ZipRecruiter

Log In

1

Simulation Manager Jobs in Raleigh, NC (NOW HIRING)

next page

Showing results 1-20

All JobsSimulation JobsSimulation Manager JobsSimulation Manager Jobs in Raleigh, NC

Simulation Manager information

See Raleigh, NC salary details

$10.7K

$65.7K

$118.1K

How much do simulation manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for simulation manager in Raleigh, NC is $65,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $77,300.00 per year, depending on experience, location, and employer.

What is a simulation manager?

Simulation Managers are professionals responsible for overseeing the planning, development, implementation, and evaluation of simulation-based training and educational programs. They often work in fields such as healthcare, aviation, or engineering, managing simulation labs, coordinating scenarios, and ensuring equipment and technology are maintained. Their duties include supervising staff, developing curricula, and ensuring that simulation activities meet organizational and accreditation standards. Simulation Managers play a key role in enhancing training outcomes by providing realistic and effective learning experiences.

How does a simulation manager typically collaborate with cross-functional teams in a project environment?

Simulation Managers often work closely with engineering, design, and project management teams to ensure that simulation models accurately reflect real-world scenarios. They facilitate regular meetings to gather requirements, validate data inputs, and communicate simulation results to stakeholders. Effective collaboration involves translating technical findings into actionable insights for non-technical team members, helping guide decision-making throughout the project lifecycle. This role requires strong communication skills and a proactive approach to ensure alignment across all involved departments.

What are the key skills and qualifications needed to thrive as a simulation manager, and why are they important?

To thrive as a Simulation Manager, you need expertise in simulation-based training, project management, and a relevant degree such as in healthcare, engineering, or education. Familiarity with simulation software (e.g., Laerdal, CAE), audiovisual systems, and potentially certifications like Certified Healthcare Simulation Educator (CHSE) is important. Strong leadership, problem-solving, and communication skills help in coordinating teams and delivering effective training experiences. These skills ensure the successful implementation and management of simulation programs that enhance learning outcomes and operational efficiency.

What are the most commonly searched types of Simulation jobs in Raleigh, NC?

The most popular types of Simulation jobs in Raleigh, NC are:

What are popular job titles related to Simulation Manager jobs in Raleigh, NC?

For Simulation Manager jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Simulation Manager jobs in Raleigh, NC look for?

The top searched job categories for Simulation Manager jobs in Raleigh, NC are:

Simulation Manager jobs near you
Infographic showing various Simulation Manager job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $65,714 per year, or $31.6 per hour.

Modeling and Simulation Manager

Durham, NC

Vulcan Elements
See more jobs at Vulcan Elementsexternal

Full-time

Re-posted 12 days ago

Key responsibilities

  • Build and manage a multidisciplinary modeling and simulations team with broad expertise across various modeling modalities.

  • Translate R&D priorities into a modeling agenda with clear deliverables, timelines, and success criteria.

  • Present results and recommendations to technical and executive stakeholders, communicating uncertainty and model limitations.

Job description

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency.

As the Modeling and Simulation Manager you will grow and lead a multidisciplinary team of computational scientists and engineers, driving physics-based and data-based modeling efforts that directly improve magnet performance, production yields, and process efficiency. 

This is a hands-on technical leadership role. You will both contribute directly to modeling work and grow a team with deep expertise across a variety of modeling and simulation modalities, including but not limited to mechanical, fluid dynamics, electronic structure, and mathematical and image analysis. Your group's output will shape process decisions, reduce experimental iteration cycles, and create quantitative links between structure, processing conditions, and final properties.  

This role will initially support pilot-scale and R&D activities (RTP, NC), with the potential to contribute to commercial plant operations (Benson, NC) in the next year.  

The ideal candidate has hands-on experience with one or more of COMSOL, Fluent, finite element analysis, thermodynamic modeling (FactSage, ThermoCalc), mathematical and image analyses, and density functional theorgy, as well as experience as a people leader.  

Responsibilities 

Build and manage a matrixed modeling and simulations team with broad expertise spanning Finite element analysis, Computational fluid dynamics, Stress/Strain analysis, thermodynamic modeling, mathematical/image analysis, and DFT; define hiring roadmap, team structure, and capability milestones. 

  • Translate R&D priorities into a modeling agenda with clear deliverables, timelines, and success criteria in partnership with process engineering, materials science, and production teams. 
  • Foster a culture of scientific rigor, reproducibility, and rapid iteration; establish standards for model validation, documentation, and peer review. 
  • Present results and recommendations to technical and executive stakeholders; communicate uncertainty and model limitations clearly. 

 Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business.

Qualifications 

  •  Ph.D. or M.S. in Materials Science, Chemical Engineering, Mechanical Engineering, Applied Physics, or a related quantitative field. 
  • 5+ years of hands-on experience with COMSOL, Fluent, or equivalent; demonstrated ability to build and validate coupled multiphysics models and finite element analysis (FEA). 
  • Strong mathematical modeling background; experience with image analysis, machine learning, statistical modeling, or signal processing applied to materials characterization data. 
  • Familiarity with rare earth magnets, NdFeB alloy systems, or related metallic/magnetic materials. 
  • Experience leading or mentoring a small technical team; ability to set priorities, provide technical guidance, and develop junior researchers. 
  • Proficiency in Python, MATLAB, Git, or equivalents for scripting, data analysis, and model post-processing. 
  • Strong written and verbal communication skills; able to produce clear technical reports and present complex results to non-specialist audiences. 

Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

Preferred Qualifications 

  • Direct experience with DFT codes (VASP, Quantum ESPRESSO, or similar) or demonstrated ability to direct and interpret DFT studies. 
  • Background in rare earth processing, hydrometallurgy, or magnet manufacturing. 
  • Experience with grain boundary diffusion processes or sintering simulation. 
  • Familiarity with thermodynamic modeling and databases such as FactSage, or ThermoCalc 
  • Knowledge of machine learning principles for data analysis 
  • Familiarity with electron microscopy image analysis (SEM/EDS/EBSD) and quantitative microstructural characterization. 
  • Publication record in computational materials science, process simulation, or permanent magnets. 
  • Experience managing budgets, external collaborators, or academic partnerships.