Principal Systems Engineer - (Sensors)

Join Us at SRT Marine Systems as an Edge Systems Engineer
Location: Cardiff / Hybrid (1–2 days in office)
At SRT Marine Systems, we are global leaders in maritime surveillance, delivering next-generation maritime domain awareness technologies that enhance security, safety, environmental protection, and sustainability. Our systems are used worldwide — from national coast guards to individual vessel owners — making a tangible impact on how the seas are monitored and protected.
We’re seeking an experienced and versatile Systems Engineer to join our Edge Team — a rare opportunity to help define and deliver our cutting-edge Maritime Surveillance and Fisheries Monitoring solutions, working at the intersection of hardware, software, and advanced sensor technologies.
About the Role
In the Edge Team, you’ll work on the “sensors at the fringe” — fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstream systems and training our Delivery Team for field deployment.
The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You’ll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life.
What You’ll Be Doing

• Design, develop, and maintain edge-sensor solutions focusing on performance, reliability, and scalability.
  
• Build test infrastructure to capture and analyse quality and performance metrics.
  
• Work across the stack — UI, backend, robotics, device integrations, networking — learning new technologies as needed.
  
• Collaborate with cross-functional teams to plan, build, and test complex functionality.
  
• Diagnose and resolve technical issues through root cause analysis.
  
• Automate SDLC processes to improve efficiency and reduce manual effort.
  
• Produce and maintain technical documentation.
  
• Mentor peers, contribute to code reviews, and promote collaborative working practices.
  What You’ll Bring
  
• Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust.
  
• Broad exposure to remote sensing disciplines, including:
  
  • Mathematics, physics, and geospatial mapping.
    
  • Working with sensor hardware and electronics.
    
  • Networking principles, protocols, and services.
    
  • Application development across embedded, desktop, and web platforms.
    
  • Video and radar signal processing (e.g., OpenCV).
    
  • AI-based, hardware-accelerated image processing (e.g., YOLO).
    
• Familiarity with Enterprise Systems architecture.
  
• Experience with version control systems (Git) and SDLC automation tools.
  
• Excellent problem-solving, debugging, and collaboration skills.
  Our Values at SRT Marine
  Ambition – Aspiring to lead in maritime domain management.
  Innovation – Driving improvement through creativity and forward-thinking.
  Quality – Committing to high standards in performance and reliability.
  Responsibility – Being individually accountable and team-driven.
  Team – Collaborating openly with colleagues, partners, and customers.
  Why Join Us?
  
• Work on mission-critical maritime surveillance systems used worldwide.
  
• Be part of an ambitious, innovative, and supportive team.
  
• Make a direct impact on global maritime safety and sustainability.
  
• Enjoy flexible hybrid working.
  
• Competitive salary and benefits, including:
  
  • Matched pension contributions up to 5%
    
  • 25 days annual leave (rising to 28 with service)
    
  • Private health care
    
  • Flexible working opportunities
    
  • Development and training programmes
    SRT Marine plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds