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Modeling Simulation Analyst Jobs in Irvine, CA (NOW HIRING)

The guidance, navigation, and control (GNC) team within TRS performs implementation, analysis, test, and validation, modeling & simulation, for GNC software solutions supporting our autonomous drone ...

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Modeling Simulation Analyst information

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$41.9K

$108.7K

$154.6K

How much do modeling simulation analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for modeling simulation analyst in Irvine, CA is $108,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What are the key skills and qualifications needed to thrive as a modeling simulation analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

Is modeling a high paying job?

Modeling simulation analysts often earn competitive salaries, especially with experience and advanced skills in programming, data analysis, and simulation tools. Salaries can vary based on industry, location, and level of expertise, but the role generally offers above-average compensation compared to many entry-level positions.

What does a modeling simulation analyst do?

A modeling simulation analyst develops and runs computer models to analyze complex systems and predict outcomes. They use specialized software and data analysis skills to support decision-making in fields like engineering, defense, or manufacturing, often working with large datasets and simulation tools. The role requires strong analytical skills, attention to detail, and knowledge of modeling techniques and programming languages.

What are popular job titles related to Modeling Simulation Analyst jobs in Irvine, CA?

For Modeling Simulation Analyst jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Modeling Simulation Analyst jobs in Irvine, CA look for?

The top searched job categories for Modeling Simulation Analyst jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Modeling Simulation Analyst jobs?

Cities near Irvine, CA with the most Modeling Simulation Analyst job openings:

Simulation and Modeling Engineer II

Relativity Space

Long Beach, CA • On-site

Full-time

Re-posted 15 days ago


Relativity Space rating

9.7

Company rating: 9.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 72 rated aerospace companies


Job description

About the Team:

The Guidance, Navigation, and Control (GNC) and Performance teams are responsible for defining and analyzing how Terran R flies, from liftoff to landing. The work combines a variety of disciplines such as advanced modeling, orbital mechanics, software development, and dynamic systems to optimize every phase of flight. You'll develop flight algorithms, simulate trajectories, and model Terran R's dynamic behavior across mission profiles. Whether you're early in your career or a seasoned expert, you'll have the opportunity to own critical pieces of the system, influence design, and see your work fly. The department is part of the Integrated Performance team, uniting key disciplines to drive performance at every stage of the mission.

About the Role:

  • You will be a key contributor to the 6DOF simulation used for GNC algorithm development, Monte Carlo analysis, and hardware-in-the-loop (HITL) testing
  • Work with analysis and hardware teams to develop and integrate subsystem models into the 6DOF simulation
  • Implement numerical solvers and physics models
  • Develop simulation configuration, scheduling, logging, and Monte Carlo capabilities
  • Develop simulation interfaces with GNC algorithms
  • Maintain and improve the development environment for simulation users
  • Contribute to other cross-functional software packages at Relativity

About You:

  • An undergraduate or graduate degree (BS/MS/PhD) in engineering, physics, mathematics or related disciplines
  • 2+ years of relevant full-time work experience
  • Proficiency with compiled (e.g. C++, Rust) and scripted (e.g. Python) languages
  • Experience developing physics-based simulations of aerospace vehicles
  • Ability to work in a fast paced and intense startup environment
  • Ability to complete projects with ownership of end-to-end solutions with a high degree of independence

Nice to haves but not required:  

  • Familiarity with the design and analysis of launch vehicles or space systems
  • Experience developing aerospace vehicle simulations that interface with GNC algorithms and/or hardware-in-the-loop (HITL) testing
  • Experience implementing high-performance computing (HPC) solutions
  • Experience implementing software development practices and workflows such as Docker, continuous integration (CI), and continuous deployment (CD)

What Relativity Space employees say

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