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Systems Simulation Engineer Jobs in Texas (NOW HIRING)

Shield AI

Manager, Simulation Engineering (R4870)

Dallas, TX · On-site

$160K - $240K/yr

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

Shield AI

Manager, Simulation Engineering (R4870)

Dallas, TX · On-site

$160K - $240K/yr

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

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All JobsSystems Simulation Engineer JobsSystems Simulation Engineer Jobs in Texas

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 Sep 7, 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 a systems simulation engineer?

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 the key skills and qualifications needed to thrive as a systems simulation engineer?

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 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 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 popular job titles related to Systems Simulation Engineer jobs in Texas?

For Systems Simulation Engineer jobs in Texas, the most frequently searched job titles are:

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:

Systems Simulation Engineer jobs near you
Infographic showing various Systems Simulation Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $118,520 per year, or $57 per hour.

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX • On-site

$160K - $240K/yr

Full-time

Re-posted 16 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:
As the VBAT Simulation Lead, you will be responsible for improving and scaling our simulation capabilities for the V-BAT and future aircraft. You will design, resource, manage, build and integrate tooling across our various engineering teams (e.g. Aerodynamics, GNC, Propulsion, etc.) to enable efficient and scalable simulation workflows. Your simulation solutions will be a key development tool for other engineers and also a critical gate in our release process.
What you'll do:
  • Work with tech leads and stockholders to design, track, and report simulation roadmaps and release plans.
  • Align needs and priorities across many teams and disciplines
  • Hire and manage a team of specialized simulation engineers across multiple locations.
  • Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions
  • Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.
  • Stay updated with the latest advancements in simulation technologies and drive best practices across the team
  • Build and maintain documentation and dashboards to quickly provide data and status to leadership.

Required qualifications:
  • BS in Computer Science or related engineering field with 8+ years of professional experience.
  • 3+ years of experience leading engineering teams or projects.
  • Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
  • A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps
  • Strong foundation in C++ and software architecture
  • Foundational knowledge of statistics and its application in software development, testing, and data analysis.
  • Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.

Preferred qualifications:
  • Experience with Docker, Kubernetes, and/or containerized application development
  • Familiarity with rigid body dynamics (e.g. Euler's equations, quaternions), aerodynamics, propulsion systems, etc.
  • Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster)
  • Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks.

$160,000 - $240,000 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.
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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