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Modeling And Simulation Engineer Jobs in California

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Simulation Engineer

Los Angeles, CA · On-site

Implement numerical simulation models for real-time or near-real-time performance on HPC or GPU platforms * Work with software engineers to build and deploy physics-based and data-driven models of ...

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Simulation Engineer

Los Angeles, CA · On-site

Implement numerical simulation models for real-time or near-real-time performance on HPC or GPU platforms * Work with software engineers to build and deploy physics-based and data-driven models of ...

Freeform

Simulation Engineer

Los Angeles, CA · On-site

Implement numerical simulation models for real-time or near-real-time performance on HPC or GPU platforms * Work with software engineers to build and deploy physics-based and data-driven models of ...

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All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in California

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 are popular job titles related to Modeling And Simulation Engineer jobs in California? For Modeling And Simulation Engineer jobs in California, the most frequently searched job titles are:
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:
Modeling And Simulation Engineer jobs near you
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.
Software Engineer - Modeling & Simulation

Software Engineer - Modeling & Simulation

Anduril Industries

Costa Mesa, CA

Other

Posted 28 days ago

Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

About the Role

We are seeking a Modeling and Simulation Engineer to develop and validate software tools for analyzing sensor and vehicle configurations in autonomous systems. This role involves creating accurate models of sensors and vehicles to evaluate technical capabilities and ensure simulations are representative of real-world hardware.
The ideal candidate will have experience in sensor modeling, simulation frameworks, and building software tools for data visualization and analysis. This role is critical in bridging simulation and physical deployment to optimize sensor and vehicle configurations.

What You'll Do
  • Sensor and Vehicle Modeling: Develop accurate models of sensors (e.g., LiDAR, cameras, IMUs) and vehicles to simulate performance under various configurations.
  • Simulation Validation: Ensure simulated sensors and platforms closely match physical hardware performance in real-world conditions.
  • Software Tooling: Build and maintain software tools for visualizing, analyzing, and optimizing sensor and vehicle configurations.
  • Performance Analysis: Conduct technical evaluations of sensor configurations to assess range, accuracy, and other performance metrics.
  • Optimization: Explore trade-offs in sensor placement, platform design, and environmental factors to maximize system performance.
  • Cross-Functional Collaboration: Work closely with perception, autonomy, and hardware teams to ensure simulation results inform real-world designs.
  • Data Visualization: Develop intuitive visualization tools to present complex simulation results to technical and non-technical stakeholders.
  • Iterative Improvement: Continuously refine models and tools based on feedback from physical testing and deployed systems.
Required Qualifications
  • Education: Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Sensor Modeling Experience: Proven experience modeling sensors like LiDAR, cameras, IMUs, and GPS in simulation.
  • Simulation Tools: Proficiency with simulation frameworks such as Unreal Engine.
  • Software Development: Strong programming skills in C++ and Python for building simulation tools and analysis pipelines.
  • Data Visualization: Experience creating tools or dashboards for visualizing simulation results.
  • Physics-Based Modeling: Familiarity with physics-based simulation techniques for accurate environmental and sensor modeling.
  • Systems Integration: Ability to validate and align simulation models with real-world hardware and systems.
  • Analytical Skills: Strong ability to analyze and interpret simulation data for performance evaluation.
Preferred Qualifications
  • Real-World Hardware Experience: Hands-on experience with physical sensors and understanding of their operational characteristics.
  • Optimization Techniques: Knowledge of optimization algorithms for sensor placement or system design.
  • Machine Learning: Familiarity with AI/ML techniques for improving simulation fidelity or analyzing sensor data.
  • Advanced Visualization: Experience with tools like Matplotlib, Plotly, or 3D visualization libraries.
  • Embedded Systems: Understanding of hardware constraints and system-level trade-offs in sensor integration.
  • Security Clearance: Active U.S. Secret clearance is a plus.
Why Join Us?

This is a unique opportunity to shape the future of autonomous systems by bridging simulation and real-world performance. Your work will ensure our sensor and vehicle configurations are optimized for mission-critical applications, driving innovation in robotics and autonomous technology.
Apply now to help us build accurate and impactful simulation tools for next-generation autonomous systems!

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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