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Modeling Simulation Jobs in Texas (NOW HIRING)

InfoVision, Inc.

Simulation Engineer

Irving, TX

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to ...

InfoVision, Inc.

Simulation engineer

Irving, TX

Experience * 5+ years experience in designing and developing enterprise level digital twin modeling, simulation, optimization solutions * 3+ years with System dynamics, Discrete events and Agent ...

InfoVision, Inc.

Simulation Engineer

Irving, TX

Experience · 5+ years experience in designing and developing enterprise level digital twin modeling, simulation, optimization solutions · 3+ years with System dynamics, Discrete events and Agent ...

Lockheed Martin Corporation

Modeling & Simulation Engineer tasks include: Design and documentation of model and simulation requirements and architecture Develop, verify, and validate both complex models and simulations such as ...

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All JobsModeling Simulation JobsModeling Simulation Jobs in Texas

Modeling Simulation information

See Texas salary details

$36.3K

$94.3K

$134.2K

How much do modeling simulation jobs pay per year?

As of Jun 20, 2026, the average yearly pay for modeling simulation in Texas is $94,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $120,600.00 per year, depending on experience, location, and employer.

What is modeling and simulation in a professional context?

Modeling and simulation is the process of creating and using digital models to represent real-world systems, processes, or phenomena in order to analyze and predict their behavior. Professionals in this field use specialized software and mathematical techniques to simulate scenarios, test hypotheses, and optimize performance without the risk or expense of real-world experimentation. This approach is widely used in industries such as engineering, defense, healthcare, and manufacturing to improve decision-making, training, and system design.

What is the difference between Modeling Simulation vs Mechanical Engineer?

AspectModeling SimulationMechanical Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's or higher in mechanical engineering; often professional engineering license
Work EnvironmentSoftware development, research labs, engineering firmsManufacturing plants, design offices, R&D departments
Industry UsageDesign validation, system analysis, virtual prototypingProduct design, testing, manufacturing processes
Common Search/ComparisonModeling Simulation vs Mechanical Engineer

Modeling Simulation specialists focus on creating virtual models and running simulations to analyze system behaviors, often requiring programming skills and software expertise. Mechanical Engineers design, develop, and test physical products and systems, utilizing their engineering knowledge in practical applications. While both roles overlap in engineering principles, Modeling Simulation emphasizes virtual analysis, whereas Mechanical Engineering centers on physical product development.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical skills, a solid foundation in mathematics and statistics, and typically a degree in engineering, computer science, or a related field. Familiarity with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valuable. Critical thinking, problem-solving, and effective communication are soft skills that help professionals interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate model development, insightful analysis, and successful application of simulations to real-world problems.

How do professionals in Modeling Simulation typically collaborate with cross-functional teams during a project?

Modeling Simulation professionals often work closely with engineers, software developers, analysts, and project managers to develop accurate models and simulations for various applications. Collaboration usually involves gathering requirements, integrating domain expertise, validating simulation results, and refining models based on feedback. Regular meetings and iterative development cycles are common, helping ensure that models align with project goals and stakeholder needs. This interdisciplinary approach is essential for delivering robust solutions and often leads to valuable learning and career growth opportunities.
What are popular job titles related to Modeling Simulation jobs in Texas? For Modeling Simulation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation jobs in Texas look for? The top searched job categories for Modeling Simulation jobs in Texas are:
What cities in Texas are hiring for Modeling Simulation jobs? Cities in Texas with the most Modeling Simulation job openings:
Modeling Simulation jobs near you
Staff Engineer, Modeling & Simulation (R4869)

Staff Engineer, Modeling & Simulation (R4869)

Shield AI

Dallas, TX • On-site

$150K - $220K/yr

Full-time

Posted 27 days ago

Job description

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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:

The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline-deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly-safely, reliably, and fast.

As a Staff Modeling & Simulation Engineer, you will be dedicated to Shield AI's next-generation aircraft program, contributing to our emergent modeling & simulation tooling. You'll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables robust automated testing for our next generation XBAT product line, and conduct system performance analysis.

What you'll do:
  • Develop models and infrastructure for the integrated simulation pipeline in C++.
  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
  • Implement test scenarios and write unit, system, and regression tests.
  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
  • Contribute to platform-agnostic simulation tooling to accelerate current and future aircraft design and development efforts.
  • Perform verification and validation (V&V) analysis activities on modeling tools.
  • Conduct system performance analysis and generate reports and visualizations.
  • Utilize best practices in C++, simulation architecture, and performance engineering.
Required qualifications:
  • BS or MS in Computer Science, Aerospace, Robotics, or related field.
  • 7+ years of experience in simulation software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
  • Strong understanding of rigid-body dynamics, kinematics, aerodynamics, and sensor mechanics.
  • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or autonomous systems.
  • Ability to debug complex build and runtime environments (CMake, package management, logging, and profiling tools).
  • Experience with software testing tools (GTest, etc.)
  • Experience with simulation V&V.
  • Strong collaboration and communication skills across software, hardware, and systems disciplines.
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.
  • Familiarity with aircraft and flight physics modeling.
$150,000 - $220,000 a year
#LI-SM1
#LD

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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