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Modeling And Simulation Engineer Jobs in California

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Modeling And Simulation Engineer information

See California salary details

$38.5K

$121.8K

$188K

How much do modeling and simulation engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for modeling and simulation engineer in California is $121,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $144,600.00 per year, depending on experience, location, and employer.

What are Modeling and Simulation Engineers?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What engineers make $300,000 a year?

Senior modeling and simulation engineers with extensive experience, advanced skills in programming, and often working in aerospace, defense, or high-tech industries can earn $300,000 or more annually. These roles typically require specialized knowledge, security clearances, and leadership responsibilities.

What are some common challenges a Modeling and Simulation Engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

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

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What engineers make $200,000 a year?

Modeling and Simulation Engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming and simulation tools, and work in high-demand industries such as aerospace, defense, or technology. Senior roles, managerial positions, or engineers with specialized certifications often reach or exceed this salary level.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What does a modeling and simulation engineer do?

A modeling and simulation engineer develops and analyzes digital models to replicate real-world systems or processes, often using specialized software and programming skills. They create simulations to test scenarios, optimize designs, and support decision-making in fields like aerospace, defense, or manufacturing, typically requiring knowledge of physics, mathematics, and engineering principles.

What engineers make $500,000?

Senior modeling and simulation engineers with extensive experience, advanced skills in programming, and expertise in specialized tools can earn salaries approaching or exceeding $500,000, especially in high-demand industries like aerospace, defense, or technology. Such compensation often includes bonuses, stock options, or other incentives for top-tier professionals in leadership or highly specialized roles.
What job categories do people searching Modeling And Simulation Engineer jobs in California look for? The top searched job categories for Modeling And Simulation Engineer jobs in California are:
What cities in California are hiring for Modeling And Simulation Engineer jobs? Cities in California with the most Modeling And Simulation Engineer job openings:
Infographic showing various Modeling And Simulation Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,783 per year, or $58.5 per hour.

Modeling & Simulation Engineer

CHAOS Industries

El Segundo, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Key responsibilities

  • Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives.

  • Develop, configure, and execute analysis using mission-level models and simulations to evaluate system and platform performance in operationally relevant scenarios.

  • Apply statistical analysis techniques to simulation output data to quantify key performance metrics, identify trends, and characterize system effectiveness.


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.

Role Overview:

As a Modeling & Simulation Engineer: Operations Analysis at CHAOS, you will design, develop, execute, analyze, and validate models and simulations to deliver operational analysis and system performance assessment across defense, national security, and commercial programs. You will have freedom to move rapidly and use your expertise to apply rigorous statistical methods to analyze simulation outcomes, quantify system effectiveness, and communicate actionable insights to technical teams, leadership, and customers. Your work will directly inform critical decisions around sensor performance, mission planning, weapon effectiveness, and platform capability evaluation.

This is an exciting opportunity to be among the first members of a rapidly growing team of professionals dedicated to delivering highly impactful technologies to the defense, national security, and critical industry sectors.

Responsibilities:

  • Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives, managing your competing priorities and timelines effectively.
  • Develop, configure, and execute analysis using mission-level models and simulations such as AFSIM, ESAMS, Brawler, Ansys STK, and/or physics-based models to evaluate system and platform performance in operationally relevant scenarios.
  • Apply statistical analysis techniques to simulation output data to quantify key performance metrics, identify trends, and characterize system effectiveness.
  • Build, refine, and analyze models of sensors, communications systems, aircraft (including unmanned), weapons, and spacecraft within high-fidelity, engagement-level, and mission-level simulation frameworks.
  • Develop and maintain Python-based analysis tools and pipelines for data processing, statistical analysis, and visualization.
  • Document methodology, assumptions, and findings in technical reports and briefing materials, including data visualizations, and present results to both technical and non-technical audiences.
  • Collaborate with engineering, business development, and customer teams to translate operational questions into well-structured analytical approaches.
  • Maintain software development best practices including version control and reproducible analysis workflows.
  • Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Minimum Requirements:

  • Bachelor's degree or higher in Computer Science, Aerospace/Software/Computer Engineering, Data Science, Statistics, Mathematics, Operations Research, Physics, or a related field.
  • 5+ years of experience supporting defense, intelligence, or advanced technology programs through industry or government employment.
  • Significant experience developing analytical tools and applying rigorous statistical methods to interpret and present results.
  • Strong proficiency in Python and MATLAB, including standard scientific computing and visualization libraries (such as Pandas, Polars, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, CuPy, or PyTorch).
  • Exceptional data visualization skills and comfort with developing CONOPS/OV-1 visuals and briefing packages.
  • Proficiency with software development practices including version control and leveraging/validating outputs of AI-assisted coding tools.
  • Prior experience in developing/working with rigid body/6 Degrees of Freedom physics simulations.
  • Demonstrated ability to work independently and deliver analytical products with minimal oversight.
  • Comfortable working on Linux-based systems and writing scripts and software for scalability.
  • Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Requirements:

  • Demonstrated experience performing operations analysis studies using combat simulations (such as AFSIM, ESAMS, Brawler, and/or physics-based models), including interpreting results with statistical rigor and briefing key stakeholders.
  • Extensive experience in radar sensor performance analysis, including quantification of key metrics and performance parameters, and conducting mission-level analysis of air-to-air, air-to-surface, surface-to-air, and electronic warfare engagements.
  • Expertise in developing and validating models of sensors (especially radar), communications, aircraft (including unmanned aerial systems), weapons (especially missiles), or spacecraft in mission-level simulation environments such as AFSIM or Ansys STK.
  • Exposure to Distributed Interactive Simulation (DIS) networking and visualization tools such as MAK VR-Forces, SIMDIS, or similar.
  • Exposure to PX4 Guidance, Navigation & Control, and software-in-the-loop simulation with platforms such as X-Plane, Gazebo, or NVIDIA Omniverse.
  • Experience supporting U.S. Department of Defense branches and related research labs such as DARPA, ONR, AFRL, or others, and commercial advanced 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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