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Modeling Simulation Jobs (NOW HIRING)

KBR

Modeling & Simulation Analyst

Huntsville, AL

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS) division delivers mission engineering solutions for critical U.S. Army programs, specializing in ...

KBR, Inc.

Modeling & Simulation Analyst

Huntsville, AL · On-site

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS) division delivers mission engineering solutions for critical U.S. Army programs, specializing in ...

Auria

Modeling & Simulation Analyst

Colorado Springs, CO · On-site

$90K - $130K/yr

Auria is seeking Modeling amp; Simulation (M amp;S) Analysts to support the National Space Defense Center(NSDC) located at Schriever Space Force Base, Colorado Springs, CO. This is a unique ...

Auria

Modeling & Simulation Analyst

Colorado Springs, CO · On-site

$90K - $130K/yr

Auria is seeking Modeling & Simulation (M&S) Analysts to support the National Space Defense Center(NSDC) located at Schriever Space Force Base, Colorado Springs, CO. This is a unique opportunity to ...

Trideum Corporation

$120 - $180/hr

Modeling & Simulation Subject Matter Expert (SME) Modeling & Simulation Subject Matter Expert (SME) Full-time Hampton Roads, VA (including Norfolk, Suffolk, Chesapeake, Portsmouth, Virginia Beach ...

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Apex Systems

AFSIM Modeling & Simulation Analyst

Virginia, MN · On-site

$96.43 - $137.76/hr

# AFSIM Modeling & Simulation AnalystApply**Job#: 3044139**** **MUST BE ABLE TO OBTAIN/MAINTAIN A DOD SECRET CLEARANCEAFSIM Modeling & Simulation Analyst**Location:** Rosslyn, VirginiaRole OverviewThis ...

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Modeling Simulation information

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How much do modeling simulation jobs pay per year?

As of Aug 20, 2026, the average yearly pay for modeling simulation in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is modeling and simulation?

Modeling and simulation is the process of creating and using digital models to represent real-world systems, processes, or phenomena in order to analyze and predict their behavior. Professionals in this field use specialized software and mathematical techniques to simulate scenarios, test hypotheses, and optimize performance without the risk or expense of real-world experimentation. This approach is widely used in industries such as engineering, defense, healthcare, and manufacturing to improve decision-making, training, and system design.

What are the key skills and qualifications needed to thrive as a modeling and simulation specialist?

To thrive as a Modeling and Simulation Specialist, you need strong analytical skills, a solid foundation in mathematics and statistics, and typically a degree in engineering, computer science, or a related field. Familiarity with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valuable. Critical thinking, problem-solving, and effective communication are soft skills that help professionals interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate model development, insightful analysis, and successful application of simulations to real-world problems.

How do professionals in modeling simulation typically collaborate with cross-functional teams during a project?

Modeling Simulation professionals often work closely with engineers, software developers, analysts, and project managers to develop accurate models and simulations for various applications. Collaboration usually involves gathering requirements, integrating domain expertise, validating simulation results, and refining models based on feedback. Regular meetings and iterative development cycles are common, helping ensure that models align with project goals and stakeholder needs. This interdisciplinary approach is essential for delivering robust solutions and often leads to valuable learning and career growth opportunities.

What is the difference between Modeling Simulation vs Mechanical Engineer?

AspectModeling SimulationMechanical Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's or higher in mechanical engineering; often professional engineering license
Work EnvironmentSoftware development, research labs, engineering firmsManufacturing plants, design offices, R&D departments
Industry UsageDesign validation, system analysis, virtual prototypingProduct design, testing, manufacturing processes
Common Search/ComparisonModeling Simulation vs Mechanical Engineer

Modeling Simulation specialists focus on creating virtual models and running simulations to analyze system behaviors, often requiring programming skills and software expertise. Mechanical Engineers design, develop, and test physical products and systems, utilizing their engineering knowledge in practical applications. While both roles overlap in engineering principles, Modeling Simulation emphasizes virtual analysis, whereas Mechanical Engineering centers on physical product development.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, with many roles preferring a master's degree or higher. Strong skills in programming languages such as C++, Python, or MATLAB, along with experience in simulation software and systems modeling, are essential. Gaining relevant experience through internships, certifications, or projects can improve job prospects in this specialized field.

Is modeling a high paying job?

Modeling can be a high-paying career for top professionals, especially those who work with major brands or in high-demand markets. However, income varies widely based on experience, market, and specialization, with many models earning modest wages early in their careers. Success often depends on factors like portfolio quality, networking, and market demand.
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Modeling Simulation jobs near you
Infographic showing various Modeling Simulation job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

Modeling & Simulation Engineer

CHAOS Industries

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

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, you will develop and maintain simulations for complex systems and subsystems across vehicle, sensor, software, and hardware domains. You will work with engineering teams to select the right model fidelity, build credible simulation environments, analyze results, and validate models against test data. The team owns simulation capabilities across CHAOS's product portfolio, from fast-running engineering models to high-fidelity closed-loop simulations, with model fidelity matched to the decision, test event, or verification objective.
This role requires strong technical judgment, software ability, and engineering fundamentals. You will help shape simulation architecture, model interfaces, validation workflows, and the tools used to support design trades, integration, test planning, and system verification.
What You'll Do:
  • Develop, integrate, and maintain models and simulations for advanced defense systems, including sensors, vehicles, effectors, environments, autonomy software, embedded software, and hardware interfaces.
  • Build system- and subsystem-level simulations to support design trades, performance assessment, integration, test planning, verification, field-test preparation, and post-test analysis.
  • Develop models of RF/radar, EO/IR, communications, seekers, navigation sensors, vehicles, actuators, environments, targets, and other system elements at appropriate levels of fidelity.
  • Support simulation environments such as software-in-the-loop (SITL), hardware-in-the-loop (HITL), hardware/software integration labs (HIL/SIL), real-time simulation, discrete-event simulation, automated regression testing, Monte Carlo studies, and large-scale batch analysis.
  • Work with RF, EO/IR, sensors, GNC, autonomy, flight software, embedded software, systems engineering, test, and product teams to define simulation requirements, interfaces, assumptions, and validation criteria.
  • Run sensitivity, uncertainty, design-of-experiments, and performance studies to characterize system behavior and inform engineering decisions.
  • Validate and correlate models against analytical references, lab data, calibration data, ground test, flight test, range data, hardware test, field data, or other authoritative sources.
  • Develop and maintain simulation software, model APIs, configuration systems, scenario definitions, data pipelines, analysis tools, visualization workflows, and automated validation tests.
  • Integrate embedded software, autonomy software, flight software, sensor models, hardware models, or subsystem models into closed-loop simulation environments.
  • Produce clear technical documentation, model assumptions, validation evidence, analysis summaries, engineering-review material, customer briefings, and CDRL-supporting content.
  • Help establish best practices for model development, simulation credibility, software quality, version control, reproducibility, model review, and regression testing.

Experience in every area below is not expected; candidates with depth in one or more relevant modeling and simulation domains are encouraged to apply.
Required Qualifications:
  • Bachelor's degree in engineering, computer science, physics, applied mathematics, or a related technical field, or equivalent demonstrated expertise.
  • 5+ years of experience developing, integrating, validating, or using models and simulations for complex technical systems.
  • Strong programming ability in one or more relevant languages or environments such as Python, C++, C, Rust, MATLAB/Simulink, or similar.
  • Strong fundamentals in engineering, physics, mathematics, numerical methods, software development, or data analysis.
  • Experience analyzing simulation outputs, test data, telemetry, sensor data, or engineering data sets to support technical decisions.
  • Experience with modern software development practices such as Git, code review, automated testing, issue tracking, CI/CD, and reproducible workflows.
  • Ability to work independently, make sound technical judgments, document assumptions clearly, and collaborate across engineering disciplines.
  • Eligibility to obtain and maintain a Top Secret / Sensitive Compartmented Information clearance.

Preferred Qualifications:
  • Master's degree in engineering, computer science, physics, applied mathematics, or a related technical field.
  • Experience with physics-based modeling, digital twins, dynamic-system simulation, sensor simulation, or system performance modeling.
  • Experience developing models or simulations in one or more relevant domains such as RF/radar, EO/IR, communications, seekers, flight dynamics, GNC, controls, autonomy, aerodynamics, propulsion, embedded systems, or hardware interfaces.
  • Experience with RF, radar, EO/IR, or communications modeling, including measurement generation, signal, noise, and propagation effects, environmental effects, clutter, detection performance, tracking performance, calibration assumptions, scene generation, or uncertainty modeling.
  • Experience with 6-DOF simulation, coordinate frames, numerical integration, vehicle dynamics, actuators, navigation sensors, or environmental models.
  • Experience developing or integrating SITL, HITL, HWIL, real-time, closed-loop, discrete-event, or distributed simulation environments, including DIS, TENA, HLA, or similar frameworks.
  • Experience integrating embedded software, autonomy software, flight software, sensor models, hardware models, or subsystem models into simulation environments.
  • Experience with Monte Carlo simulation, uncertainty quantification, design of experiments, sensitivity analysis, or large-scale simulation execution.
  • Experience correlating models against lab, ground, flight, range, hardware, or field-test data.
  • Experience with deterministic, high-performance, parallel, or large-scale simulation frameworks.
  • 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 TS/SCI 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.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
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