Modeling & Simulation Engineer, Radars

CHAOS Industries•El Segundo, CA

2d•Onsite

About The Position

CHAOS Industries is hiring a Modeling & Simulation Engineer for Radars to develop, integrate, and validate models of radar and RF sensing systems. The role spans analytical, behavioral, measurement-level, signal/IQ-level, and closed-loop system models, with fidelity selected to suit the engineering decision, integration activity, test event, or verification objective. The engineer will collaborate with radar architecture, RF and antenna, signal processing, tracking, embedded software, systems engineering, test, and product teams. Candidates with depth in one or more relevant modeling and simulation domains are encouraged to apply; experience in every listed area is not expected. The position supports the design, integration, test, and validation of advanced aerospace and defense systems through physics-based models, simulation environments, and analysis tools. The engineer will evaluate system behavior, improve designs, reduce risk, and help teams assess radar performance in operationally relevant scenarios. Work includes model development and maintenance, performance analysis, software and hardware integration, validation against authoritative sources, test support, and technical documentation. The role is onsite. The stated base salary range is $140,000–$190,000, excluding additional earnings such as bonus, equity, and benefits.

Requirements

Experience in one or more of the following areas: 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.
Strong programming ability in at least one scientific or analytical environment such as MATLAB, Python, or C++.
Experience with Monte Carlo simulation, sensitivity analysis, statistical analysis, uncertainty modeling, or design of experiments.
Experience validating or correlating models against analytical results, laboratory measurements, recorded sensor data, range data, or field- or flight-test data.
Experience analyzing large engineering data sets and communicating technically defensible conclusions.
Experience with Git, code review, automated testing, issue tracking, continuous integration, and reproducible software or analysis workflows.
Ability to work independently, make sound technical judgments, document assumptions and limitations clearly, and collaborate across engineering disciplines.
Active Secret clearance.

Nice To Haves

Master’s degree or higher in electrical engineering, computer engineering, physics, applied mathematics, or a related field.
Experience with AESA or phased-array radar, digital beamforming, electronically steered arrays, waveform design, adaptive processing, or cognitive radar.
Experience in radar mission areas such as airborne surveillance, air-to-air radar, fire-control radar, ground-based air defense, missile warning, space surveillance, seeker radar, SAR, ISAR, GMTI, maritime surveillance, or counter-UAS.
Experience with advanced detection, low-SNR processing, clutter suppression, Doppler processing, pulse compression, space-time adaptive processing, or electronic protection.
Experience with Kalman filtering, nonlinear estimation, multi-target tracking, multi-hypothesis tracking, probabilistic data association, track management, or multisensor fusion.
Experience modeling electronic attack, electronic support, interference, contested-spectrum environments, low-observable targets, or target-signature uncertainty.
Experience with antenna-pattern data, radar cross-section data, computational-electromagnetics outputs, or RF-system calibration data.
Experience with GPU acceleration, CUDA, HPC, deterministic real-time systems, FPGA or SDR interfaces, radar stimulators, or high-throughput batch execution.
Experience integrating embedded radar software or tactical software into closed-loop simulations.
Experience with requirements traceability, MBSE, model-based development, formal model V&V, or simulation-credibility assessments.
Experience with distributed simulation frameworks such as DIS, HLA, TENA, or similar technologies where relevant to the program.
Experience supporting DoD, intelligence-community, missile-defense, or advanced aerospace programs.
Experience building simulation APIs, scenario-generation tools, configuration systems, data pipelines, analysis tooling, visualization workflows, or automated regression tests.
Experience supporting DARPA, AFRL, ONR, MDA, NAVAIR, DEVCOM, intelligence-community, or advanced commercial technology programs.
Active or eligible to obtain and maintain a Top Secret/Sensitive Compartmented Information clearance.

Responsibilities

Develop, integrate, and maintain physics-based and performance-based models of radar and RF sensing systems.
Build models at appropriate levels of fidelity, including analytical radar-performance, behavioral sensor, measurement-generation, signal or complex-IQ, radar-mode, tracker, and closed-loop system models.
Model radar effects such as antenna and beam patterns, beam steering, waveforms, RF-chain behavior, thermal noise, propagation loss, atmospheric effects, multipath, clutter, interference, jamming, target radar cross section, calibration errors, measurement biases, and uncertainty.
Develop or integrate detection, thresholding, discrimination, measurement extraction, data-association, tracking, estimation, classification, sensor-fusion, radar-mode, and resource-management functions as applicable.
Build target, scene, geometry, trajectory, environmental, and threat models to evaluate radar performance in operationally relevant scenarios.
Perform design trades, sensitivity studies, Monte Carlo analysis, uncertainty quantification, and design of experiments.
Characterize performance using metrics including signal-to-noise or signal-to-interference-plus-noise ratio, probability of detection, false-alarm performance, coverage, detection range, measurement and track accuracy, revisit and update rates, latency, track capacity, and robustness to environmental or threat effects.
Integrate radar algorithms and software, embedded software, sensor and target models, and hardware interfaces into applicable SIL, SITL, HITL, HWIL, real-time, or large-scale batch simulation environments.
Validate and correlate models against analytical references, laboratory and chamber measurements, calibration data, recorded signal or IQ data, radar-range data, field-test data, flight-test data, and other authoritative sources.
Define model requirements, interfaces, assumptions, limitations, validity domains, configuration controls, and acceptance or credibility criteria.
Develop and maintain simulation software, model APIs, scenario-generation tools, configuration systems, data pipelines, visualization tools, analysis workflows, and automated regression tests.
Support pre-test prediction, test planning, test-card or scenario development, test execution, anomaly investigation, and post-test analysis.
Produce model documentation, validation evidence, performance reports, engineering-review materials, and customer or program deliverables.