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Monte Carlo Simulation Jobs in California (NOW HIRING)

Build test benches to support simulation and verification, including Monte Carlo yield analysis across PVT corners * Guide layout engineers on circuit layout in deep sub-micron process nodes (7nm and ...

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Risk Manager

Berkeley, CA · On-site

$90/hr

Perform Monte Carlo simulations, sensitivity analysis, scenario analysis, uncertainty analysis, and contingency assessments . * Integrate risk with Primavera P6, cost estimates, control accounts ...

You may excel here if you've built 6-DOF or Monte Carlo simulation frameworks that other engineers design and validate against. Not sure, or a strong generalist? If you move across GNC rather than ...

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Risk Manager

Berkeley, CA · On-site

$90/hr

Perform Monte Carlo simulations and cost analysis. * Support effective development, execution and monitoring of the risk response actions: develop measurable, time phased mitigation plans * Integrate ...

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Support 3-DOF and 6-DOF Monte Carlo simulation campaigns for new vehicles, from dispersion definition through results synthesis * Work directly with customers to support constellation design and ...

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Monte Carlo Simulation information

See California salary details

$10.9K

$66.7K

$119.9K

How much do monte carlo simulation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for monte carlo simulation in California is $66,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $78,500.00 per year, depending on experience, location, and employer.

What is a Monte Carlo simulation?

A Monte Carlo Simulation job typically involves using statistical techniques to model uncertainty and predict outcomes in various fields such as finance, engineering, and risk analysis. Professionals in this role develop and implement stochastic models to analyze complex systems and optimize decision-making. They often work with programming languages like Python, R, or MATLAB and apply probability theory to simulate real-world scenarios.

What are the typical daily responsibilities for someone working in Monte Carlo simulation roles?

Professionals in Monte Carlo Simulation roles typically spend their days developing, running, and analyzing computational models to assess risk, forecast outcomes, or optimize processes. Responsibilities often include collaborating with cross-functional teams to define model parameters, preparing and cleaning large datasets, coding simulation algorithms, and interpreting results to guide business or engineering decisions. You may also present findings to non-technical stakeholders and document methodologies for reproducibility. This role offers a dynamic blend of independent technical work and collaborative problem-solving, making it ideal for those who enjoy both analytical tasks and teamwork.

What are the key skills and qualifications needed to thrive in the Monte Carlo simulation position, and why are they important?

To thrive as a Monte Carlo Simulation specialist, you need strong quantitative skills, a background in mathematics, statistics, or engineering, and experience with probability-based modeling. Expertise with programming tools such as Python, MATLAB, R, or specialized simulation software, along with knowledge of data analysis and modeling techniques, is typically required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting results and presenting findings to stakeholders. These competencies are crucial for creating accurate models, troubleshooting complex problems, and making data-driven recommendations in various industries.

Can ChatGPT run Monte Carlo simulation?

ChatGPT cannot run Monte Carlo simulations directly, as it is a language model and lacks the capability to execute code or perform computational tasks. However, it can assist in designing, explaining, and providing code snippets for Monte Carlo simulations that can be run in programming environments like Python or R. Skills in programming, statistical analysis, and familiarity with simulation tools are essential for performing Monte Carlo simulations in a job setting.

What are the most commonly searched types of Monte Carlo Simulation jobs in California?

The most popular types of Monte Carlo Simulation jobs in California are:

What job categories do people searching Monte Carlo Simulation jobs in California look for?

The top searched job categories for Monte Carlo Simulation jobs in California are:

What cities in California are hiring for Monte Carlo Simulation jobs?

Cities in California with the most Monte Carlo Simulation job openings:

Infographic showing various Monte Carlo Simulation job openings in California as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $66,716 per year, or $32.1 per hour.

Lead Simulation Engineer

Venturi Astrolab, Inc.

Hawthorne, CA • On-site

$142 - $235/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Lead Simulation Engineer

Department: Software Engineering

Employment Type: Full Time

Location: Hawthorne, California

Reporting To: Denise Brown

Compensation: $142,000 - $235,000 / year

Description

Venturi Astrolab, Inc. (Astrolab) is pioneering new ways to explore and operate on distant planetary bodies. We are singularly focused on designing, building, and operating a fleet of multi-purpose commercial planetary rovers to extend and enhance humanity’s presence in the solar system. We are seeking motivated, creative, and exceptional people to join our world-class team.

The lead simulation engineer will be responsible for directing the technical work of the simulation team, including development of the simulation infrastructure, vehicle models, and integration of the simulation with vehicle software and automated integrated test tools. The lead simulation engineer will support long-term strategic planning of simulation scope and capabilities with the larger software team and manage the short term tactical priorities. This position is a technical leadership position with an expectation that the lead will also be doing hands on work as part of the simulation team, especially in the realm of integration with other tools and simulation performance improvements.

What you’ll do:
  • 10+ years architecting and building real time and faster than real time simulations of complex systems such as spacecraft, aircraft, automobiles or similar systems. Experience must include developing individual models, modeling vehicle dynamics and vehicle operating environment, and developing simulation infrastructure
  • 3 or more years of leading a simulation team, including planning work scope and milestones and managing a small team to meet those milestones
  • Experience integrating a simulation with vehicle software that runs in a separate environment (e.g. spacecraft vehicle simulation integrated with vehicle flight software running on a flight computer or automobile simulation integrated with on-board vehicle software running in a container)
  • Significant experience with simulation and model verification and validation
  • Significant experience with vehicle dynamics modeling, both rigid bodies and flexible bodies and a solid understanding of numerical integration of dynamical systems
  • Significant experience modeling real-world sensors and effectors/actuators, including error sources
  • Experience with fault injection in a simulation environment
  • Strong C++ and Python software programming skills
What you’ll bring:
  • Experience simulating extra-terrestrial rovers
  • Experience modeling suspension systems
  • Experience with terramechanics modeling and with tuning terramechanics models given fidelity needs vs. simulation performance requirements
  • Experience working with standard spaceflight models relevant to extra-terrestrial rovers, such as GRGM1200A lunar gravity model, GMM-3 Mars gravity model, Mars GRAM, and similar
  • Significant experience instrumenting, analyzing, and improving simulation performance to ensure real time frames are not overrun or speed up Monte Carlo analysis
  • Experience setting up simulations to support Monte Carlo or similar statistical performance analysis
Benefits and Perks
  • Join a team of best-in-class engineers building the foundation of planetary surface exploration
  • Equity ownership in the company
  • Comprehensive health benefits, including medical, dental, vision, and mental health support
  • 401(k) plan with company match
  • Flexible PTO and parental leave
  • Home office set up reimbursement
  • Weekly lunch stipend, plus complimentary snacks and beverages on-site
  • Once a month social hour on-site with food and drinks
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