Modeling & Simulation Engineer, Missiles

CHAOS Industries•El Segundo, CA

1h•$140,000 - $190,000•Onsite

About The Position

CHAOS Industries is hiring a Modeling & Simulation Engineer for its Modeling & Simulation team, which develops physics-based models, simulation environments, and analysis tools for designing, integrating, testing, and validating aerospace and defense systems. The supplied posting describes two specializations: Missiles and Radars. For the Missiles specialization, the engineer develops, integrates, and validates dynamic and closed-loop simulations for guided weapons, interceptors, missiles, and related flight vehicles. Work spans trajectory models, 3-DOF and high-fidelity 6-DOF simulations, software-in-the-loop environments, real-time simulations, and hardware-in-the-loop test systems. The role supports vehicle design, GNC and seeker integration, performance analysis, verification, test planning, preflight prediction, and postflight reconstruction. For the Radars specialization, the engineer develops, integrates, and validates radar and RF sensing system models across analytical, behavioral, measurement-level, signal/IQ-level, and closed-loop system fidelities. The engineer partners with radar architecture, RF and antenna, signal processing, tracking, embedded software, systems engineering, test, and product teams. Both specializations emphasize technically sound modeling, validation and correlation against authoritative data, simulation tools and workflows, documentation, and collaboration across engineering disciplines. Experience in every listed area is not expected; candidates with depth in one or more relevant modeling and simulation domains are encouraged to apply.

Requirements

Missiles: Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, computer engineering, computer science, physics, applied mathematics, or a related technical discipline, or equivalent demonstrated expertise.
Missiles: Relevant experience in missile or flight-vehicle modeling and simulation, flight dynamics, GNC, trajectory analysis, weapon-system performance, or a closely related field.
Missiles: Hands-on experience developing, integrating, or using 3-DOF or 6-DOF dynamic simulations.
Missiles: Strong fundamentals in flight mechanics, rigid-body dynamics, coordinate systems and transformations, numerical integration, control or estimation concepts, and dynamic-system analysis.
Missiles: Demonstrated depth in at least one relevant missile modeling area, such as flight dynamics, guidance, control, navigation, trajectory or weapon-system performance, seeker or terminal-engagement integration, or real-time/HITL/HWIL simulation.
Missiles and Radars: Strong programming ability in at least one scientific or analytical environment such as MATLAB, Python, or C++.
Missiles: Experience with Monte Carlo, error-budget, sensitivity, robustness, uncertainty-quantification, or design-of-experiments analysis.
Missiles: Experience validating or correlating dynamic models against analytical references or authoritative subsystem, laboratory, ground-test, telemetry, flight-test, or range data.
Missiles: Experience working with system requirements, subsystem interfaces, test objectives, verification methods, and performance criteria.
Radars: Experience in one or more relevant areas, including signal- or complex-IQ-level radar simulation; radar detection, measurement generation, discrimination, or signal processing; radar tracking, estimation, data association, or sensor fusion; radar modes, resource management, or system-performance analysis; RF propagation, clutter, interference, electronic warfare, or electronic protection; or real-time radar stimulation, HITL, or HWIL.
Radars: Experience with Monte Carlo simulation, sensitivity or statistical analysis, uncertainty modeling, or design of experiments.
Radars: Experience validating or correlating models against analytical results, laboratory measurements, recorded sensor data, range data, or field or flight-test data.
Radars: Experience analyzing large engineering data sets and communicating technically defensible conclusions.
Missiles and Radars: Experience with Git, code review, automated testing, issue tracking, continuous integration, and reproducible software or analysis workflows.
Missiles and Radars: Ability to work independently, make sound technical judgments, document assumptions and limitations clearly, and collaborate across engineering disciplines.
Missiles and Radars: Active Secret clearance.

Nice To Haves

Missiles: Master's degree or higher in aerospace engineering, mechanical engineering, electrical engineering, applied mathematics, or a related field.
Missiles: Experience with tactical or strategic missiles, ballistic systems, interceptors, cruise missiles, air- or ground-launched weapons, hypersonic vehicles, launch vehicles, or other advanced guided flight systems.
Missiles: Experience designing, tuning, or evaluating guidance laws, autopilots, control laws, state estimators, Kalman filters, or multisensor navigation systems.
Missiles: Experience with classical, modern, robust, optimal, adaptive, or nonlinear control methods.
Missiles: Experience with trajectory optimization, optimal control, multidisciplinary design optimization, launch-zone, intercept, or engageability analysis.
Missiles: Experience creating or integrating aerodynamic databases, propulsion, boost-phase, thrust-vector-control, staging or separation, and mass-property models.
Missiles: Experience integrating RF, EO/IR, multimode, passive, or other seeker and target-tracking models.
Missiles: Experience with fire-control, weapon-target assignment, target-state estimation, fuzing, lethality, or endgame-performance models.
Missiles: Experience integrating embedded flight software, tactical software, auto-generated code, or processor-representative software into closed-loop simulations.
Missiles: Experience supporting flight-test planning, range operations, telemetry analysis, preflight prediction, postflight reconstruction, or flight-anomaly resolution.
Missiles: Experience with large-scale or high-performance Monte Carlo execution, parallel simulation, cloud or cluster execution, or simulation campaign orchestration.
Missiles: Experience with MBSE, model-based development, requirements traceability, formal verification and validation, verification evidence, or simulation-credibility assessments.
Missiles: Experience supporting DoD, DARPA, AFRL, ONR, MDA, NAVAIR, DEVCOM, intelligence-community, or advanced aerospace programs.
Radars: Master's degree or higher in electrical engineering, computer engineering, physics, applied mathematics, or a related field.
Radars: Experience with AESA or phased-array radar, digital beamforming, electronically steered arrays, waveform design, adaptive processing, or cognitive radar.
Radars: Experience in radar mission areas such as airborne surveillance, air-to-air, fire-control, ground-based air defense, missile warning, space surveillance, seeker radar, SAR, ISAR, GMTI, maritime surveillance, or counter-UAS.
Radars: Experience with advanced detection, low-SNR processing, clutter suppression, Doppler processing, pulse compression, space-time adaptive processing, or electronic protection.
Radars: Experience with Kalman filtering, nonlinear estimation, multi-target tracking, multi-hypothesis tracking, probabilistic data association, track management, or multisensor fusion.
Radars: Experience modeling electronic attack, electronic support, interference, contested-spectrum environments, low-observable targets, or target-signature uncertainty.
Radars: Experience with antenna-pattern, radar cross-section, computational-electromagnetics, or RF-system calibration data.
Radars: Experience with GPU acceleration, CUDA, HPC, deterministic real-time systems, FPGA or SDR interfaces, radar stimulators, or high-throughput batch execution.
Radars: Experience integrating embedded radar or tactical software into closed-loop simulations.
Radars: Experience with requirements traceability, MBSE, model-based development, formal model verification and validation, or simulation-credibility assessments.
Radars: Experience with distributed simulation frameworks such as DIS, HLA, or TENA.
Radars: Experience supporting DoD, intelligence-community, missile-defense, DARPA, AFRL, ONR, MDA, NAVAIR, DEVCOM, or advanced aerospace or commercial technology programs.
Radars: Experience building simulation APIs, scenario-generation tools, configuration systems, data pipelines, analysis tooling, visualization workflows, or automated regression tests.
Missiles and Radars: Active or eligible to obtain and maintain a Top Secret / Sensitive Compartmented Information clearance.

Responsibilities

Missiles: Develop, integrate, and maintain 3-DOF and 6-DOF flight and engagement simulations for missile systems and related flight vehicles.
Missiles: Implement and validate equations of motion, coordinate transformations, rigid-body dynamics, numerical integration, kinematics, environmental models, and vehicle-state propagation.
Missiles: Develop or integrate applicable models of vehicle, propulsion, sensor, seeker, control, launch, staging, environment, target, and threat components.
Missiles: Integrate guidance, navigation, estimation, autopilot, control, seeker, fire-control, tactical, embedded flight software, and hardware models into closed-loop simulations.
Missiles: Evaluate trajectory and engagement performance, including launch and intercept envelopes, accuracy, stability, robustness, control margins, seeker performance, and degraded or failure modes.
Missiles: Perform error-budget, Monte Carlo, sensitivity, uncertainty, covariance, design-of-experiments, and robustness analyses.
Missiles: Support system-design trades and translate system and subsystem requirements into model requirements, simulation cases, performance measures, verification methods, and objective evidence.
Missiles: Integrate models and software into desktop, SIL, SITL, HITL, HWIL, real-time, processor-in-the-loop, and batch simulation environments as applicable.
Missiles: Support integration laboratories, test planning, preflight predictions, test scenarios, telemetry and test-data analysis, postflight reconstruction, model correlation, parameter estimation, and anomaly resolution.
Missiles: Develop and maintain simulation software, reusable model components, APIs, configuration systems, scenario-generation tools, data pipelines, visualization tools, analysis workflows, and automated regression tests.
Missiles: Produce model documentation, validation evidence, performance reports, engineering-review material, and customer or program deliverables.
Radars: Develop, integrate, and maintain physics-based and performance-based radar and RF sensing models at appropriate levels of fidelity.
Radars: Model applicable radar effects, including antenna and beam patterns, waveforms, RF-chain behavior, noise, propagation, clutter, interference, jamming, target radar cross section, calibration errors, biases, and uncertainty.
Radars: Develop or integrate detection, discrimination, measurement extraction, data association, tracking, estimation, classification, sensor-fusion, radar-mode, and resource-management functions.
Radars: Build target, scene, geometry, trajectory, environmental, and threat models for operationally relevant performance evaluation.
Radars: Perform design trades, sensitivity studies, Monte Carlo analysis, uncertainty quantification, and design of experiments; assess performance using measures such as detection, false alarms, coverage, range, accuracy, update rate, latency, capacity, and robustness.
Radars: Integrate radar algorithms, software, sensor and target models, and hardware interfaces into SIL, SITL, HITL, HWIL, real-time, or batch simulation environments as applicable.
Radars: Validate and correlate models against analytical references, laboratory and chamber measurements, calibration data, recorded signal or IQ data, range data, and field or flight-test data.
Radars: Define model requirements, interfaces, assumptions, limitations, validity domains, configuration controls, and acceptance or credibility criteria.
Radars: Develop and maintain simulation software, model APIs, scenario-generation tools, configuration systems, data pipelines, visualization tools, analysis workflows, and automated regression tests.
Radars: Support test prediction, planning, scenario development, execution, anomaly investigation, and post-test analysis.
Radars: Produce model documentation, validation evidence, performance reports, engineering-review material, and customer or program deliverables.