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Flexible Monte Carlo Simulation Jobs (NOW HIRING)

Astrolab

Lead Simulation Engineer

Hawthorne, CA · On-site

Experience setting up simulations to support Monte Carlo or similar statistical performance ... Flexible PTO and parental leave * Home office set up reimbursement * Weekly lunch stipend, plus ...

Astrolab

Lead Simulation Engineer

Hawthorne, CA · On-site

$142K - $235K/yr

Experience setting up simulations to support Monte Carlo or similar statistical performance ... Flexible PTO and parental leave * Home office set up reimbursement * Weekly lunch stipend, plus ...

Astrolab

Lead Simulation Engineer

Hawthorne, CA · On-site

$142K - $235K/yr

Experience setting up simulations to support Monte Carlo or similar statistical performance ... Flexible PTO and parental leave * Home office set up reimbursement * Weekly lunch stipend, plus ...

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Flexible Monte Carlo Simulation information

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$11K

$67.6K

$121.5K

How much do flexible monte carlo simulation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for flexible 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 the difference between Flexible Monte Carlo Simulation vs Quantitative Analyst?

AspectFlexible Monte Carlo SimulationQuantitative Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; programming skillsDegree in Finance, Economics, Mathematics; certifications like CFA often preferred
Work EnvironmentFinancial institutions, risk management, modeling teamsInvestment banks, asset management firms, hedge funds
Industry UsageUsed for risk analysis, option pricing, and financial modelingDevelops models, analyzes financial data, advises on investments

Flexible Monte Carlo Simulation specialists focus on implementing simulation techniques for risk and financial modeling, often requiring programming skills and quantitative knowledge. Quantitative Analysts develop financial models and analyze data to support investment decisions. While both roles require strong quantitative skills, the Monte Carlo Simulation role emphasizes simulation techniques, whereas Quantitative Analysts focus on broader financial analysis and strategy.

What is a flexible Monte Carlo simulation?

A Flexible Monte Carlo Simulation is a computational technique used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. Unlike traditional Monte Carlo simulations, flexible versions allow for dynamic adjustments to model parameters, scenarios, or distributions during the simulation process. This adaptability makes them particularly useful for complex systems where conditions or inputs may change over time. Flexible Monte Carlo Simulations are widely used in fields such as finance, engineering, and risk management to better understand uncertainty and make informed decisions.

What are the key skills and qualifications needed to thrive as a Monte Carlo simulation specialist, and why are they important?

To thrive as a Monte Carlo Simulation Specialist, you need a solid background in mathematics, statistics, probability theory, and a relevant degree in a quantitative field such as mathematics, physics, engineering, or finance. Familiarity with simulation software (such as MATLAB, R, Python, or specialized Monte Carlo tools) and experience with statistical programming are typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret results and present findings clearly to stakeholders. These skills are crucial to ensure accurate modeling, risk assessment, and informed decision-making across various industries.

What are common challenges faced by professionals working with flexible Monte Carlo simulation models, and how can they be addressed?

Professionals working with flexible Monte Carlo simulation models often encounter challenges such as computational complexity, managing large datasets, and ensuring the accuracy of input assumptions. To address these issues, it's important to develop efficient algorithms, utilize high-performance computing resources, and collaborate closely with subject-matter experts to validate model parameters. Additionally, regular code reviews and sensitivity analyses can help identify potential pitfalls and improve model reliability.
More about Flexible Monte Carlo Simulation jobs
What cities are hiring for Flexible Monte Carlo Simulation jobs? Cities with the most Flexible 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 Flexible Monte Carlo Simulation jobs? States with the most job openings for Flexible Monte Carlo Simulation jobs include:
What job categories do people searching Flexible Monte Carlo Simulation jobs look for? The top searched job categories for Flexible Monte Carlo Simulation jobs are:
Flexible Monte Carlo Simulation jobs near you
Infographic showing various Flexible Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Software Engineer, Simulations (Starlink)

SpaceX

Redmond, WA • On-site

Full-time

Re-posted 9 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing the technologies to enable human life on Mars. As a Simulation Software Engineer on the Starlink GNC team, you will help develop and maintain the in-house vehicle dynamics simulator and collaborate on building models to accurately represent multi-body physics and related simulations.
Responsibilities:
• Maintain in-house simulator as it pertains to Starlink and make continual improvements to help that system scale in performance and capability along with our constellation
• Maintain and improve the SpaceX GNC Monte Carlo simulation infrastructure as it pertains to Starlink
• Work with simulation software users to develop new features and models, and to improve user experience
• Improve reliability and performance of simulation software via continuous integration, profiling, etc
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or STEM discipline and 1+ years of experience in software development; OR 3+ years of professional experience in software development in lieu of a degree
• 2+ years development experience in C/C++
• Willing to work extended hours and weekends when needed
Preferred:
• Strong proficiency in C++, python, front-end skills (eg, js)
• Strong software design and development skills
• Thorough knowledge of physics and math
• Strong skills in debugging, performance optimization and unit testing
• Creative approach to problem solving
• Ability to work effectively in a dynamic environment with changing needs and requirements
• Ability to work independently and in a team, take initiative, and communicate effectively
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

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About SpaceX

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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

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