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Entry Level 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 ...

Neutral particle Monte Carlo simulation * Plasma diagnostics * Plasma-material interaction * Neutron transport Monte Carlo simulation Additionally, experience in the following technical areas are a ...

Analog Designer

Boxborough, MA · On-site

$195K/yr

Verify circuit robustness using Monte Carlo simulation. Characterize standard cell libraries for custom PVTS. Responsibilities: Run spice simulations for circuits that include Transmitter, Receiver ...

Neutral particle Monte Carlo simulation * Plasma diagnostics * Plasma-material interaction * Neutron transport Monte Carlo simulation Additionally, experience in the following technical areas are a ...

... Monte Carlo simulations and risk-focused data analysis. - Responsible for translating analytical findings into clear visualizations and dashboards. - Collaborate with data analytics leads and risk ...

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Entry Level Monte Carlo Simulation information

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$67.6K

$121.5K

How much do entry level monte carlo simulation jobs pay per year?

As of Sep 15, 2026, the average yearly pay for entry level 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 an entry level Monte Carlo simulation?

Entry level Monte Carlo Simulation jobs involve using probabilistic modeling and computational techniques to simulate complex systems and processes. Professionals in these roles typically assist in running simulations, analyzing results, and supporting research or decision-making in fields like finance, engineering, or data science. With guidance from senior staff, entry-level employees are expected to have a basic understanding of probability, statistics, and programming languages such as Python or R. These positions are ideal for recent graduates or those new to the field who are looking to apply mathematical and analytical skills in a practical setting.

What does an entry level Monte Carlo simulation professional do?

As an Entry Level Monte Carlo Simulation professional, you will likely assist in developing, running, and analyzing simulations to model uncertainty and predict outcomes for projects such as financial forecasting, engineering design, or risk assessment. Your daily tasks might include preparing input data, coding simulation scripts (often in Python or MATLAB), and interpreting simulation results under the guidance of senior analysts. You'll also collaborate with cross-functional teams—such as data scientists, engineers, or financial analysts—to ensure your simulations align with project goals and client needs. This hands-on experience provides a strong foundation for career growth in modeling, analytics, or advanced quantitative roles.

What are the key skills and qualifications needed to thrive as an entry level Monte Carlo simulation analyst?

To thrive as an Entry Level Monte Carlo Simulation analyst, you need a solid background in mathematics, probability, and statistics, often supported by a degree in a quantitative field such as mathematics, engineering, or physics. Familiarity with programming languages like Python or R and simulation software such as MATLAB or @RISK is typically required. Analytical thinking, attention to detail, and effective communication are important soft skills for interpreting results and collaborating with teams. These skills ensure accurate modeling, insightful analysis, and clear reporting of simulation outcomes for data-driven decision-making.

What is the difference between Entry Level Monte Carlo Simulation vs Entry Level Data Analyst?

AspectEntry Level Monte Carlo SimulationEntry Level Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; basic programming skillsBachelor's in Data Science, Statistics, or related field; proficiency in Excel and SQL
Work EnvironmentFinancial, insurance, or engineering firms; analytical teamsBusiness, marketing, finance, or tech companies; data teams
Industry UsageRisk analysis, financial modeling, simulationsData interpretation, reporting, business insights

Entry Level Monte Carlo Simulation focuses on probabilistic modeling and risk assessment using simulations, often requiring programming skills. Entry Level Data Analysts interpret data, create reports, and support decision-making. While both roles involve data handling, Monte Carlo roles emphasize simulation techniques, whereas Data Analysts focus on data visualization and analysis.

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Infographic showing various Entry Level Monte Carlo Simulation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

1217 - HWIL Engineer

Huntsville, AL • On-site

Monte Sano Research Corporation
Guided Missile and Space Vehicle Manufacturing • 51 - 200 employees

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
Job Description

Monte Sano Research Corporation (MSRC) is a Huntsville-based Small Business specializing in providing full-spectrum defense system engineering, research, design, development, integration, test, evaluation, and planning services to the U.S. Government.

As an ESOP company, our employee-owners are personally invested in the success of our customers, our programs, and one another. Our primary focus at MSRC is to provide extraordinary talent to propel the Warfighter, and we seek to hire people who are Elevated (always do the right thing), Exceptional (the very best at what they do), and Enduring (self-disciplined; self-motivated).

MSRC is seeking a full-time HWIL Engineer to join a team of engineers and technicians who perform missile guidance integration and testing for Army missile programs.

Duties and Responsibilities:

  • Develop real-time missile simulations for guidance integration HWIL testing.
  • Develop real-time interfaces between the simulation and missile guidance section hardware.
  • Develop real-time interfaces between the simulation and HWIL facility test equipment (flight motion simulators, target simulators, and GPS simulators).
  • Integrate missile subsystem models with the 6DOF simulation including aerodynamics, seeker, inertial sensor, flight code, and actuator models.
  • Perform HWIL tests and document test results.
  • Perform Monte Carlo simulation analysis and compare with HWIL simulation results.
  • Design open-loop and closed-loop HWIL test configurations.
  • Develop HWIL test plans and timing diagrams.

Education:

  • Candidate must possess a bachelor’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Mechanical Engineering from an ABET-accredited university. Master’s degree is desired.

Job Qualifications:

  • Minimum of two (2) years of experience performing 6-DOF simulation and/or HWIL testing.
  • Demonstrated experience with C++ programming in a Linux environment.

Additional Requirements:

  • Candidate must be a U.S. Citizen.
  • Candidate must currently possess and be able to maintain an active security clearance.

MSRC’s Equal Employment Opportunity (EEO) practices are grounded in federal laws, including Title VII of the Civil Rights Act of 1964, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974 (VEVRAA), and the Americans with Disabilities Act Amendments Act (ADAAA), among others. These laws prohibit discrimination in employment based on race, color, national origin, age, religion, sex, disability, marital status, veteran status, genetic information, and other protected characteristics. They also prohibit preferential treatment based on any such trait. These protections apply across all aspects of employment, including hiring, promotion, training, and termination.