ZipRecruiter

Log In

1

Temp Monte Carlo Simulation Jobs (NOW HIRING)

CYNET SYSTEMS

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 ...

Ltd Global

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 ...

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 ...

previous pagenext page

Showing results 21-40

All Jobstmp JobsTemp Monte Carlo Simulation Jobs

Temp Monte Carlo Simulation information

See salary details

$11K

$67.6K

$121.5K

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

As of Sep 7, 2026, the average yearly pay for temp 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 Temp Monte Carlo Simulation vs Temp Data Analyst?

AspectTemp Monte Carlo SimulationTemp Data Analyst
Required CredentialsKnowledge of probability, statistics, and simulation softwareProficiency in data analysis, Excel, SQL, and statistical tools
Work EnvironmentProject-based, often in finance, engineering, or risk managementOffice setting, analyzing datasets across various industries
Employer & Industry UsageUsed in finance, engineering, and risk assessment firmsCommon in finance, marketing, healthcare, and tech companies

Temp Monte Carlo Simulation focuses on modeling uncertainty and risk analysis using simulation techniques, while Temp Data Analyst interprets data to inform business decisions. Both roles require analytical skills but differ in tools and application areas.

Are Temp Monte Carlo simulations still used?

Temp Monte Carlo simulations are still used in various industries for risk analysis, financial modeling, and decision-making processes. They rely on statistical sampling and computational tools, often requiring proficiency in software like MATLAB or Python. Despite advances in alternative methods, Monte Carlo simulations remain a valuable technique for complex probabilistic assessments.

Can ChatGPT run a Temp Monte Carlo Simulation?

Temp Monte Carlo Simulation is a job role that involves designing and executing simulations to model uncertainty and risk analysis. ChatGPT cannot run simulations directly but can assist with understanding concepts, generating code, or providing guidance on tools like Python or R used in such simulations. Actual execution requires specialized software and computational resources.
More about Temp Monte Carlo Simulation jobs

What cities are hiring for Temp Monte Carlo Simulation jobs?

Cities with the most Temp 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 Temp Monte Carlo Simulation jobs?

States with the most job openings for Temp Monte Carlo Simulation jobs include:

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

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

Temp Monte Carlo Simulation jobs near you
Infographic showing various Temp Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Modeling & Simulation Engineer, Radars

CHAOS Industries

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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