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Simulation Jobs in Dallas, TX (NOW HIRING)

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Simulation information

See Dallas, TX salary details

$10.9K

$66.9K

$120.2K

How much do simulation jobs pay per year?

As of Jul 14, 2026, the average yearly pay for simulation in Dallas, TX is $66,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $78,600.00 per year, depending on experience, location, and employer.

What is the difference between Simulation vs CAD Designer?

AspectSimulationCAD Designer
Required CredentialsEngineering degrees, certifications in simulation softwareEngineering or design degrees, CAD software certifications
Work EnvironmentEngineering firms, manufacturing, aerospaceDesign studios, manufacturing, product development
Industry UsageTesting and analyzing product performanceCreating detailed product models and drawings

Simulation specialists focus on testing and analyzing how products perform under various conditions using simulation software. CAD Designers create detailed 3D models and drawings for manufacturing and design purposes. While both roles require engineering knowledge and software skills, Simulation emphasizes analysis and testing, whereas CAD Design centers on creating precise models for production.

What is a simulation job?

A simulation job involves creating, analyzing, or operating computer-based models that replicate real-world systems or processes. These roles often require skills in programming, data analysis, and understanding of the specific industry, such as engineering, healthcare, or aerospace. Simulation professionals use specialized software to test scenarios, improve designs, or train personnel.

What careers use simulation?

Simulation is used in various careers such as aerospace engineering, healthcare, military training, automotive design, and software development. Professionals in these fields use simulation tools and software to model real-world systems, test scenarios, and improve processes, often requiring skills in programming, modeling, and analysis.

What are some common challenges faced by simulation professionals when working on complex projects?

Simulation professionals often encounter challenges such as integrating diverse data sources, ensuring model accuracy, and effectively communicating technical results to non-technical stakeholders. Working on complex projects usually involves collaborating with multidisciplinary teams, managing tight deadlines, and adapting models as project requirements evolve. Developing strong problem-solving skills and maintaining clear communication with team members and clients are essential for overcoming these challenges and delivering successful simulation outcomes.

What is a simulation specialist?

A simulation specialist is a professional who designs, develops, and manages simulated environments for training, research, or analysis purposes. They often work in industries such as healthcare, aviation, engineering, or the military to create realistic scenarios that help people practice skills or test systems without real-world risks. Simulation specialists use advanced technology and software to create these interactive models, ensuring they accurately replicate real-life situations.

What is the average salary for a simulation engineer?

The average salary for a simulation engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in modeling software and programming languages like MATLAB or C++ tend to earn higher salaries. Certifications and working in specialized sectors such as aerospace or automotive can also influence compensation.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1 million annually, often including bonuses and stock options. Successful entrepreneurs, hedge fund managers, and top-tier investment bankers may also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.

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

To thrive as a Simulation Specialist, you typically need a background in engineering, computer science, or a related field, along with strong analytical and problem-solving skills. Expertise in simulation software such as MATLAB, Simulink, or ANSYS, and familiarity with programming languages like Python or C++, are commonly required. Attention to detail, effective communication, and teamwork are essential soft skills for collaborating with cross-functional teams and conveying complex results. These skills and qualifications are crucial for building accurate models, troubleshooting issues, and delivering reliable simulations that inform decision-making.
What are the most commonly searched types of Simulation jobs in Dallas, TX? The most popular types of Simulation jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Simulation jobs? Cities near Dallas, TX with the most Simulation job openings:
Simulation jobs near you
Manager, Simulation Engineering (R4870)

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX

$160K - $240K/yr

Full-time

Re-posted 21 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:
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.
 
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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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