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Internship Monte Carlo Simulation Jobs (NOW HIRING)

Nuclear Engineer

San Leandro, CA · On-site

$111K - $133K/yr

We are seeking a Nuclear Engineer with expertise in particle transportation, Monte Carlo simulation, and radiation shielding to support our fusion facility. The ideal candidate will have a strong ...

Gnc Simulation Software Engineer

Houston, TX

$55 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct Monte Carlo analyses and sensitivity studies to validate robustness and reliability. Validate simulation models against test data and engineering expectations. Use programming languages ...

Showing results 41-60

Internship Monte Carlo Simulation information

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$8

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$21

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.

$122K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Position Summary

We are seeking a Senior Software Engineer to be a primary technical contributor on the Multimode Threat Engagement Simulation Platform. You will own significant portions of the stack end-to-end - building the Julia computation backend, the React/TypeScript/CesiumJS frontend, and the CI/CD pipeline that delivers standalone Windows and Linux artifacts - with a primary emphasis on high-performance and scientific computing. You will work closely with the Lead Engineer on architecture decisions and with domain engineers (RF, EO/IR) to implement their physics models in a performant, maintainable form.

This role demands genuine depth in high-performance compute application development. The backend is not a conventional web API - it runs trajectory integration, Monte Carlo simulation across thousands of runs, and real-time surrogate model inference. You should be comfortable profiling and optimizing numerical code, reasoning about parallelism, and making informed trade-offs between simulation fidelity and throughput.

***Contingent upon contract award***

Responsibilities

High-Performance Computation Backend

  • Implement and optimize the Julia physics computation server: trajectory integration (RK4/RK45 schemes via DifferentialEquations.jl), SGP4 orbital propagation (SatelliteToolbox.jl), and Monte Carlo driver with Threads.@threads parallelism
  • Profile and optimize computation-critical paths; benchmark throughput and latency against program requirements (e.g., 10,000 Monte Carlo runs within a defined wall-clock target)
  • Integrate ONNX.jl surrogate model inference for real-time parameter sweep capabilities; ensure inference latency meets the <1ms interactive target
  • Implement CZML generation from physics outputs - trajectory arcs, satellite orbital paths, coverage footprints - for time-dynamic Cesium visualization
  • Design and maintain the mission data model: JSON serialization, versioned file format with backward compatibility, and cross-platform path handling for Windows and Linux
  • Implement the HTTP.jl API layer with well-defined request/response schemas, appropriate error handling, and structured logging

Frontend and Visualization

  • Build React/TypeScript components for the mission planning interface: tabbed mission overview, asset and task tree views, mission parameter forms, and the analysis panel
  • Integrate and maintain the CesiumJS/Resium 3D globe: asset markers, trajectory rendering, satellite ground tracks, coverage footprints, and CZML-driven animation with the Cesium timeline
  • Manage frontend application state (mission data, UI state, async physics query results) using appropriate state management patterns for a data-heavy desktop application
  • Implement data-driven analysis visualizations - trajectory plots, Pk curves, Monte Carlo distribution charts - using Recharts, Plotly.js, or equivalent

DevOps and Cross-Platform Packaging

  • Maintain the CI/CD pipeline in GitHub Actions: automated builds producing Windows NSIS installers and Linux AppImages from a single codebase
  • Manage PackageCompiler.jl sysimage builds for the Julia physics server binary on both target platforms
  • Maintain electron-builder configuration and platform-specific packaging scripts; validate installer behavior on clean Windows and Linux test environments
  • Implement build-time embedding of ONNX model files and asset resources; manage versioning of bundled artifacts

***Contingent upon contract award***

Qualifications

Citizenship: Must be a US citizen

Minimum Required Qualifications

Clearance: Active Secret Clearance

Education: B.S. in Computer Science, Software Engineering, Electrical Engineering, Physics, or related STEM field

Years of Experience: 5+ years of software development experience, with demonstrated depth in at least one of the following areas: scientific computing, numerical simulation, high-performance computing, or data-intensive desktop applications

Certifications: NA

Additional Skills

  • Proficiency in TypeScript/React or equivalent modern frontend framework
  • Experience with a compiled or JIT-compiled high-performance language (Julia, C++, Rust, Fortran, or Python with NumPy/Numba/Cython extensions)
  • Understanding of parallel computing patterns relevant to numerical workloads: thread-level parallelism, SIMD, memory-access optimization
  • Experience with REST API design and implementation as a client-server boundary within a single-machine application

Preferred Qualifications

Clearance: Active TS/SCI

Education: MS degree 

Certifications: NA

Preferred Skills

  • Direct experience with Julia and the SciML / DifferentialEquations.jl ecosystem; PackageCompiler.jl sysimage generation
  • Experience with CesiumJS, Resium, and CZML for 3D geospatial visualization
  • Familiarity with orbital mechanics, trajectory simulation, or atmospheric modeling at an implementation level (not just theoretical)
  • Experience with ONNX Runtime, ONNX.jl, or equivalent ML inference frameworks
  • Experience with Electron and electron-builder for cross-platform desktop deployment
  • Familiarity with at least one sensor or physics domain: radar detection, EO/IR performance, acoustic propagation, or multi-sensor tracking - at the level of understanding model inputs/outputs and integrating them correctly

Additional Information

Location: Colorado Springs, CO or Boston, MA

Travel: Approx. 15-20%

Remote, Onsite, or Hybrid: Hybrid

#LI-JK1

***Contingent upon contract award***

Company Overview

Odyssey is a world-class technical, engineering, and integration company serving the warfighting ecosystem with airborne integration, ISR, C2, and warfighter readiness capabilities. Odyssey meets the military's operational needs by integrating layered defense systems from equipment, technology, and services to data, information, and business operations. We streamline defense acquisition and sustainment, engineering the technical battlefield with domain-specific proficiency to ensure lethality. Odyssey is dedicated to excellent contract execution, peak organizational performance, and fostering a workplace built on employee care.

Odyssey is proud to live out our core values of commitment, ambition, and respect in our work and communities through OdysseyCares, a philanthropic group focused on giving back through direct donations, an employer match program, and volunteering events.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Please Note:

Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications.

This position is filled through continuous recruitment and will remain open until a sufficient pool of applications has been received.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, Tricare supplement, short-term disability, long-term disability, 401(k) match, flexible spending accounts, health savings accounts, employee assistance program, learning and development benefit, paid time off, and holidays.Odyssey Benefits

Employment Type: FULL_TIME