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Temp Monte Carlo Simulation Jobs (NOW HIRING)

Nuclear Engineer

San Leandro, CA · On-site

$105K - $155K/yr

Develop and apply Monte Carlo simulations such as MCNP, Geant4, or FLUKA for particle transport, shielding, dose assessment, and detector performance. * Design and optimize radiation shielding for ...

Nuclear Engineer

Albuquerque, NM · On-site

$95K - $114K/yr

Develop and apply Monte Carlo simulations such as MCNP, Geant4, or FLUKA for particle transport, shielding, dose assessment, and detector performance. Design and optimize radiation shielding for ...

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Temp Monte Carlo Simulation information

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$11K

$67.6K

$121.5K

How much do temp monte carlo simulation jobs pay per year?

As of Sep 7, 2026, the average yearly pay for temp monte carlo simulation 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 Temp Monte Carlo Simulation vs Temp Data Analyst?

AspectTemp Monte Carlo SimulationTemp Data Analyst
Required CredentialsKnowledge of probability, statistics, and simulation softwareProficiency in data analysis, Excel, SQL, and statistical tools
Work EnvironmentProject-based, often in finance, engineering, or risk managementOffice setting, analyzing datasets across various industries
Employer & Industry UsageUsed in finance, engineering, and risk assessment firmsCommon in finance, marketing, healthcare, and tech companies

Temp Monte Carlo Simulation focuses on modeling uncertainty and risk analysis using simulation techniques, while Temp Data Analyst interprets data to inform business decisions. Both roles require analytical skills but differ in tools and application areas.

Are Temp Monte Carlo simulations still used?

Temp Monte Carlo simulations are still used in various industries for risk analysis, financial modeling, and decision-making processes. They rely on statistical sampling and computational tools, often requiring proficiency in software like MATLAB or Python. Despite advances in alternative methods, Monte Carlo simulations remain a valuable technique for complex probabilistic assessments.

Can ChatGPT run a Temp Monte Carlo Simulation?

Temp Monte Carlo Simulation is a job role that involves designing and executing simulations to model uncertainty and risk analysis. ChatGPT cannot run simulations directly but can assist with understanding concepts, generating code, or providing guidance on tools like Python or R used in such simulations. Actual execution requires specialized software and computational resources.
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What cities are hiring for Temp Monte Carlo Simulation jobs?

Cities with the most Temp Monte Carlo Simulation job openings:

What are the most commonly searched types of Monte Carlo Simulation jobs?

The most popular types of Monte Carlo Simulation jobs are:

What states have the most Temp Monte Carlo Simulation jobs?

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What job categories do people searching Temp Monte Carlo Simulation jobs look for?

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Infographic showing various Temp Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Modeling & Simulation Engineer

Singularity Defense Corp.

Gardena, CA • On-site

Full-time

Re-posted 17 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.