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Direct Simulation Of Monte Carlo Jobs (NOW HIRING)

$150 - $200/hr

Disciplined use of Monte Carlo and analytical methods, validating models against data rather than treating simulation as a black box.* Strong quantitative analysis skills using Python, MATLAB, Excel ...

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Direct Simulation Of Monte Carlo information

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How much do direct simulation of monte carlo jobs pay per year?

As of Sep 9, 2026, the average yearly pay for direct simulation of monte carlo in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is the difference between Direct Simulation Of Monte Carlo vs Monte Carlo Analyst?

AspectDirect Simulation Of Monte CarloMonte Carlo Analyst
CredentialsTypically requires a degree in mathematics, statistics, or engineeringRequires similar degrees, often with additional certifications in risk analysis or finance
Work EnvironmentOften in research labs, engineering firms, or financial institutionsPrimarily in finance, risk management, or consulting firms
Industry UsageUsed in engineering, finance, and scientific research for simulation modelingUsed mainly in finance and risk assessment for data analysis and modeling

While both roles involve Monte Carlo methods, the Direct Simulation Of Monte Carlo focuses on implementing simulation algorithms directly for complex systems, whereas the Monte Carlo Analyst specializes in analyzing and interpreting simulation data to inform decision-making in finance and risk management.

What is direct simulation of Monte Carlo?

Direct simulation of Monte Carlo is a computational technique used to model complex systems by generating random samples to estimate outcomes. It involves simulating individual events or particles directly to analyze probabilistic behavior, often requiring programming skills and statistical understanding. This method is commonly employed in fields like physics, finance, and engineering to solve problems with uncertainty.
Infographic showing various Direct Simulation Of Monte Carlo job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 15% Part Time, and 7% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Modeling & Simulation Engineer

Gardena, CA • On-site

Full-time

Re-posted 19 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.