1

Internship Modeling Simulation Engineer Jobs in Texas

... digital twin modeling, simulation, optimization solutions · 3+ years with System dynamics ... Science, Engineering or other related field Skills · Experience in digital twin modeling ...

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

This role involves building and evaluating simulation models that contribute to the invention of ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

next page

Showing results 1-20

Internship Modeling Simulation Engineer information

What are the key skills and qualifications needed to thrive as an Internship Modeling Simulation Engineer, and why are they important?

To thrive as an Internship Modeling Simulation Engineer, you generally need a strong background in mathematics, physics, and engineering principles, along with progress toward a relevant STEM degree. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, and basic programming skills in languages like Python or C++, are typically required. Attention to detail, problem-solving abilities, and effective teamwork and communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, analyzing, and interpreting simulation models, which directly impact project success and innovation.

What types of projects do Internship Modeling Simulation Engineers typically work on, and how are tasks assigned within the team?

As an Internship Modeling Simulation Engineer, you will often be involved in projects that require developing, testing, and analyzing computational models for systems such as mechanical components, electronic circuits, or fluid dynamics. Tasks are usually assigned based on your academic background and the team's current priorities, allowing you to collaborate closely with senior engineers and other interns. You'll likely assist with running simulations, validating models against real-world data, and presenting findings to the team, providing a hands-on experience in both technical and collaborative work environments.

What is the difference between Internship Modeling Simulation Engineer vs Modeling Simulation Engineer?

AspectInternship Modeling Simulation EngineerModeling Simulation Engineer
CredentialsEnrolled in or recent graduate of relevant degree programsBachelor's or higher in engineering, physics, or related fields
Work EnvironmentInternship programs, entry-level projects, training-focusedFull-time professional roles, project-driven
Employer & Industry UsageInternship positions in aerospace, automotive, defense, etc.Established roles in similar industries
Search & Comparison IntentLearning about entry-level opportunities and trainingUnderstanding professional career paths and responsibilities

The main difference between an Internship Modeling Simulation Engineer and a Modeling Simulation Engineer is experience level and employment status. Internships are typically temporary, training-focused positions for students or recent graduates, while Modeling Simulation Engineers are full-time professionals responsible for developing and analyzing models in their industry. Interns gain foundational skills, whereas full engineers handle complex projects independently.

What does an Internship Modeling Simulation Engineer do?

An Internship Modeling Simulation Engineer assists in developing and analyzing computer models and simulations to predict how systems or products will perform in real-world scenarios. They work under the guidance of senior engineers, helping to design experiments, collect data, and validate simulation results. Typical tasks include using specialized software, troubleshooting issues, and presenting findings to the engineering team. This role provides hands-on experience with industry tools and techniques, making it ideal for students or recent graduates interested in engineering and simulation technologies.
What are the most commonly searched types of Modeling Simulation Engineer jobs in Texas? The most popular types of Modeling Simulation Engineer jobs in Texas are:
What are popular job titles related to Internship Modeling Simulation Engineer jobs in Texas? For Internship Modeling Simulation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship Modeling Simulation Engineer jobs in Texas look for? The top searched job categories for Internship Modeling Simulation Engineer jobs in Texas are:
What cities in Texas are hiring for Internship Modeling Simulation Engineer jobs? Cities in Texas with the most Internship Modeling Simulation Engineer job openings:
Infographic showing various Internship Modeling Simulation Engineer job openings in Texas as of June 2026, with employment types broken down into 3% Internship, 1% As Needed, 72% Full Time, 15% Part Time, 1% Temporary, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Simulation Engineer

Other

Posted 16 days ago


Job description

Experience  

· 5+ years experience in designing  and developing enterprise level digital twin modeling, simulation, optimization solutions

· 3+ years with System dynamics, Discrete events and Agent based modeling using tools such as Anylogic

· MS or BS  in Computer Science,Math, Physics, Information Science, Engineering or other related field

Skills

· Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc              

· Experience/ familiarity in building and engineering digital twins solutions with simulation technique

· Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques

· Experience in data driven approach to analyze problems and deliver robust, optimized solution

· Experience with various database technologies like RDBMS, Big Data Technologies

· Experience with Java, Python, C++

· Experience working with BI tools like Tableau, Looker, Qlik, etc..

· Experience in building, hosting applications in Google Cloud Platform kubernetes is a plus.

· Familiarity with IoT understanding from connectivity and data management perspective 

· Knowledge of architecting and managing end to end solutions and perform root cause analysis