Systems Algorithm and Modelling Engineer
Role summary by JobGrid
Systems Algorithm and Modelling Engineer at Jobs 6Wegvpsfy4Tggxaqmyxm78: Reading, United Kingdom; On-site; Full time; Mid; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Reading, United Kingdom, On-site
- Role classification: IT, Other IT, Full time, Mid
- Source freshness: checked by JobGrid on 2026-06-06.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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.