid).
- Deploying advanced control algorithms & AI development (e.g. Matlab/Simulink, model based design) to embedded hardware, PLCs, ECUs or CPUs.
- Exposure to AI/ML techniques applied to control systems.
- Knowledge of marine regulations and standards.
- Human Machine Interface (HMI) design for intuitive operation in demanding environments.