Build and maintain high-fidelity physics and end-to-end simulation models for interceptors, targets, sensors, guidance systems, aerodynamics, thermal effects, and dispersal behavior. Run Monte Carlo analyses, parameter sweeps, and probabilistic evaluations to guide system-level design decisions. Integrate models with test data and engineering systems, develop MATLAB/Python/C++ simulation infrastructure and visualization tools, and validate results against analytical or experimental data.
Overview
What You’ll Do
Required Qualifications
Nice to Haves
Wardstone is looking for a Simulation & Modeling Engineer who will build and own Wardstone’s end-to-end physics models: orbital mechanics, interceptor trajectories, guidance/dynamics, dispersion behavior, aerodynamic models, sensor models, thermal effects, and Monte Carlo analysis.
This role is central to Wardstone’s entire engineering process. Your models will define vehicle design and intercept feasibility, ΔV budgets, terminal constraints, survival envelopes, effectiveness, and system-level design trades.
You will work directly with the founders GNC, Propulsion, Sensor, and Avionics engineers to connect your models to real test data and ensure every design choice is grounded in physics.
Interceptor Dynamics Modeling
- Build high-fidelity 6DOF models of interceptor trajectories and target maneuvers.
- Model aerodynamic forces, flight regimes (subsonic → hypersonic), and uncertainties.
- Implement full state propagation with drag, atmospheric effects, gravity, and actuator limits.
Guidance, Control & Sensor Model Integration
- Integrate GNC algorithms into simulation environments.
- Model perception pipelines: IR signatures, SNR, glint, thermal clutter, and atmospheric attenuation.
- Build closed-loop simulations with perception → guidance → actuation → dynamics → intercept logic.
Hailstorm Dispersal Modeling
- Model particle trajectories, dispersal cones, cloud expansion, and lethality envelopes.
- Model impulse delivery mechanisms: blast, thrust, or hybrid dispersal events.
- Work with energetics engineers on momentary high-G propagation and multi-body interactions.
Monte Carlo & Probabilistic Analysis
- Run large-scale Monte Carlo simulations to evaluate hit probability, robustness, and margins.
- Develop parameter sweeps for timing, sensing errors, aerodynamic uncertainties, and ΔV constraints.
- Produce data-driven design recommendations for system architecture decisions.
Simulation Infrastructure & Visualization
- Build clean, modular simulation tools in MATLAB/Python/C++ for internal engineering teams.
- Develop visualization tools (2D, 3D, orbital views) used for engineering and visual storytelling.
- Maintain code quality, performance, and model usability across the engineering org.
Required Qualifications
- B.S. or M.S. in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics, or similar.
- Strong experience with dynamic simulations (MATLAB, Simulink, Python, C++, Julia, or equivalent).
- Deep understanding of orbital mechanics, flight dynamics, or missile/rocket modeling.
- Experience with numerical methods, ODE/PDE solvers, filtering, integration stability, and optimization.
- Ability to validate simulated results against analytical solutions or experimental data.
- Strong intuition for physics and comfort working with incomplete or noisy data.
- US Person or Lawful Permanent Resident status required.
- Experience modeling hypersonic flow, ablation, or high-enthalpy environments.
- Experience with high-speed particle or fragment modeling.
- Experience connecting simulation to hardware-in-the-loop systems.
- Familiarity with CFD tools (OpenFOAM, SU2, ANSYS Fluent).
- Experience with sensor modeling: IR/EO tracking, radar, radiometric models, or synthetic scene generation.
- Experience building custom visualization pipelines or simulation frameworks.
The base pay range for this role is $100,000 – $160,000 per year.
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