2

Entry Level Monte Carlo Simulation Jobs (NOW HIRING)

Nuclear Engineer

San Leandro, CA · On-site

$111.30K - $133.40K/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 ...

Rates XVA Quant, AVP

New York, NY · On-site

$150K - $175K/yr

Implement Monte Carlo simulation and exposure modelling to support valuation and counterparty risk analytics * Contribute to the full model lifecycle - from research and implementation through to ...

... 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 ...

next page

Showing results 1-20

Entry Level Monte Carlo Simulation information

See salary details

$11K

$67.6K

$121.5K

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

As of May 31, 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 are the key skills and qualifications needed to thrive as an Entry Level Monte Carlo Simulation analyst, and why are they important?

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 are some typical projects or tasks that an Entry Level Monte Carlo Simulation professional can expect to work on?

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 Entry Level Monte Carlo Simulation jobs?

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 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.

More about Entry Level Monte Carlo Simulation jobs
What cities are hiring for Entry Level Monte Carlo Simulation jobs? Cities with the most Entry Level 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 Entry Level Monte Carlo Simulation jobs? States with the most job openings for Entry Level Monte Carlo Simulation jobs include:
What job categories do people searching Entry Level Monte Carlo Simulation jobs look for? The top searched job categories for Entry Level Monte Carlo Simulation jobs are:
Infographic showing various Entry Level Monte Carlo Simulation job openings in the United States as of May 2026, with employment types broken down into 20% Locum Tenens, 13% As Needed, 7% Full Time, 4% Part Time, 51% Temporary, and 5% Contract. Highlights an 100% Physical job distribution, with an average salary of $67,601 per year, or $32.5 per hour.
Monte Carlo Modeling - Doctorate Intern

Monte Carlo Modeling - Doctorate Intern

HRL Laboratories

Malibu, CA

$52 - $60/hr

Other

Posted 25 days ago


Job description

Join Us for an Unforgettable Summer Internship Experience!

Looking to grow your skills, build your network, and have a little fun along the way? Our Summer Internship Program offers the perfect mix of hands-on experience and community-building activities designed to support both your personal and professional development.

Over the course of the summer, you'll dive into meaningful work that will expand your knowledge and challenge you to think creatively. But it's not all work-we believe in balance.

You'll also get the chance to:

Connect with fellow interns and early-career professionals through engaging networking events
Unwind with movie nights, beach days, and celebrate National Intern Day
Explore our cutting-edge science during two half days of guided laboratory tours, where you'll visit 8 of our top research facilities and see innovation in action
Whether you're looking to kick-start your career or simply learn more about the exciting work we do, this is more than just an internship-it's your first step into a vibrant, supportive, and forward-thinking community.
________________________________________

HRL Laboratories pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned jointly by Boeing and GM, HRL prioritizes purpose over profit, significantly advancing the state of the art.
Materials & Microsystems (MML) 
HRL Laboratories advances critical structural and functional materials and semiconductor devices that enable precision navigation, quantum technologies and extreme-environment performance. With expertise from design through deployment, we deliver scalable, high-performance solutions that transform our customers' missions. Our work leverages digital manufacturing and scalable microfabrication techniques to meet tomorrow's toughest challenges.
________________________________________

Position Summary:

We are seeking a highly motivated modeling intern to support our growing computational modeling group. This role will contribute to advancing our research, developing innovative solutions, and driving high-quality technical outcomes aligned with organizational goals.
________________________________________

Essential Duties:

   Develop kinetic Monte Carlo models of gas phase deposition on surfaces and run simulations to understand the effect of precursor molecule size, shape, and functionality on the surface properties.
   Model and/or analyze gas-phase and surface chemical reaction kinetics based on ab initio simulation approaches. 
   Set up computational workflows on HPC clusters.
   Document results in written and slide format.  Present results to team members and customers.
   Provide process guidance to HRL customers.


________________________________________
Required Qualifications:

   Currently enrolled in a PhD program in Chemistry, Physics, Materials Science and Engineering, or a related field.
   Programming experience, especially with Python.
   Experience running simulations on a Linux high-performance computing cluster. 
   Strong analytical, problem-solving, and technical skills.
   Ability to work independently and collaboratively in a fast-paced environment.
   Excellent communication and documentation skills.
________________________________________

Preferred Qualifications (Desired Skills/Experience):

   Experience with kinetic Monte Carlo or related models of surface growth, interfacial reactions, absorption, or other growth processes with chemically reactive species.
   Experience or familiarity with ab initio modeling approaches such as DFT and NEB and codes like Quantum ESPRESSO and VASP from which activation energy/reaction rate information can be obtained as input to kinetic models.
   Prior experience in a computational laboratory and track record of high impact publications.
   Ability to develop parallelized computing workflows.
________________________________________

Physical Requirements:

   While performing the duties of this job, the employee is occasionally required to stand, climb, stoop, kneel, crouch, or crawl (IT)
________________________________________

Special Requirements:

    US Person Status

   Must been enrolled in an educational program following the end of your intern assignment

Compensation and Benefits:

  • Pay Range: $52 - $60 an hour
    • The pay will be determined on your educational year. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Your recruiter can share more about the specific range during the hiring process.
    • Benefits: 80 hours of Sick time

    Assignment Length:

    • HRL Summer internship assignments typically span 8 to 12 weeks, with three available cohort start dates: May 25, June 1 and June 15.

    Stipend: 

    • For students who will be relocating and renting in the Malibu, CA area for the summer we offer a 1 time stipend to help with moving costs. Specific information on pay out and requirements to be discussed with your recruiter. 

    Non-Discrimination and Equal Employment Opportunities (U.S.)

    Don't meet every single requirement? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

    We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing. 

    If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants | U.S. Equal Employment Opportunity Commission

    For our privacy policy please visit: www.hrl.com/privacy

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job