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Salary: USD 140,000 - 190,000 / annual
CHAOS Industries is a defense technology company founded in 2022 and backed by $1 billion in funding from leading investors including 8VC, Accel, and Valor Equity Partners. The company develops advanced aerospace and defense systems powered by Coherent Distributed Networks (CDN), serving warfighters, commercial air operators, and border protection teams.
The Modeling & Simulation team builds the simulation capabilities used to design, integrate, test, and validate advanced aerospace and defense systems. As a Modeling & Simulation Engineer for Radars, you will develop, integrate, and validate physics-based and performance-based models of radar and RF sensing systems. You will work across analytical, behavioral, measurement-level, signal/IQ-level, and closed-loop system models, selecting appropriate fidelity for design decisions, software integration activities, test events, and verification objectives.
Key responsibilities include:
- Develop, integrate, and maintain physics-based and performance-based models of radar and RF sensing systems
- Build models at appropriate fidelity levels: analytical radar-performance models, behavioral sensor models, measurement-generation models, signal or complex-IQ models, radar-mode models, tracker models, and closed-loop system simulations
- Model radar effects including 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
- Build target, scene, geometry, trajectory, environmental, and threat models for operationally relevant scenarios
- Perform design trades, sensitivity studies, Monte Carlo analysis, uncertainty quantification, and design of experiments
- Characterize performance using metrics such as signal-to-noise ratio, probability of detection, false-alarm performance, coverage, detection range, measurement accuracy, track accuracy, revisit rate, update rate, latency, track capacity, and robustness
- Integrate radar algorithms, radar software, embedded software, sensor models, target models, and hardware interfaces into 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 clear model documentation, validation evidence, performance reports, engineering-review material, and customer or program deliverables
You will partner with radar architecture, RF and antenna, signal processing, tracking, embedded software, systems engineering, test, and product teams. Experience in every area is not expected; candidates with depth in one or more relevant modeling and simulation domains are encouraged to apply.
REQUIREMENTS:
- 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
- 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 with government programs (DoD, 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
