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Flexible Monte Carlo Simulation Jobs (NOW HIRING)

Analog Designer 1

Boxborough, MA · On-site

$50 - $53/hr

Verify circuit robustness using Monte Carlo simulation. * Characterize standard cell libraries for custom PVTS. * Run spice simulations for circuits that include Transmitter, Receiver - CTLE/DFE, DLL ...

Risk Manager

Berkeley, CA · On-site

$140 - $210/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 ...

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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 ...

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 ...

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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 Sep 3, 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 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 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.

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 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.

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:

Infographic showing various Flexible Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Guidance, Navigation, & Controls (GNC) Simulation Engineer

Axiomspace

Houston, TX

Full-time

Re-posted 20 days ago


Key responsibilities

  • Design, analyze, and implement GNC algorithms and simulations for aerospace vehicles.

  • Maintain and develop analysis tools, regression test scenarios, Monte Carlo framework, and simulation architecture.

  • Perform 6DOF modeling, simulation, and performance analysis to evaluate system behavior under nominal and off-nominal conditions.


Job description

Axiom Space is building the world's first commercial space station -Axiom Station. Serving as a cornerstone for sustained human presence in space, this next-generation orbital platform fosters groundbreaking innovation and research in microgravity, and cultivates the vibrant, global space economy of tomorrow. Today, driven by the vision of leading humanity's journey off planet, Axiom Space is the principal provider of commercialhuman spaceflightservices to the International Space Station and developer ofadvanced spacesuitsfor the Moon and low-Earth orbit. Axiom Space is building era-defining space infrastructure that drives exploration and fuels a vibrant space economy that will empower our civilization to transcend Earth for the benefit of every human, everywhere.

Axiom Space fosters a work environment inclusive of all perspectives. We are the pioneers of commercial space, leading the transformation of low-Earth orbit into a global space marketplace. Our mission-driven team is seeking a bold and dynamic GNC Engineer who is fueled by high ownership, execution horsepower, growth mindset, and driven to understand our world, science/technology, and life itself, for the benefit of all on Earth and beyond.

POSITION SUMMARY

We are looking for a resilient, high-energy, experienced GNC Engineer with experience developing aerospace vehicle simulation models. The engineer will work in fast paced environment to contribute to the development of GNC simulation development and analysis across the program lifecycle for Axiom Space's modules. The successful engineer will work well across multi-disciplinary teams and use a system level understanding when implementing their design. The role requires strong technical background, organizational time management and adept communication skills. Will be based onsite at our Space Station Development Facility (SSDF).

KEY DUTIES & RESPONSIBILITIES

  • Design, analyze, and implement GNC algorithms & simulations for aerospace vehicles.
  • Maintain and develop analysis tools, regression test scenarios, Monte Carlo framework and simulation architecture.
  • Perform 6DOF modeling, simulation, and performance analysis to evaluate system behavior under nominal and offnominal conditions
  • Build highfidelity dynamic models of vehicles, sensors, actuators, and environmental models.
  • Conduct Monte Carlo analyses and sensitivity studies to validate robustness and reliability.
  • Validate simulation models against test data and engineering expectations.
  • Use programming languages including C/C++, python, and Matlab (or similar) to develop simulations.
  • Collaborate with embedded software teams to integrate, test, and verify GNC functionality on hardwareintheloop (HIL) systems.
  • Support development of requirements, interface definitions, and verification plans for flight software.
  • Plan and execute verification and validation activities, including unit tests, SIL/HIL testing, and integrated system tests.
  • Analyze flight test or mission data to assess GNC performance and identify areas for improvement.
  • Support troubleshooting and rootcause analysis for anomalies observed during testing or operations.
  • Work with hardware teams to define performance requirements and ensure compatibility with GNC architecture.
  • Contribute to systemlevel design reviews, requirements development, and architecture decisions.
  • Collaborate with propulsion, avionics, structures, and mission operations teams to ensure GNC solutions align with overall vehicle design.
  • Provide technical leadership on subprojects, mentor junior engineers, and support design trade studies.
  • Prepare technical reports, design documentation, test plans, and analysis summaries for internal and external stakeholders.
  • Present findings at design reviews, customer meetings, and crossdisciplinary engineering forums.
  • Ensure compliance with aerospace standards, safety requirements, and certification processes.
  • Communicating project progress, status, and potential issues to stakeholders and leadership
  • Implementing and maintaining agile project management methodologies throughout the project lifecycle
  • Perform additional job duties as assigned

QUALIFICATIONS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Education & Experience

  • Bachelor's degree in Aerospace Engineering or other related technical degree required
  • 4-9years of experience, or an equivalent combination of education and experience required
  • Experience developing with 6-DOF Monte Carlo simulations of aerospace vehicles
  • NASA's Trick simulation framework and JSC Engineering Orbital Mechanics (JEOD) preferred.
  • Proficient with C++, Matlab, and/or Python coding languages.
  • Development in a Linux environment.
  • Experience with Software/Hardware in the Loop development, analysis and test.
  • Experience validating simulation models (e.g. Sensor/actuator models)
  • Broad understanding of GNC technology domains
  • Git CI/CD + pipeline development / maintenance
  • Track record of delivering outcomes in ambiguous, fast-moving environments
  • Uses good judgement to problem-solve proactively, positively impacting hard challenges

Proven to deliver high quality results under tight deadlines

Grit

  • Passion for space and the mission
  • Entrepreneurial, growth mindset
  • Perseverance
  • Resourceful, adaptable

Skills

  • Executes priorities with precision and pace
  • High EQ and ability to collaborate within teams and cross-functionally
  • Tech-savvy in using systems and tools to move faster and smarter
  • Excellent written and verbal communication skills

Competencies:

Embody our core values of leadership, innovation, and teamwork. In addition, to perform the job successfully, an individual should demonstrate the following competencies:

  • Accountability
  • Sense of Urgency
  • Extreme Ownership
  • Execution and Delivery
  • Efficiency
  • Effectiveness

WORK ENVIRONMENT:

Generally, an office environment, but can involve inside or outside work depending on the task.

Requirements

  • Must be able to complete a U.S. government background investigation
  • Management has the prerogative to select at any level for which the position is advertised
  • Proof of U.S. Citizenship or US Permanent Residency is a requirement for this position
  • Must be willing to work evenings and weekends as needed to meet critical project milestones

Physical Requirements

  • Work may involve sitting or standing for extended periods (90% of the time)
  • May require lifting and carrying up to 25 lbs. (5% of the time)
  • Equipment and Machines
  • Standard office equipment (PC, phone, printer, etc.)

Axiom Space is proud to be an equal opportunity employer. Axiom Space does not discriminate on the basis of race, regional color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.