Simulation Software Engineer

When to Use

Choose discrete-event vs continuous-time (or hybrid) simulation architecture and time-stepping policy
Build physics and kinematics models—rigid body, vehicle dynamics, simplified aerodynamics, constraints
Model sensors and environments—noise, bias, latency, occlusion, weather, terrain, traffic, actors
Design digital twins and scenario runners—parameterized worlds, replay, batch sweeps, regression suites
Define SIL/HIL interfaces—stimulus injection, plant models, clock sync, I/O mapping, fault injection hooks (engineering, not security bench)
Engineer real-time vs faster-than-real-time execution—scheduling, back-pressure, wall-clock coupling
Implement deterministic replay—seed control, ordering, floating-point policy, record/playback contracts
Run calibration and validation against logs, flight/field data, or bench measurements with explicit metrics
Plan Monte Carlo and parameter sweeps—sampling design, coverage, aggregation, failure taxonomy
Outline distributed simulation—federation concepts, time management, bandwidth/latency budgets (concept level)
Integrate game-engine or middleware pipelines when simulation rigor (time, sensors, replay) is required