Modelling and Simulation Engineer
Quick Summary
Agent based modelling, Behavioural modelling, CNI modellingand physics/effects modelling.. Experience with model calibration and tuning, representational fidelity and Real-time simulation constraints.
This is not a research modelling role. You will build models that are used in real training systems, where performance, integration, and usability matter as much as correctness.
Develop and adapt models based on authority-provided data, SME input and training needs.
Implement behavioural logic, effects, interactions, and environmental responses in a way that is both representative and computationally efficient.
Tune models to balance fidelity, performance, and scalability, making pragmatic trade-offs based on how the model will actually be used.
Design models to be reusable and composable, contributing to a broader simulation ecosystem rather than one-off implementations.
Ensure models behave coherently when composed with other models and systems, including handling timing, synchronisation, and interaction consistency.
Integrate models with other simulation components, terrain and environment systems, and external systems (e.g. HLA, DIS, APIs).
Working closely with Integration Engineers, our Content & Catalogue Administrator and our Quality Assurance Engineer.
Take ownership of a primary modelling area (e.g. capability & effects, human behaviour, environment, or interoperability) while contributing across domains where required.
Support iterative improvement based on validation outcomes, exercise feedback, and operational use.
Strong analytical and systems thinking mindset.
Comfortable working across multiple modelling domains.
Curious and willing to challenge assumptions.
Balances realism with practical constraints such as performance, fidelity and scalability.
Comfortable iterating based on feedback , imperfect data, and evolving requirements.
Strong programming in high-performance C++ and Python.
Experience building real-time systems and simulation components or engines.
A strong understanding of modelling approaches including: Agent based modelling, Behavioural modelling, CNI modellingand physics/effects modelling..
Experience with model calibration and tuning, representational fidelity and Real-time simulation constraints.
Experience working with real-time 3D simulation and visualisation platforms such as Unity and Unreal Engine.
Experience designing models that can be reused and composed as part of a wider system, not built in isolation.
Experience in one or more of the following: Military capability modelling, Human Behaviour modelling, Environmental modelling, Terrain / GIS systems.
Listing Details
- Posted
- March 27, 2026
- First seen
- March 27, 2026
- Last seen
- April 24, 2026
Posting Health
- Days active
- 28
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- April 25, 2026
Signal breakdown
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