ZipRecruiter

Log In

1

Internship Monte Carlo Simulation Jobs (NOW HIRING)

CYNET SYSTEMS

Analog Designer

San Jose, CA · On-site

$80 - $90/hr

Verify circuit robustness using Monte Carlo simulation. * Characterize standard cell libraries for custom PVTS. Experience And Education: * 10+ years of relevant work experience. * Experience with ...

ITnova

Project Risk Specialist (Construction)

New York, NY · On-site

$107K/yr

Perform qualitative and quantitative risk analyses, including Monte Carlo simulation modeling, to evaluate project cost and schedule exposure. * Analyze and model individual project risks and ...

next page

Showing results 1-20

All JobsInternship Monte Carlo Simulation Jobs

Internship Monte Carlo Simulation information

See salary details

$8

$15

$21

How much do internship monte carlo simulation jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship monte carlo simulation in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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

To thrive in a Monte Carlo Simulation internship, you need a solid background in probability, statistics, and mathematical modeling, typically supported by coursework in mathematics, engineering, or computer science. Familiarity with programming languages such as Python, MATLAB, or R, and experience with simulation software are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These competencies are crucial for accurately modeling complex systems, troubleshooting code, and translating findings into actionable insights.

What is an Internship Monte Carlo Simulation?

An Internship Monte Carlo Simulation is a training or work experience opportunity where interns use Monte Carlo simulation techniques to model, analyze, and solve complex problems involving randomness and uncertainty. Monte Carlo simulations use repeated random sampling to obtain numerical results and are widely used in fields like finance, engineering, science, and data analysis. During such an internship, participants may work on projects involving risk assessment, forecasting, optimization, or statistical analysis, often utilizing programming languages such as Python, R, or MATLAB. This experience helps interns develop practical skills in quantitative modeling, data analysis, and decision-making under uncertainty.

What are some typical projects or tasks an intern working with Monte Carlo simulation might encounter during their internship?

As an intern specializing in Monte Carlo simulation, you can expect to work on projects such as developing and running stochastic models to analyze risk, optimize processes, or predict outcomes in areas like finance, engineering, or operations. Your daily tasks may include writing code (often in Python, R, or MATLAB), analyzing simulation results, and presenting findings to team members. You'll likely collaborate closely with data scientists, analysts, and subject matter experts to refine models and interpret results. This hands-on experience will help you build both technical and communication skills, laying a strong foundation for future roles in quantitative analysis or data science.

What is the difference between Internship Monte Carlo Simulation vs Internship Data Analysis?

AspectInternship Monte Carlo SimulationInternship Data Analysis
Required SkillsProbability, statistics, programming (Python, R)Statistics, data manipulation, visualization
Work EnvironmentFinancial, insurance, risk modelingBusiness, marketing, research
Industry UsageRisk assessment, quantitative modelingData-driven decision making

Internship Monte Carlo Simulation focuses on using probabilistic models to assess risks and uncertainties, often in finance or insurance. In contrast, Internship Data Analysis involves interpreting data sets to inform business decisions. Both roles require strong statistical skills but differ in application and industry focus.

More about Internship Monte Carlo Simulation jobs
What cities are hiring for Internship Monte Carlo Simulation jobs? Cities with the most Internship 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 Internship Monte Carlo Simulation jobs? States with the most job openings for Internship Monte Carlo Simulation jobs include:
What job categories do people searching Internship Monte Carlo Simulation jobs look for? The top searched job categories for Internship Monte Carlo Simulation jobs are:
Internship Monte Carlo Simulation jobs near you
Infographic showing various Internship Monte Carlo Simulation job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Simulation and Modeling Engineer II

Simulation and Modeling Engineer II

Relativity Space

Long Beach, CA

Other

Posted 17 days ago

Job description

About the Team:

The Guidance, Navigation, and Control (GNC) and Performance teams are responsible for defining and analyzing how Terran R flies, from liftoff to landing. The work combines a variety of disciplines such as advanced modeling, orbital mechanics, software development, and dynamic systems to optimize every phase of flight. You'll develop flight algorithms, simulate trajectories, and model Terran R's dynamic behavior across mission profiles. Whether you're early in your career or a seasoned expert, you'll have the opportunity to own critical pieces of the system, influence design, and see your work fly. The department is part of the Integrated Performance team, uniting key disciplines to drive performance at every stage of the mission.

About the Role:

  • You will be a key contributor to the 6DOF simulation used for GNC algorithm development, Monte Carlo analysis, and hardware-in-the-loop (HITL) testing
  • Work with analysis and hardware teams to develop and integrate subsystem models into the 6DOF simulation
  • Implement numerical solvers and physics models
  • Develop simulation configuration, scheduling, logging, and Monte Carlo capabilities
  • Develop simulation interfaces with GNC algorithms
  • Maintain and improve the development environment for simulation users
  • Contribute to other cross-functional software packages at Relativity

About You:

  • An undergraduate or graduate degree (BS/MS/PhD) in engineering, physics, mathematics or related disciplines
  • 2+ years of relevant full-time work experience
  • Proficiency with compiled (e.g. C++, Rust) and scripted (e.g. Python) languages
  • Experience developing physics-based simulations of aerospace vehicles
  • Ability to work in a fast paced and intense startup environment
  • Ability to complete projects with ownership of end-to-end solutions with a high degree of independence

Nice to haves but not required:  

  • Familiarity with the design and analysis of launch vehicles or space systems
  • Experience developing aerospace vehicle simulations that interface with GNC algorithms and/or hardware-in-the-loop (HITL) testing
  • Experience implementing high-performance computing (HPC) solutions
  • Experience implementing software development practices and workflows such as Docker, continuous integration (CI), and continuous deployment (CD)

Apply