Signal Processing Engineer

We are seeking an experienced Signal Processing and algorithmic Systems Modelling Engineer to support the development of advanced communication, sensing and positioning technologies. This is an exciting opportunity for an engineer with strong MATLAB/Simulink expertise and a background in algorithm development, RF systems, signal processing and system modelling.

Working closely with Architecture, Software, Systems and Quality teams, you will develop and validate system models, perform trade‑off studies and contribute to the design of complex engineering solutions from concept through to verification.

• es Develop and maintain MATLAB/Simulink models for system-level modelling, simulation and performance analysi
• s.Design, develop and validate acquisition, tracking and signal processing algorithm
• s.Support Positioning, Navigation and Timing (PNT) studies, including algorithm development, resilience analysis and system trade-off
• s.Integrate AI tools into engineering, modelling, simulation and test activities to improve development efficiency and capabilit
• y.Perform RF system modelling, link budget analysis, sensitivity analysis and system trade‑off studie
• s.Support the definition of Concept of Operations (CONOPS) and system architecture activitie
• s.Assist in the capture, management and traceability of system requirements throughout the engineering lifecycl
• e.Produce technical reports and present simulation results and engineering recommendations to both technical and non-technical stakeholder
• s.Collaborate closely with multidisciplinary teams across Systems Engineering, Software, Firmware, RF and Quality function

• nts Degree qualified (BEng, MEng or PhD) in Engineering, Physics, Mathematics or a closely related discipli
• ne.
  
  Minimum of 5 years' experience in systems modelling, simulation or systems engineering
• ng.
  
  Strong proficiency in MATLAB and Simulink for modelling, simulation and algorithm developme
• nt.
  
  Excellent understanding of statistical signal processing, including spectral estimation and subspace decomposition techniqu
• es.
  
  Experience with phased array processing, beamforming, tracking algorithms and Positioning, Navigation and Timing (PNT) techniqu
• es.
  
  Experience modelling RF or communication systems, including link budget analysis and channel modelli
• ng.
  
  Demonstrable experience leveraging AI tools within engineering, modelling, simulation and testing environment
• ts.
  
  Familiarity with CONOPS development and requirements definition within a Systems Engineering framework
• rk.
  
  Knowledge of structured engineering lifecycle and systems engineering best practic
• es.
  
  Strong analytical skills with an organised, collaborative and problem-solving approach
• nce Python and/or C++ for algorithm development and rapid prototypi
• ng.
  
  Sensor fusion, Kalman filtering and closed-loop control system desi
• gn.
  
  Experience implementing algorithms on FPGA platform
• ms.
  
  Experience developing complex embedded, communications, sensing or autonomous syste