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Simulation Engineer Jobs in West Virginia (NOW HIRING)

Proficiency with simulation tools and power system modeling software * Strong technical writing and ... Engineer-In-Training certification; interest in obtaining Professional Engineer (P.E.) license

... simulations. Responsibilities : • Responsible for utilizing documentation and experience to ... engineering principles, theories, concepts, and heritage applicable to the mission. • Responsible ...

$99K - $129K/yr

D Engineering and Consulting team. In this role, you'll independently lead complex modeling ... Experience with advanced simulation tools and power system software platforms Why Join RMS Energy ...

Develop new cost tools, digital models, and virtual production simulations to improve cost ... Bachelor's degree in engineering, finance, or related field * 5-10 year track record of success in ...

Perform various Systems / Software Engineering activities in GN&C and other fields on NASA ... In addition, independent testing is performed using in-house developed software simulations. The ...

Showing results 21-40

Simulation Engineer information

See West Virginia salary details

$30.2K

$95.5K

$147.5K

How much do simulation engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for simulation engineer in West Virginia is $95,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $113,400.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Are simulation engineers in demand?

Simulation engineers are in demand across industries such as aerospace, automotive, and defense, as companies increasingly rely on simulation tools like MATLAB, Simulink, and ANSYS for product development and testing. The role requires strong technical skills, knowledge of modeling and analysis, and often a background in engineering or computer science. Job growth is driven by technological advancements and the need for cost-effective, efficient testing methods.

What are the most commonly searched types of Simulation Engineer jobs in West Virginia?

The most popular types of Simulation Engineer jobs in West Virginia are:

What are popular job titles related to Simulation Engineer jobs in West Virginia?

For Simulation Engineer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Simulation Engineer jobs in West Virginia look for?

The top searched job categories for Simulation Engineer jobs in West Virginia are:

What are popular job titles related to Simulation Engineer jobs in WV?

For Simulation Engineer jobs in WV, the most frequently searched job titles are:

Infographic showing various Simulation Engineer job openings in West Virginia as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $95,532 per year, or $45.9 per hour.

Principal Engineer, State Estimation (R4602)

Shield AI

Charleston, WV

$270K - $400K/yr

Full-time

Re-posted 18 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 looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.
What you'll do:
Navigation System Architecture & Design:
  • Establish navigation performance requirements and error budgets for safety-critical applications 
  • Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components 
  • Design detailed software architecture for state estimation implementations, including module interfaces and data flow 
Algorithm Development & Implementation:
  • Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches 
  • Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms 
  • Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments 
  • Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems 
  • Implement integrity monitoring and protection level calculations for safety-critical operations 
Certification & Verification:
  • Develop verification and validation test plans for navigation algorithms 
  • onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation 
  • Document navigation system design, requirements allocation, and compliance evidence 
  • Support safety assessment activities including failure modes and effects analysis 
Technical Leadership:
  • Provide technical guidance on navigation architecture and state estimation approaches 
  • Support trade studies evaluating navigation sensor suites and fusion strategies 
  • Mentor junior engineers on state estimation theory and implementation 
Required qualifications:
  • MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field 
    15+ years of experience developing state estimation algorithms for aerospace navigation applications 
  • Demonstrated experience implementing GNSS/INS integration solutions 
  • Experience with safety-critical system development and certification processes 
  • Deep understanding of state estimation theory 
  • Experience implementing multi-sensor fusion algorithms in production systems 
  • Strong background in inertial navigation, GNSS positioning, and sensor error modeling 
  • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis 
  • Understanding of integrity monitoring, protection levels, and safety assessment methods 
  • Experience with requirements management and verification/validation processes for certifiable systems 
  • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics 
  • Knowledge of IMU error models, calibration, and Allan variance analysis 
  • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.) 
  • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)
  • Must be eligible to obtain a clearance
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • PhD in relevant field with focus on state estimation or navigation 
  • Direct involvement in certified navigation system development from requirements through flight test 
  • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.) 
  • Publications or patents in navigation or state estimation 
  • Experience with GPS/GNSS jamming and spoofing mitigation techniques 
#LI-SM1
#LF

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.