ZipRecruiter

Log In

1

Monte Carlo Simulation Jobs in California (NOW HIRING)

LTD GLOBAL, LLC

Be Seen First

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 ...

LTD Global

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 ...

LTD Global

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 ...

Fuse

Nuclear Engineer

San Leandro, CA · On-site

$105K - $155K/yr

Develop and apply Monte Carlo simulations such as MCNP, Geant4, or FLUKA for particle transport, shielding, dose assessment, and detector performance. * Design and optimize radiation shielding for ...

Jobtailor

Shielding Analysis Engineer

Santa Clara, CA · On-site

$120 - $160/hr

... Monte Carlo simulations and high-performance computing. Capable of providing technical support for licensing and regulatory interactions while delivering well-documented analyses and reports. #J ...

next page

Showing results 1-20

All JobsMonte Carlo Simulation JobsMonte Carlo Simulation Jobs in California

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 Aug 23, 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 are popular job titles related to Monte Carlo Simulation jobs in California?

For Monte Carlo Simulation jobs in California, the most frequently searched job titles 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:

Monte Carlo Simulation jobs near you
Infographic showing various Monte Carlo Simulation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% 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.

Modeling & Simulation Engineer, Radars

CHAOS Industries

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.
About the Team:
The Modeling & Simulation team builds the simulation capabilities used to design, integrate, test, and validate advanced aerospace and defense systems. We develop physics-based models, simulation environments, and analysis tools that help engineering teams evaluate system behavior, improve designs, and reduce risk before hardware design, integration, test, and fielding.
About the Role:
As a Modeling & Simulation Engineer for Radars, you will develop, integrate, and validate models of radar and RF sensing systems. You will work across analytical, behavioral, measurement-level, signal/IQ-level, and closed-loop system models, selecting the fidelity appropriate to the design decision, software integration activity, test event, or verification objective. You will partner with radar architecture, RF and antenna, signal processing, tracking, embedded software, systems engineering, test, and product teams.
Experience in every area below is not expected; candidates with depth in one or more relevant modeling and simulation domains are encouraged to apply.
What You'll Do:
  • Develop, integrate, and maintain physics-based and performance-based models of radar and RF sensing systems.
  • Build models at appropriate levels of fidelity, including analytical radar-performance models, behavioral sensor models, measurement-generation models, signal or complex-IQ models, radar-mode models, tracker models, and closed-loop system simulations.
  • Model applicable radar effects such as antenna and beam patterns, beam steering, waveforms, RF-chain behavior, thermal noise, propagation loss, atmospheric effects, multipath, clutter, interference, jamming, target radar cross section, calibration errors, measurement biases, and uncertainty.
  • Develop or integrate applicable detection, thresholding, discrimination, measurement extraction, data-association, tracking, estimation, classification, sensor-fusion, radar-mode, and resource-management functions.
  • Build target, scene, geometry, trajectory, environmental, and threat models needed to evaluate radar performance in operationally relevant scenarios.
  • Perform design trades, sensitivity studies, Monte Carlo analysis, uncertainty quantification, and design of experiments.
  • Characterize performance using metrics such as signal-to-noise or signal-to-interference-plus-noise ratio, probability of detection, false-alarm performance, coverage, detection range, measurement accuracy, track accuracy, revisit rate, update rate, latency, track capacity, and robustness to environmental or threat effects.
  • Integrate radar algorithms, radar software, embedded software, sensor models, target models, and hardware interfaces into SIL, SITL, HITL, HWIL, real-time, or large-scale batch simulation environments as applicable.
  • Validate and correlate models against analytical references, laboratory and chamber measurements, calibration data, recorded signal or IQ data, radar-range data, field-test data, flight-test data, and other authoritative sources.
  • Define model requirements, interfaces, assumptions, limitations, validity domains, configuration controls, and acceptance or credibility criteria.
  • Develop and maintain simulation software, model APIs, scenario-generation tools, configuration systems, data pipelines, visualization tools, analysis workflows, and automated regression tests.
  • Support pre-test prediction, test planning, test-card or scenario development, test execution, anomaly investigation, and post-test analysis.
  • Produce clear model documentation, validation evidence, performance reports, engineering-review material, and customer or program deliverables.

Required Qualifications:
  • Signal- or complex-IQ-level radar simulation.
  • Radar detection, measurement generation, discrimination, or signal processing
  • Radar tracking, estimation, data association, or sensor fusion
  • Radar modes, resource management, or system-performance analysis
  • RF propagation, clutter, interference, electronic warfare, or electronic protection
  • Real-time radar stimulation, HITL, or HWIL.
  • Strong programming ability in at least one scientific or analytical environment such as MATLAB, Python, or C++.
  • Experience with Monte Carlo simulation, sensitivity analysis, statistical analysis, uncertainty modeling, or design of experiments.
  • Experience validating or correlating models against analytical results, laboratory measurements, recorded sensor data, range data, or field or flight-test data.
  • Experience analyzing large engineering data sets and communicating technically defensible conclusions.
  • Experience with Git, code review, automated testing, issue tracking, continuous integration, and reproducible software or analysis workflows.
  • Ability to work independently, make sound technical judgments, document assumptions and limitations clearly, and collaborate across engineering disciplines.
  • Active Secret clearance.

Preferred Qualifications:
  • Master's degree or higher in electrical engineering, computer engineering, physics, applied mathematics, or a related field.
  • Experience with AESA or phased-array radar, digital beamforming, electronically steered arrays, waveform design, adaptive processing, or cognitive radar.
  • Experience in one or more radar mission areas, such as airborne surveillance, air-to-air radar, fire-control radar, ground-based air defense, missile warning, space surveillance, seeker radar, SAR, ISAR, GMTI, maritime surveillance, or counter-UAS.
  • Experience with advanced detection, low-SNR processing, clutter suppression, Doppler processing, pulse compression, space-time adaptive processing, or electronic protection.
  • Experience with Kalman filtering, nonlinear estimation, multi-target tracking, multi-hypothesis tracking, probabilistic data association, track management, or multisensor fusion.
  • Experience modeling electronic attack, electronic support, interference, contested-spectrum environments, low-observable targets, or target-signature uncertainty.
  • Experience with antenna-pattern data, radar cross-section data, computational-electromagnetics outputs, or RF-system calibration data.
  • Experience with GPU acceleration, CUDA, HPC, deterministic real-time systems, FPGA or SDR interfaces, radar stimulators, or high-throughput batch execution.
  • Experience integrating embedded radar software or tactical software into closed-loop simulations.
  • Experience with requirements traceability, MBSE, model-based development, formal model V&V, or simulation-credibility assessments.
  • Experience with distributed simulation frameworks such as DIS, HLA, TENA, or similar technologies where relevant to the program.
  • Experience supporting DoD, intelligence-community, missile-defense, or advanced aerospace programs.
  • Experience building simulation APIs, scenario generation tools, configuration systems, data pipelines, analysis tooling, visualization workflows, or automated regression tests.
  • Experience with MBSE, requirements traceability, model-based development, model validation, simulation credibility, or verification evidence.
  • Experience supporting DoD, DARPA, AFRL, ONR, MDA, NAVAIR, DEVCOM, intelligence community, or advanced commercial technology programs.
  • Active or eligible to obtain and maintain a Top Secret / Sensitive Compartmented Information clearance.

Why CHAOS?
  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 250 employees and counting across 5 global offices

Salary Range: $140,000 - $190,000
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
#LI-onsite

Apply