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Monte Carlo Simulation Jobs in Texas (NOW HIRING)

Planview Incorporated

Sr. Data Scientist

Austin, TX · Hybrid

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

Planview Incorporated

Data Scientist

Austin, TX · Hybrid

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

Planview Incorporated

Sr. Data Scientist

Austin, TX · On-site

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

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Monte Carlo Simulation information

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$10.2K

$63K

$113.2K

How much do monte carlo simulation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for monte carlo simulation in Texas is $62,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $74,100.00 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 Texas?

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

What are popular job titles related to Monte Carlo Simulation jobs in Texas?

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

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

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

Monte Carlo Simulation jobs near you
Infographic showing various Monte Carlo Simulation job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $62,981 per year, or $30.3 per hour.

Senior Engineer, Flight Controls - X-BAT (Hiring At Multiple Levels)

Shield AI

Dallas, TX • On-site

$220K - $340K/yr

Full-time

Re-posted 26 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
In this role, you will own the flight control system for XBAT, with responsibility for delivering stable, predictable, and operationally robust performance across all phases of flight, including vertical takeoff, hover, transition out-bound, wing-borne flight, transition in-bound, and precision recovery.
What you'll do:
  • Design and deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations.
  • Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre-flight performance predictions
  • Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation
  • Diagnose and resolve simulation-to-flight mismatches, including unidentified dynamics and modeling gaps
  • Support flight test operations, making risk-informed decisions and driving rapid iteration between flights
  • Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real-world disturbances and uncertainties
  • Mentor and guide engineers while setting the technical standard for control system performance and rigor
Required qualifications:
  • 10+ years of experience in flight controls / GNC on real flight vehicles, with demonstrated ownership from design through flight test
  • Demonstrated experience with control allocation design and implementation for over-actuated systems with provisions for saturation and failure accommodation.
  • Strong background in:
    • Flight dynamics and 6DOF simulation
    • Control theory and nonlinear systems
  • Experience executing full V&V cycles, including pre-flight performance prediction, Monte Carlo analysis, flight readiness assessment, and post-flight analysis
  • Proficiency in C++, MATLAB/Simulink, and/or Python, with experience deploying real-time algorithms
  • Ability to obtain and maintain a U.S. security clearance
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • VTOL or transition aircraft experience where control blending and allocation were critical to success
  • Autonomous systems or missile/UAV GNC background
  • Experience with flight safety, airworthiness, and mission assurance
  • Familiarity with:
    • Sensor and air data systems
    • Fault-tolerant or adaptive control
    • CI/CD pipelines and modern DevSecOps practices
  • Experience with HIL or integrated simulation/test environments and Linux-based development workflows (Git, etc.)
  • Experience operating in rapid development environments with tight iteration loops between simulation and test
$220,000 - $340,000 a year
#LI-SM1
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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