Jobs Companies ALL.SPACE Systems Algorithm and Modelling Engineer

À propos de ce poste Systems Algorithm and Modelling Engineer chez ALL.SPACE

ALL.SPACE · Reading, England, United Kingdom

A motivated System Modelling Engineer with a strong background in MATLAB-based algorithm development for satellite acquisition and tracking functionalities, RF system simulation, and PNT (Positioning–Navigation–Timing) analysis. This role supports the design, simulation, and performance evaluation of advanced communication and navigation systems, using tools such as MATLAB/Simulink. The engineer will contribute to system-level trade-off studies ensuring robust system design for next-generation space and communication applications and working closely with the Head of Architecture, Systems Quality and Software teams. 

  • Develop and maintain MATLAB/Simulink models for system-level modelling analysis and algorithm evaluation. 
  • develop and test algorithms for satellite tracking and acquisition features 
  •  Support PNT-related studies, including algorithm development and system trade-offs for timing, positioning, and navigation resilience. 
  • incorporate ai tools in the design, simulation and test processes. 
  • Perform link budget analysis, sensitivity studies, and trade-off analysis across mission scenarios. 
  • Contribute to Concept of Operations (CONOPS) capture, ensuring alignment with mission objectives. 
  • Assist in defining, managing, and tracing system requirements in support of the systems engineering process. 
  • Document and present simulation results, system analyses, and requirements to both technical and non-technical audiences. 
  • Collaborate with multi-disciplinary teams across RF, software/Firmware, and systems quality.  

Requirements

Candidate must hold a degree in an Engineering (or closely related) Bachelor, Masters, or Ph.D. program 

5 years of experience in system modelling, simulation, or systems engineering. 

Proficiency in MATLAB/Simulink for algorithm modelling and analysis. 

Strong background in statistical signal processing, including advanced spectral estimation and subspace decomposition methods. 

Experience in Phased array processing, beamforming, tracking algorithms, and positioning, navigation and timing (PNT) for satellite terminal applications. 

Experience in satellite communications system modelling, including link budget analysis, satellite channel modelling, and GEO/LEO orbital mechanics. 

experience in deriving value from the effective use of ai tools in the engineering, modelling, testing processes 

Familiarity with CONOPS definition and requirements specification in a systems Engineering environment. 

Knowledge of ECSS, and MIL- standards is a plus. 

Strong analytical skills, problem-solving ability, and teamwork mindset. 

 

Desirable 

  • Experience with Python AND/OR C++ for algorithm prototyping. 
  • Experience with sensor fusion, Kalman filtering, and closed-loop control design integrating multiple navigation and RF-based sensors. 
  • exposure to fpga implementation of algorithms 
  • Experience working in satellite or aerospace projects (CubeSat, nanosat, or larger missions) 

Benefits

  • Contributory Pension Scheme 3% standard
  • 25 days Annual Leave + Public Holidays 
  • Cycle-to-Work Scheme 
  • Car Scheme (Salary Sacrifice) 
  • Free On-Site Gym 
  • Employee Assistance Programs
  • Discounts Platform 
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À propos de ALL.SPACE

ALL.SPACE, formerly Isotropic Systems, has developed the 5th generation smart terminal, capable of linking with all satellites, all networks, in all orbits, all at once. Our ground-breaking software-defined service enablement platform integrates intelligent routing, edge computing and on-demand services to deliver unprecedented network resilience and application performance. Whether you're on land, sea or air, we ensure that you stay connected.

We hire those that seek to innovate across people, process and technology. Join our global workforce, visualise the future and strive for success.

Our engineering campus and corporate offices in the UK and US are optimal environments for ideas and innovation to flourish.

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