Modeling & Simulation Engineer, Radars New El Segundo, California, United States

Chaos, Inc.; El Segundo (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401k with company match

Free daily lunch

No meeting Fridays

Unlimited PTO

Casual dress code

Job summary

CHAOS Industries is seeking a Modeling & Simulation Engineer for Radars to develop and validate physics-based radar models and to integrate them into SIL, SITL, and HITL environments. You will work across analytical, behavioral, measurement-level, and RF chain models with radar-architecture and signal processing teams.

You will perform trades, uncertainty quantification, and design-of-experiments to support mission-critical decisions.

Qualifications

• Experience with signal- or IQ-level radar simulation.
• Experience in radar detection, measurement generation, discrimination, or signal processing.
• Experience with radar tracking, estimation, data association, or sensor fusion.
• Experience with RF propagation, clutter, interference, or electronic protection.
• Strong programming ability in MATLAB, Python, or C++.
• Experience with Monte Carlo simulations, sensitivity analysis, or DOE.
• Experience validating models against analytical results, lab measurements, or field data.
• Experience with Git, code reviews, automated testing, and CI workflows.

Responsibilities

• Develop, integrate, and maintain physics-based and performance-based models of radar and RF sensing systems.
• Build models at appropriate fidelity levels for design decisions and testing.
• Model radar effects such as beam patterns, waveforms, and channel behavior.
• Integrate radar algorithms and sensor models into SIL, SITL, HITL, or real-time simulations.
• Validate models against measurements, test data, and analytical references.
• Document model requirements, interfaces, and acceptance criteria.
• Produce model documentation, validation evidence, and customer deliverables.

Skills

Radar simulation

Radar detection

Radar tracking

RF propagation

Programming (MATLAB)

Programming (Python)

Programming (C++)

Monte Carlo analysis

Git / CI

Cross-disciplinary collaboration

Education

Master’s degree or higher in EE / related field

Tools

MATLAB

Python

C++

Git

Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com .

About the Team:

The Modeling & Simulation team builds the simulation capabilities used to design, integrate, test, and validate advanced aerospace and defense systems. We develop physics-based models, simulation environments, and analysis tools that help engineering teams evaluate system behavior, improve designs, and reduce risk before hardware design, integration, test, and fielding.

About the Role:

As a Modeling & Simulation Engineer for Radars, you will develop, integrate, and validate models of radar and RF sensing systems. You will work across analytical, behavioral, measurement-level, signal/ IQ -level, and closed-loop system models, selecting the fidelity appropriate to the design decision, software integration activity, test event, or verification objective. You will partner with radar architecture, RF and antenna, signal processing, tracking, embedded software, systems engineering, test, and product teams.

Experience:

Experience in every area below is not expected; candidates with depth in one or more relevant modeling and simulation domains are encouraged to apply.

What You'll Do:

• 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 models, behavioral sensor models, measurement-generation models, signal or complex- IQ models, radar-mode models, tracker models, and closed-loop system simulations.
• Model applicable 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 applicable 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 needed 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 such as signal-to-noise or signal-to-interference-plus-noise ratio, probability of detection, false-alarm performance, coverage, detection range, measurement accuracy, track accuracy, revisit rate, update rate, latency, track capacity, and robustness to environmental or threat effects.
• 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 as applicable.
• 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.

Required Qualifications:

• 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 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.

Preferred Qualifications:

• 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 one or more 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 with MBSE , requirements traceability, model-based development, model validation, simulation credibility, or verification evidence.
• Experience supporting 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.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

Salary Range: $140,000 - $190,000

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in CHAOS Industries’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.