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Modeling And Simulation Engineer Jobs in Texas (NOW HIRING)

Apptronik

Simulation Engineer

Austin, TX · On-site

Maintain canonical robot models and the validation tooling that protects them from regressions across releases. * Improve developer experience on the simulation platform through examples, onboarding ...

Apple

IC Packaging Simulation Engineer

Austin, TX · On-site

We are looking for a self-motivated Packaging Simulation Engineer who is proficient in FEM ... model-generation user interfaces. Minimum Qualifications BS and a minimum of 10 years relevant ...

ICON

Robotics Simulation Engineer II

Austin, TX

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... You will be responsible for developing physics-accurate models of ICON's robotic platforms ...

Apple

IC Packaging Simulation Engineer

Austin, TX · On-site

We are looking for a self-motivated Packaging Simulation Engineer who is proficient in FEM ... automated model-generation user interfaces. Minimum Qualifications Minimum requirement of a ...

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All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Texas

Modeling And Simulation Engineer information

See Texas salary details

$36.3K

$115K

$177.5K

How much do modeling and simulation engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for modeling and simulation engineer in Texas is $114,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What are Modeling and Simulation Engineers?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What engineers make $300,000 a year?

Senior Modeling and Simulation Engineers with extensive experience, advanced skills in programming, and often working in aerospace, defense, or high-tech industries can earn $300,000 or more annually. These roles typically require advanced degrees, specialized certifications, and leadership responsibilities, often involving complex systems modeling and simulation tools.

What are some common challenges a Modeling and Simulation Engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Engineer, and why are they important?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

Is ml engineer a high paying job?

Machine Learning (ML) engineers typically earn high salaries due to their specialized skills in algorithms, data modeling, and programming languages like Python and TensorFlow. Salaries vary by experience, location, and industry, but they are generally above average compared to many other tech roles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What does a modelling and simulation engineer do?

A modeling and simulation engineer develops digital models and simulations to analyze and predict the behavior of systems or processes. They use specialized software, such as MATLAB or Simulink, and often work in engineering, aerospace, defense, or manufacturing environments to support design, testing, and decision-making.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.
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What job categories do people searching Modeling And Simulation Engineer jobs in Texas look for? The top searched job categories for Modeling And Simulation Engineer jobs in Texas are:
What cities in Texas are hiring for Modeling And Simulation Engineer jobs? Cities in Texas with the most Modeling And Simulation Engineer job openings:
Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,966 per year, or $55.3 per hour.

Model-Based Analytics / Simulation Engineer - AGS 0527 SS#

NavitasPartners

Dallas, TX • On-site

$40/hr

Other

Posted 4 days ago

Job description

Job Title: Model-Based Analytics / Simulation Engineer

Location: Multiple locations across United States
Job Type: Full-Time / Contract

Note: We are looking for candidates who are eligible for Top Secret Clearance

Position Overview

We are seeking a highly specialized Model-Based Analytics / Simulation Engineer to support advanced modelling, simulation, and predictive analytics initiatives.

This role focuses on developing digital models and simulations to analyze system performance, predict outcomes, and optimize lifecycle and operational effectiveness.

Key Responsibilities

  • Develop and maintain modelling & simulation (M&S) frameworks
  • Build and support digital twin models for complex systems
  • Perform predictive modelling for sustainment and reliability
  • Conduct Monte Carlo simulations and mission reliability analysis
  • Analyze system behaviour under varying conditions and scenarios
  • Collaborate with engineering, analytics, and operations teams
  • Translate simulation results into actionable insights
  • Support lifecycle optimization and performance improvement initiatives

Required Skills & Experience

  • Strong experience with:
    • MATLAB
    • Simulink
    • Python
  • Background in Operations Research or applied mathematics
  • Expertise in statistical modelling and simulation techniques
  • Experience with predictive analytics and system modelling
  • Ability to work with complex, multi-variable systems

Preferred / Nice-to-Have

  • Experience with digital twin technologies
  • Exposure to mission reliability and lifecycle modelling
  • Knowledge of advanced simulation techniques
  • Background in aerospace, defence, or other highly regulated industries
  • Familiarity with high-performance computing environments

Work Environment

  • Highly technical, research-oriented role
  • Collaboration with SMEs and engineering teams
  • Work on complex, mission-critical systems

Summary

This role is ideal for a subject matter expert in modelling and simulation who enjoys solving complex problems and driving insights through advanced analytical techniques.

For more details reach at shubham.sharma@navitassols.com.

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