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Internship Modeling Simulation Engineer Jobs in Frisco, TX

Zone 5 Technologies

RF Engineer IV/V/VI

Fort Worth, TX · On-site

$141K - $171K/yr

The RF Engineer leads the design, analysis, and integration of RF and antenna systems across Zone 5 ... Design, model, simulate, and integrate RF and antenna systems across multiple frequency bands and ...

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Internship Modeling Simulation Engineer information

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How much do internship modeling simulation engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship modeling simulation engineer in Frisco, TX is $18.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship modeling simulation engineer?

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 popular job titles related to Internship Modeling Simulation Engineer jobs in Frisco, TX?

For Internship Modeling Simulation Engineer jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Internship Modeling Simulation Engineer jobs in Frisco, TX look for?

The top searched job categories for Internship Modeling Simulation Engineer jobs in Frisco, TX are:

Internship Modeling Simulation Engineer jobs near you
Infographic showing various Internship Modeling Simulation Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 73% Full Time, 12% Part Time, and 15% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $37,601 per year, or $18.1 per hour.

Senior Staff Engineer, Operations Analysis (R4759)

Shield AI

Dallas, TX • On-site

$180K - $270K/yr

Full-time

Re-posted 3 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:
We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI's aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes. 

This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments. 
What you'll do:
  • Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
  • Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
  • Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
  • Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
  • Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
  • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
  • Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
  • Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
  • Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
  • Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders. 
  • Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
  • Be a force multiplier by coaching and developing incoming talent.
Required qualifications:
  • Bachelor's degree in science, technology, engineering or math domain.
  • 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
  • Active Secret at a minimum.  Preferred Top-Secret clearance (or ability to obtain one).
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
    • Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability.
  • Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
    • Experience leading a product effort from pre-shaping to tactical deployment
  • Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)
    •  Experience developing technical expertise in a team to execute analyses for system design and analysis.
$180,000 - $270,000 a year
#LI-AD6
#LE

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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