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Full Time Monte Carlo Simulation Jobs (NOW HIRING)

MDAEdge

Python Developer - Oil & Gas Sector

Houston, TX · On-site

$48 - $66/hr

The role involves developing Python-based analytics workflows, building Monte Carlo simulations, and creating visualizations to communicate insights to stakeholders. Responsibilities : • Develop ...

Virgin Galactic, Inc.

Sr. Engineer, Aerodynamics

Tustin, CA · On-site

$108K - $166K/yr

... Monte Carlo simulation analysis frameworks * Own the simulation toolchain lifecycle - version ... S. base salary range for this full-time position is $108,871.00-$166,036.00. The base pay actually ...

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Full Time Monte Carlo Simulation information

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$11K

$67.6K

$121.5K

How much do full time monte carlo simulation jobs pay per year?

As of Jul 28, 2026, the average yearly pay for full time 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 a Monte Carlo Simulation and what does a Full Time Monte Carlo Simulation job involve?

A Monte Carlo Simulation is a computational technique that uses random sampling to estimate complex mathematical or physical systems, often used to model uncertainty and forecast outcomes in fields like finance, engineering, and scientific research. A Full Time Monte Carlo Simulation job typically involves developing, implementing, and analyzing simulation models to provide insights or solve problems for businesses or research projects. Professionals in this role often use programming languages such as Python, R, or MATLAB, and require strong analytical, mathematical, and statistical skills. They may work in industries such as finance, insurance, energy, or manufacturing, helping organizations make informed decisions based on probabilistic modeling.

What are some common challenges faced by professionals working full time with Monte Carlo simulations, and how can they be addressed?

Professionals working full time with Monte Carlo simulations often encounter challenges such as managing computational complexity, ensuring accurate input data, and interpreting probabilistic results for stakeholders. Efficiently optimizing code and leveraging parallel computing can help address performance issues, while thorough validation and sensitivity analysis improve model reliability. Collaborating closely with subject matter experts ensures that simulation inputs and assumptions are realistic, ultimately leading to more actionable insights.

What are the key skills and qualifications needed to thrive as a Monte Carlo Simulation Specialist, and why are they important?

To excel as a Monte Carlo Simulation Specialist, you need strong quantitative analysis skills, a background in mathematics, statistics, or engineering, and typically a relevant degree. Proficiency in programming languages like Python, R, or MATLAB, as well as experience with simulation software and statistical packages, is crucial. Attention to detail, problem-solving abilities, and effective communication help explain complex results to stakeholders. These skills ensure accurate modeling, reliable risk assessments, and actionable insights for data-driven decision-making.

What is the difference between Full Time Monte Carlo Simulation vs Quantitative Analyst?

AspectFull Time Monte Carlo SimulationQuantitative Analyst
CredentialsDegree in Mathematics, Statistics, or FinanceDegree in Finance, Economics, or Mathematics
Work EnvironmentFinancial institutions, risk management teamsInvestment banks, hedge funds, asset management firms
Industry UsageRisk modeling, option pricing, simulationsMarket analysis, trading strategies, risk assessment

Full Time Monte Carlo Simulation specialists focus on developing and running complex simulations to assess financial risks and pricing models. Quantitative Analysts, while often utilizing Monte Carlo methods, have broader roles including data analysis, modeling, and strategy development. Both roles require strong quantitative skills and work in similar financial environments, but their primary responsibilities differ in scope and application.

More about Full Time Monte Carlo Simulation jobs
What cities are hiring for Full Time Monte Carlo Simulation jobs? Cities with the most Full Time 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 job categories do people searching Full Time Monte Carlo Simulation jobs look for? The top searched job categories for Full Time Monte Carlo Simulation jobs are:
Full Time Monte Carlo Simulation jobs near you
Infographic showing various Full Time Monte Carlo Simulation job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 3% Internship, 67% As Needed, 6% Full Time, 16% Nights, and 1% Summer. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Senior GNC Simulation Engineer

Approach Venture LLC

Denver, CO • On-site

$120K - $165K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

Job description

Senior GNC Simulation Engineer - Build the Flight Simulation Environment for Next-Generation Spacecraft
Denver, Colorado | On-site
Opportunity Summary
Join a venture-backed aerospace company developing advanced spacecraft platforms designed to support the next generation of autonomous in-space operations. As the company progresses from prototype development toward flight-qualified systems, this role will lead the development of the simulation and verification environment used to validate guidance, navigation, and control performance before hardware reaches orbit. As a Senior GNC Simulation Engineer, you will own the simulation infrastructure supporting flight software development, vehicle dynamics, and mission verification. You'll build high-fidelity simulation environments that accurately model spacecraft physics, sensors, actuators, and onboard software while enabling rapid testing through hardware-in-the-loop, software-in-the-loop, and Monte Carlo analysis. Working closely with GNC, embedded software, avionics, and systems engineering teams, you'll help ensure simulation results translate directly to flight performance.
About Us
We are an early-stage aerospace company developing advanced spacecraft technologies for future commercial and government space missions. Our multidisciplinary engineering team combines flight software, avionics, autonomy, and mechanical design to solve challenging problems in spacecraft mobility and in-space operations. Engineers have broad technical ownership and play an active role in moving systems from concept through flight validation.
Job Duties
  • Design, develop, and maintain high-fidelity simulation environments supporting spacecraft guidance, navigation, and control development.
  • Build 6DOF physics models representing spacecraft dynamics, orbital motion, environmental effects, and vehicle interactions.
  • Develop simulation infrastructure that integrates directly with production flight software.
  • Design and maintain hardware-in-the-loop and software-in-the-loop verification environments.
  • Develop sensor, actuator, communication, and subsystem models that accurately represent flight hardware behavior.
  • Build Monte Carlo analysis frameworks for performance evaluation across thousands of mission scenarios.
  • Develop simulation configuration, automation, logging, visualization, and telemetry tools.
  • Validate simulation fidelity through comparison with hardware testing and flight data.
  • Support regression testing and continuous verification of guidance, navigation, and control algorithms.
  • Reproduce flight anomalies and investigate discrepancies between simulation and hardware performance.
  • Collaborate closely with GNC, embedded software, avionics, perception, and systems engineering teams to improve simulation accuracy and software reliability.
  • Participate in architecture discussions, design reviews, and verification planning throughout product development.

Qualifications
  • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related technical discipline.
  • 5+ years developing simulation software for aerospace, robotics, autonomous systems, or other dynamic platforms.
  • Strong software development experience using modern C++ and Python.
  • Experience developing high-fidelity dynamic simulation environments.
  • Strong understanding of rigid-body dynamics, numerical integration, orbital mechanics, and control systems.
  • Experience integrating software into simulation or hardware verification environments.
  • Familiarity with collaborative software development practices and version control systems.

Preferred Experience
  • High-fidelity 6DOF spacecraft or aircraft simulation.
  • Hardware-in-the-loop and software-in-the-loop testing.
  • Monte Carlo simulation and statistical performance analysis.
  • Real-time or embedded software development.
  • Flight software integration and verification.
  • Sensor and actuator modeling.
  • Numerical integration methods and nonlinear dynamic systems.
  • Distributed software architectures or multi-rate simulation frameworks.
  • Data visualization, telemetry analysis, or simulation dashboards.
  • Experience supporting spacecraft, autonomous vehicles, robotics, UAVs, or other mission-critical autonomous systems.

Why Join Us
  • Own the simulation platform that validates every flight-critical GNC capability.
  • Build the verification infrastructure supporting next-generation autonomous spacecraft.
  • Work alongside a highly collaborative multidisciplinary engineering team.
  • Significant technical ownership with direct influence on product architecture and development processes.
  • Competitive salary and meaningful early-stage equity opportunity.
  • Comprehensive medical, dental, and vision coverage.
  • Life and disability insurance.
  • Paid parental leave.
  • Three weeks of paid vacation plus company holidays.

Compensation Details
$120,000 - $165,000

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