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Systems Simulation Engineer Jobs in Texas (NOW HIRING)

... systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind ... Your simulation solutions will be a key development tool for other engineers and also a critical ...

... systems. Qualifications * Experience: 10+ years of engineering experience in complex ... simulation or analysis teams. * Technical Depth: Deep, hands-on subject matter expertise in at ...

... systems. Qualifications * Experience: 10+ years of engineering experience in complex ... simulation or analysis teams. * Technical Depth: Deep, hands-on subject matter expertise in at ...

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Systems Simulation Engineer information

See Texas salary details

$49.8K

$118.5K

$155.6K

How much do systems simulation engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for systems simulation engineer in Texas is $118,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $146,300.00 per year, depending on experience, location, and employer.

What is the difference between Systems Simulation Engineer vs Systems Analyst?

AspectSystems Simulation EngineerSystems Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science; knowledge of simulation toolsBachelor's in IT, Computer Science, or related; strong analytical skills
Work EnvironmentEngineering labs, simulation software environmentsOffice settings, client meetings, system analysis
Industry UsageAerospace, Defense, Automotive, ManufacturingIT, Business, Government agencies
Common Search/ComparisonYesYes

The Systems Simulation Engineer focuses on creating and analyzing models to predict system behavior, often in engineering contexts. In contrast, the Systems Analyst evaluates existing systems to improve efficiency and functionality. While both roles require analytical skills and technical knowledge, the Simulation Engineer emphasizes modeling and simulation, whereas the Analyst concentrates on system evaluation and requirements gathering.

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

To thrive as a Systems Simulation Engineer, you need a solid background in engineering, mathematics, and computer science, typically supported by a relevant degree. Experience with simulation tools like MATLAB/Simulink, ANSYS, or Modelica, as well as programming languages such as Python or C++, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These competencies ensure accurate modeling, efficient troubleshooting, and successful system optimization in complex engineering projects.

What are Systems Simulation Engineers?

Systems Simulation Engineers are professionals who use computer models and simulations to analyze, design, and optimize complex systems across industries like aerospace, automotive, and manufacturing. They develop virtual representations of systems to predict performance, identify issues, and test potential improvements without the need for costly physical prototypes. Their work helps organizations make informed decisions, improve efficiency, and reduce risks. These engineers collaborate with multidisciplinary teams and use specialized software to create accurate simulations of mechanical, electrical, or integrated systems.

What are some common challenges faced by Systems Simulation Engineers when integrating simulation models with real-world data?

Systems Simulation Engineers often encounter challenges when aligning simulation models with real-world data, such as ensuring model accuracy, managing data inconsistencies, and accounting for unforeseen system behaviors. Integrating diverse datasets from hardware, sensors, or software can require significant validation and calibration efforts. Collaborating closely with cross-functional teams, such as data analysts and hardware engineers, is crucial to resolve discrepancies and maintain the reliability of simulations. Staying adaptable and proactively communicating with stakeholders helps address these integration challenges effectively.
What job categories do people searching Systems Simulation Engineer jobs in Texas look for? The top searched job categories for Systems Simulation Engineer jobs in Texas are:
Staff Engineer, Modeling & Simulation (R4869)

Staff Engineer, Modeling & Simulation (R4869)

Shield AI

Dallas, TX โ€ข On-site

Full-time

Posted 25 days ago


Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. Withย offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AIโ€™s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.ย 

Job Description:

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

As a Staff Modeling & Simulation Engineer, you will be dedicated to Shield AIโ€™s next-generation aircraft program, contributing to our emergent modeling & simulation tooling. Youโ€™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.
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.
#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 toย 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.ย 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.