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Simulation Engineer Jobs in Dallas, TX (NOW HIRING)

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Simulation Engineer information

See Dallas, TX salary details

$38.6K

$122.1K

$188.4K

How much do simulation engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for simulation engineer in Dallas, TX is $122,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $144,900.00 per year, depending on experience, location, and employer.

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 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.

What are Simulation Engineers?

Simulation Engineers are professionals who design, develop, and implement virtual models to mimic real-world processes, systems, or products. They use specialized software to analyze how these systems behave under various conditions, helping organizations optimize performance, identify potential issues, and reduce costs. Simulation Engineers often work in industries like automotive, aerospace, manufacturing, and healthcare to support decision-making and innovation through virtual testing. Their work is crucial for minimizing the risks and expenses associated with physical prototyping and experimentation.

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 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.

What are the most commonly searched types of Simulation Engineer jobs in Dallas, TX? The most popular types of Simulation Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Simulation Engineer jobs? Cities near Dallas, TX with the most Simulation Engineer job openings:
Infographic showing various Simulation Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,071 per year, or $58.7 per hour.
Manager, Simulation Engineering (R4870)

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX • On-site

$160K - $240K/yr

Full-time

Posted 17 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. With offices and facilities across the U.S., Europe, the Middle East, and the 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. 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.