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Simulation Engineer Jobs in Dallas, TX (NOW HIRING)

Raytheon

Senior Simulation Engineer Onsite

Dallas, TX · On-site

$103K - $142K/yr

Experience with campaign analysis simulation tools * Experience applying the physics of magnetism in a practical, research, engineering, or laboratory setting. Learn More and Apply Now! * ​Onsite:

10059

Director Simulation Center Ops

Dallas, TX · On-site

JOB SUMMARY The Director, Simulation Center Operations, reporting to the Assistant Vice President ... engineering and innovations lab. BENEFITS UT Southwestern is proud to offer a competitive and ...

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Showing results 21-40

All JobsSimulation Engineer JobsSimulation Engineer Jobs in Dallas, TX

Simulation Engineer information

See Dallas, TX salary details

$38.6K

$122.2K

$188.6K

How much do simulation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for simulation engineer in Dallas, TX is $122,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a simulation engineer?

A simulation engineer works on complex engineering projects to create simulations for testing the performance of proposed solutions. In this career, your job duties include developing simulation approaches for testing the project, monitoring the simulation in the test environment, and analyzing the results of the test. The qualifications needed for a career as a simulation engineer include a bachelor's degree in engineering. However, some employers prefer a master's degree. You also need strong analytical skills and experience working with experimental projects.

What are the key skills and qualifications needed to thrive as a simulation engineer, and why are they important?

To thrive as a Simulation Engineer, you need a solid background in engineering principles, mathematics, and computer science, typically supported by a relevant degree. Proficiency in simulation software such as MATLAB, Simulink, ANSYS, or similar tools, along with knowledge of programming languages like Python or C++, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for accurately modeling complex systems, optimizing designs, and ensuring project success.

How does a simulation engineer typically collaborate with cross-functional teams during a project?

Simulation Engineers frequently work alongside design, testing, and manufacturing teams to ensure that virtual models accurately reflect real-world scenarios. They collaborate closely during the early stages to interpret project requirements and share simulation results to guide design decisions. Regular meetings and iterative feedback loops are common, helping to integrate simulation insights throughout the product development lifecycle. This collaborative environment not only enhances the quality of final products but also provides Simulation Engineers with exposure to diverse technical perspectives.

What is the difference between Simulation Engineer vs Mechanical Design Engineer?

AspectSimulation EngineerMechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical, Aerospace, or related fields; proficiency in simulation softwareBachelor's or Master's in Mechanical Engineering; CAD software skills
Work EnvironmentDesign labs, simulation centers, R&D departmentsDesign offices, manufacturing facilities, prototyping labs
Industry UsageAutomotive, aerospace, electronics, manufacturingAutomotive, consumer products, machinery, aerospace
Common Search/ComparisonSimulation Engineer vs Mechanical Design Engineer

The main difference between a Simulation Engineer and a Mechanical Design Engineer lies in their focus areas. Simulation Engineers specialize in creating and analyzing virtual models to predict product performance, while Mechanical Design Engineers focus on designing and developing physical components and systems. Both roles often collaborate but serve distinct functions within engineering projects.

Are simulation engineers in demand?

Simulation engineers are in demand across industries such as aerospace, automotive, and defense, as companies increasingly rely on simulation tools like MATLAB, Simulink, and ANSYS for product development and testing. The role requires strong technical skills, knowledge of modeling and analysis, and often a background in engineering or computer science. Job growth is driven by technological advancements and the need for cost-effective, efficient testing methods.
More about Simulation Engineer jobs

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Simulation Engineer jobs near you
Infographic showing various Simulation Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,163 per year, or $58.7 per hour.

Staff Engineer, Modeling & Simulation (R4869)

Shield AI

Dallas, TX

$150K - $250K/yr

Full-time, Part-time

Re-posted 23 days ago

Key responsibilities

  • 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.

  • Collaborate across engineering disciplines to ensure the simulation mirrors real aircraft behavior and mission scenarios.

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:
The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation—from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly—safely, reliably, and fast.
As a Staff Modeling & Simulation Engineer, you will be a pivotal force in engineering Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains—ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and simulation platforms are both stable and fast. 
What you'll do:
  • Develop infrastructure and models in C++ for autonomous aircraft simulation.
  • Serve as a subject matter expert in modern aerospace and software engineering.
  • Architect deterministic, high-performance simulation software.
  • Lead verification and validation (V&V) analysis studies on models and model tooling.
  • Collaborate tightly across autonomy, embedded, GNC, and test engineering teams to ensure our simulation mirrors real aircraft behavior and mission scenarios.
  • Contribute to platform-agnostic simulation tooling to accelerate future development efforts.
  • Train and guide junior engineers in modeling and simulation best practices.
Required qualifications:
  • BS in Computer Science, Aerospace, Robotics, or related field.
  • 7+ years of experience in simulation software development with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered.
  • Strong understanding of rigid-body dynamics, kinematics, and the physics of dynamic systems.
  • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or other complex dynamic systems (e.g., maritime, space, defense ground systems, or gaming).
  • Ability to debug complex build and runtime environments.
  • Experience with simulation verification and validation.
  • Strong communication skills across software, hardware, and systems disciplines.
  • Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship.
Preferred qualifications:
  • MS or PhD in Computer Science, Aerospace, Robotics, or related field.
  • Familiarity with modern C++ standards (C++20 or later).
  • 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 testing environments.
  • Experience with Hardware- and Software-in-the-Loop simulation environments, including integration of real hardware into simulation environments.
  • Experience with CMake, package management tools (e.g. Conan, Nix), and profiling tools.
  • Experience with software testing tools (GTest, etc.)
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.
  • Experience working on autonomous aircraft systems.
  • Active Secret or Top Secret Clearance is desired.
#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.