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Modeling And Simulation Jobs in West Virginia (NOW HIRING)

CSAA

Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid). * Translate business or operational problems into robust simulation ...

RMS Energy

Provide updates to management on progress, concerns, and workload capacity The Experience We're Looking For: * 0-3 years of experience in power systems modeling or simulation * Proficient in ...

RMS Energy

Provide updates to management on progress, concerns, and workload capacity The Experience We're Looking For: * 0-3 years of experience in power systems modeling or simulation * Proficient in ...

RMS Energy

Proficiency with simulation tools and power system modeling software * Strong technical writing and presentation skills in English using Microsoft Word, Excel, and PowerPoint * Ability to problem ...

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All JobsModeling And Simulation JobsModeling And Simulation Jobs in West Virginia

Modeling And Simulation information

See West Virginia salary details

$30.2K

$78.4K

$111.5K

How much do modeling and simulation jobs pay per year?

As of Jul 28, 2026, the average yearly pay for modeling and simulation in West Virginia is $78,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $100,300.00 per year, depending on experience, location, and employer.

What jobs use simulation training?

Modeling and Simulation jobs are common in fields such as aerospace, defense, healthcare, and manufacturing, where professionals use simulation software and tools to train, test, or analyze systems. These roles often require skills in programming, data analysis, and understanding complex systems, with certifications in simulation software or related fields enhancing employability.

How to get into 3D modeling as a career?

To pursue a career in 3D modeling, develop skills in software such as Blender, Maya, or 3ds Max through online courses or formal education. Building a strong portfolio showcasing your work and gaining experience through internships or freelance projects are essential steps to enter the field.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in Modeling and Simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership or managerial responsibilities.

Are simulation engineers in demand?

Simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in modeling complex systems and using tools like MATLAB and Simulink. The growing reliance on digital twins, virtual testing, and advanced modeling techniques has increased employment opportunities for these professionals.

What are modeling and simulation jobs?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.
What are popular job titles related to Modeling And Simulation jobs in West Virginia? For Modeling And Simulation jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation jobs in West Virginia look for? The top searched job categories for Modeling And Simulation jobs in West Virginia are:
Modeling And Simulation jobs near you
Infographic showing various Modeling And Simulation job openings in West Virginia as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $78,389 per year, or $37.7 per hour.
Senior Staff Engineer, Operations Analysis (R4759)

Senior Staff Engineer, Operations Analysis (R4759)

Shield AI

Charleston, WV

$180K - $270K/yr

Full-time

Posted 15 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:
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.
#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.