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Modeling Simulation Jobs in California (NOW HIRING)

Develop Flight Simulation Physics Models for eVTOL aircraft * Support vehicle level trade studies * Update system electrical, thermal, and performance model fidelity based on lab and flight test data ...

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Modeling Simulation information

See California salary details

$38.5K

$99.9K

$142.1K

How much do modeling simulation jobs pay per year?

As of Jun 20, 2026, the average yearly pay for modeling simulation in California is $99,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $127,800.00 per year, depending on experience, location, and employer.

What is modeling and simulation in a professional context?

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 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.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Specialist, and why are they important?

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 job categories do people searching Modeling Simulation jobs in California look for? The top searched job categories for Modeling Simulation jobs in California are:
What cities in California are hiring for Modeling Simulation jobs? Cities in California with the most Modeling Simulation job openings:
Infographic showing various Modeling Simulation job openings in California as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Temporary. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $99,929 per year, or $48 per hour.

Modeling & Simulation Engineer

CHAOS Industries

Hawthorne, CA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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.ย 

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 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.

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 aerospace and defense systems.
  • Build system- and subsystem-level simulations to support design trades, integration, test planning, verification, and performance assessment.
  • Develop models of vehicles, sensors, effectors, environments, software interfaces, hardware interfaces, and other system elements at appropriate levels of fidelity.
  • Support simulation environments such as software-in-the-loop, hardware-in-the-loop, real-time simulation, automated regression testing, and Monte Carlo studies.
  • Work with GNC, autonomy, flight software, systems engineering, sensor, RF, aerodynamics, propulsion, controls, test, and product teams to define simulation requirements and model interfaces.
  • Run sensitivity, uncertainty, and performance studies to characterize system behavior and inform engineering decisions.
  • Validate and correlate models against analytical references, lab data, ground test, flight test, hardware test, or other authoritative sources.
  • Develop and maintain simulation software, model APIs, configuration systems, data pipelines, analysis tools, and visualization workflows.
  • Integrate embedded software, autonomy software, flight software, or subsystem models into simulation environments.
  • Produce clear technical documentation, analysis summaries, validation evidence, and briefings for engineering teams, program leadership, and customers.
  • Help establish best practices for model development, simulation credibility, software quality, version control, reproducibility, and technical review.

Required Qualifications:

  • Bachelor's degree in engineering, computer science, physics, applied mathematics, or a related technical field.
  • 5+ years of experience developing, integrating, or validating 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, or similar.
  • Strong engineering, physics, math, or computational fundamentals.
  • Experience analyzing simulation outputs, test data, or engineering data sets to support technical decisions.
  • Experience with modern software development practices such as Git, code review, automated testing, issue tracking, and reproducible workflows.
  • Ability to work independently, make sound technical judgments, and collaborate across engineering disciplines.
  • Eligibility to obtain a Top Secret / Sensitive Compartmented Information clearance.

Preferred Qualifications:

  • Experience with physics-based modeling, digital twins, dynamic-system simulation, or system performance modeling.
  • Experience in one or more relevant domains such as flight dynamics, GNC, controls, autonomy, radar/RF, EO/IR, communications, sensors, seekers, aerodynamics, propulsion, embedded systems, or hardware test.
  • Experience with 6-DOF simulation, coordinate frames, numerical integration, vehicle dynamics, actuators, navigation sensors, or environmental models.
  • Experience developing or integrating SITL, HITL, HWIL, PITL, real-time, or closed-loop 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, hardware, or field-test data.
  • Experience with real-time, distributed, high-performance, or parallel simulation frameworks.
  • Experience with MBSE, requirements traceability, model-based development, or simulation credibility practices.
  • 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.ย 


Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

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