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Modeling Simulation Engineer Jobs in California (NOW HIRING)

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Modeling Simulation Engineer information

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$38.5K

$121.8K

$188K

How much do modeling simulation engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for modeling 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 the key skills and qualifications needed to thrive in the Modeling Simulation Engineer position, and why are they important?

To thrive as a Modeling Simulation Engineer, you need a strong background in mathematics, physics, and computer science, typically supported by a relevant engineering or science degree. Proficiency with simulation software such as MATLAB, Simulink, ANSYS, or similar tools, and sometimes certifications in systems engineering or modeling methodologies, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These qualifications are crucial for accurately representing complex systems, translating requirements into effective models, and collaborating with multidisciplinary teams to achieve project goals.

What does a Modeling Simulation Engineer do?

A Modeling Simulation Engineer develops virtual models and simulations to analyze complex systems and processes. They use mathematical models, computer simulations, and data analysis to predict system performance and optimize designs before physical implementation. These engineers typically work in industries like aerospace, defense, automotive, and healthcare to improve efficiency, safety, and decision-making. Their role often involves coding, algorithm development, and working with simulation software to test real-world scenarios in a virtual environment.

What are the typical responsibilities and project stages for a Modeling Simulation Engineer?

Modeling Simulation Engineers are responsible for developing mathematical models, running simulations, analyzing results, and providing recommendations to improve system performance or design. Projects often begin with understanding client or stakeholder requirements, followed by designing models based on those needs and iteratively refining them as data is collected. Engineers work closely with design, hardware, and software teams to validate models and ensure alignment with real-world performance. Collaborating with colleagues and presenting findings to both technical and non-technical audiences are routine aspects of the job, making cross-functional communication vital for project success.

What are the most commonly searched types of Modeling Simulation Engineer jobs in California? The most popular types of Modeling Simulation Engineer jobs in California are:
What are popular job titles related to Modeling Simulation Engineer jobs in California? For Modeling Simulation Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Engineer jobs in California look for? The top searched job categories for Modeling Simulation Engineer jobs in California are:
What cities in California are hiring for Modeling Simulation Engineer jobs? Cities in California with the most Modeling Simulation Engineer job openings:

Modeling & Simulation Engineer

Singularity Defense Corp.

Gardena, CA โ€ข On-site

Full-time

Posted 15 days ago


Job description

About the Company:
We are a stealth-mode Aerospace & Defense startup headquartered in Gardena, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and several Silicon Valley firms. With a world-class business development & leadership team already in place, we are well positioned to capitalize on already overwhelming demand.
Job Overview:
As a GNC Engineer focused on Simulations, you will lead the development of high-fidelity physics-based simulations for end-to-end missile flight and guidance validation. These simulations serve as a digital proving ground for our flight software, autonomy stack, and control systems-enabling us to iterate rapidly and validate in silico what would otherwise require expensive, slow, or impossible real-world testing.
You'll own simulation architecture, real-time physics integration, and testbed development. If you're comfortable writing performant simulation code in Rust and Python, and you're looking to do impactful work on a system that must work the first time, this is your chance.
Key Responsibilities:
  • Design high-performance 6-DOF flight and physics simulations
  • Build simulation components that replicate real-world dynamics and sensor behavior
  • Integrate guidance, navigation, and control (GNC) logic into full-stack simulations
  • Develop Monte Carlo, Hardware-in-the-Loop (HITL), and closed-loop test infrastructure
  • Collaborate closely with flight software, autonomy, and hardware teams to ensure simulation fidelity matches real-world constraints
  • Create tooling to support scenario authoring, data visualization, and performance analysis
  • Own simulation pipeline performance and determinism across a wide range of conditions

Basic Qualifications:
  • Bachelor's degree in Computer Science or a related technical field
  • 5+ years of experience building simulations or numerical modeling frameworks
  • Proficient in Rust and Python for performance-critical and test-driven development
  • Understanding of rigid body dynamics, kinematics, numerical integration, and physics
  • Experience building tools for flight dynamics, aerospace simulation, or autonomous systems

Preferred Qualifications:
  • Experience with Monte Carlo testing, sensor emulation, and closed-loop control validation
  • Familiarity with real-time systems, latency-sensitive architectures, or distributed simulation
  • Experience deploying or validating autonomous systems (missiles, drones, satellites, or vehicles)
  • Familiarity with Rust game engines or physics libraries (e.g., Rapier, Bevy)
  • Exposure to 3D rendering for simulation visualization (e.g., WebGL, OpenGL, Three.js)
  • Contributions to aerospace open source or simulation frameworks (e.g., JSBSim, Gazebo)

Itar Requirements
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
  • 1157, or (iv) Asylee under 8 U.S.C.
  • 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.