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Internship Monte Carlo Simulation Jobs (NOW HIRING)

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Risk Manager

Berkeley, CA · On-site

$85 - $90/hr

Build and maintain cost/schedule risk models; run Monte Carlo simulations, sensitivity and scenario analysis; assess contingency adequacy; support rebaselines and funding decisions * Mitigation ...

Risk Manager

Berkeley, CA · On-site

$85 - $90/hr

Build and maintain cost/schedule risk models; run Monte Carlo simulations, sensitivity and scenario analysis; assess contingency adequacy; support rebaselines and funding decisions * Mitigation ...

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

... Monte Carlo simulation * Apply modern statistical and computational methods to emerging tracking ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

GNC Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

... and Monte Carlo simulation runs on computer clusters. >Applies the appropriate standards, processes, procedures, and tools throughout the development life cycle. >Applies knowledge of computer ...

... Monte Carlo simulation * Apply modern statistical and computational methods to emerging tracking ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

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Internship Monte Carlo Simulation information

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

As of Aug 17, 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 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 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 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.

Is an internship Monte Carlo Simulation worth it?

An internship in Monte Carlo Simulation provides practical experience with stochastic modeling, risk analysis, and simulation tools like MATLAB or Python. It can enhance technical skills, improve employability, and offer industry networking opportunities, making it valuable for those pursuing careers in finance, engineering, or data science.
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Infographic showing various Internship Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Software Engineer, C++ Simulations (Starlink)

SpaceX

Redmond, WA • On-site

$145K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 72 rated aerospace companies


Job description

SOFTWARE ENGINEER, C++ SIMULATIONS (STARLINK)

As a C++ Simulation Software Engineer on the Starlink GNC team, you will take a leading role in architecting, refactoring, redesigning, and building high-performance C++ core infrastructure for our in-house vehicle dynamics simulator and additional simulation environments. This includes dispersed Monte Carlo simulations, hardware-in-the-loop (HITL) setups, testing frameworks, support tooling, and GNC-specific data visualization. You will own the design and evolution of the simulation backbone-driving major refactors and new designs that scale performance and capability with our growing constellation-while collaborating on high-fidelity multi-body physics models, environmental perturbations, and vehicle power/propulsion/control hardware representations.

This is a high-impact opportunity for expert C++ engineers who thrive on complex, performance-critical systems (think game engine-level simulation and high-performance computing challenges applied to real spacecraft). You will work across engineering groups to deliver the high-fidelity simulations that enable cutting-edge software and hardware development. SpaceX seeks motivated C++ specialists who love tackling hard technical problems, excel in dynamic environments, and prioritize clean, efficient, maintainable code and software best practices.

RESPONSIBILITIES:

  • Lead the design, major refactors, redesigns, and ongoing evolution of the core C++ vehicle dynamics simulator and associated testing/support infrastructure for Starlink, ensuring it scales in performance and capability with the constellation.
  • Architect and improve high-performance C++ Monte Carlo simulation infrastructure, including parallelization, dispersion handling, and reliability for large-scale runs.
  • Drive development of new simulation features, models, and tooling in collaboration with users-focusing on performance, usability, and extensibility of the C++ core.
  • Own performance optimization, profiling, continuous integration, unit/integration testing, and reliability improvements across the simulation stack.
  • Design and implement new testing frameworks, support infrastructure, and visualization components to accelerate GNC development.
  • Collaborate cross-functionally to accurately model multi-body physics, environmental effects, and hardware behaviors while maintaining rigorous software quality.

BASIC QUALIFICATIONS:

  • Bachelor's degree in a STEM discipline and 1+ years of software development experience; OR 4+ years of professional software development experience in performant C++ OR numerical simulations 

PREFERRED SKILLS AND EXPERIENCE:

  • Expert-level C++ skills focused on writing performant, simple, and safe code: strong command of the language fundamentals, efficient memory management, multi-threading/concurrency, data-oriented design, and careful performance-oriented implementation (favoring straightforward, low-overhead solutions over complex abstractions or heavy STL use when they compromise speed or safety).
  • Experience building or optimizing high-performance simulations, physics engines, or real-time systems (e.g., game engines, multi-body dynamics, robotics, or aerospace simulators).
  • High-performance computing (HPC) background: parallel computing, multi-threading, profiling/optimization tools, scalable architectures, or related techniques (Monte Carlo, distributed sims, etc.).
  • Strong communication skills and the ability to proactively coordinate with partner teams-essential for success in a role that largely serves and collaborates closely with other engineering groups.
  • Strong software design and architecture skills, especially for large-scale, maintainable C++ systems; experience leading refactors or redesigns of complex codebases.
  • Solid foundation in physics and mathematics (dynamics, numerical methods, etc.).
  • Proficiency in debugging, performance profiling, unit testing, and continuous integration for C++ codebases.
  • Secondary skills in Python and/or front-end technologies (e.g., JS) for tooling/visualization are a plus.
  • Creative problem-solving, ability to work independently or in teams, take initiative, and communicate effectively in a fast-paced, evolving environment.

ADDITIONAL REQUIREMENTS:

  • Willing to work extended hours and weekends when needed.

COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $125,000.00 - $165,000.00
Level 2: $145,000.00 - $200,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US