ZipRecruiter

Log In

1

Modeling Engineer Jobs in Ohio (NOW HIRING)

Leidos

Modeling and Simulation Engineer

Dayton, OH · On-site

$69K - $125K/yr

Leidos is hiring a Modeling and Simulation Engineer with an active TS/SCI clearance at Wright-Patterson Air Force Base, Ohio. The successful candidate will use strong technical capabilities and ...

Leidos

Modeling and Simulation Engineer

Dayton, OH

$69K - $125K/yr

Leidos is hiring a Modeling and Simulation Engineer with an active TS/SCI clearance at Wright-Patterson Air Force Base, Ohio. The successful candidate will use strong technical capabilities and ...

Leidos

Modeling and Simulation Engineer

Dayton, OH · On-site

$107K - $195K/yr

Leidos is hiring a Modeling and Simulation Engineer with an active TS/SCI clearance at Wright-Patterson Air Force Base, Ohio. The successful candidate will use strong technical capabilities and ...

Leidos

Modeling and Simulation Engineer

Dayton, OH · On-site

$107K - $195K/yr

Leidos is hiring a Modeling and Simulation Engineer with an active TS/SCI clearance at Wright-Patterson Air Force Base, Ohio. The successful candidate will use strong technical capabilities and ...

Leidos

MBSE Modeling and Simulation Engineer

Dayton, OH · On-site

$87K - $157K/yr

Leidos is hiring a Model Based Systems Engineer (MBSE) Modeling and Simulation Engineer with an active DoD TS/SCI clearance at Wright-Patterson Air Force Base, Ohio. We need an engineer with ...

Leidos

MBSE Modeling and Simulation Engineer

Dayton, OH · On-site

$87K - $157K/yr

Leidos is hiring a Model Based Systems Engineer (MBSE) Modeling and Simulation Engineer with an active DoD TS/SCI clearance at Wright-Patterson Air Force Base, Ohio. We need an engineer with ...

next page

Showing results 1-20

All JobsModeling Engineer JobsModeling Engineer Jobs in Ohio

Modeling Engineer information

See Ohio salary details

$33.4K

$101.9K

$179.2K

How much do modeling engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for modeling engineer in Ohio is $101,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,043.00 and $121,121.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior modeling engineers, especially those with expertise in machine learning, data science, or specialized simulation tools, can earn $300,000 or more annually. High compensation is often associated with experience, advanced skills, working in high-demand industries like aerospace or tech, and holding senior or lead roles.

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

To thrive as a Modeling Engineer, you need a solid background in mathematics, physics, and computational modeling, often backed by a degree in engineering or a related field. Proficiency in simulation software such as MATLAB, Simulink, ANSYS, or Python-based modeling tools is typically required, along with familiarity with CAD systems. Strong problem-solving abilities, communication skills, and attention to detail help set exceptional modeling engineers apart. These skills ensure accurate model development, effective teamwork, and the ability to translate complex data into actionable engineering solutions.

What engineers make $500,000?

Senior engineering roles in fields such as software, petroleum, and aerospace engineering can reach or exceed a $500,000 annual salary, especially with experience, advanced skills, and bonuses. High-level positions often require specialized expertise, leadership responsibilities, and sometimes advanced certifications or degrees.

What does a modeling engineer do?

A modeling engineer develops and implements mathematical models to simulate physical systems, processes, or products. They use software tools like MATLAB or Simulink and often work closely with design, testing, and validation teams to optimize performance and ensure accuracy. Strong analytical skills and knowledge of engineering principles are essential for this role.

How do Modeling Engineers typically collaborate with other teams during a project?

Modeling Engineers frequently work in cross-functional teams, collaborating closely with design, simulation, and product development groups to ensure that models accurately reflect real-world conditions and requirements. They often participate in regular meetings to discuss project goals, share progress updates, and troubleshoot any issues that arise in the modeling process. Open communication and the ability to translate complex technical data for non-technical stakeholders are essential, as Modeling Engineers serve as a bridge between theoretical models and practical implementation. This collaborative environment helps ensure that projects are delivered efficiently and meet the necessary specifications.

What are Modeling Engineers?

Modeling Engineers are professionals who develop mathematical or computational models to simulate real-world systems, processes, or products. They often work in fields like engineering, manufacturing, software development, or research, using advanced software tools and programming languages. Their models help predict performance, identify improvements, and optimize designs before actual implementation. Modeling Engineers collaborate closely with other engineers, designers, and stakeholders to ensure that the models meet project goals and real-world constraints.

What is the difference between Modeling Engineer vs Simulation Engineer?

AspectModeling EngineerSimulation Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fieldsBachelor's or Master's in Engineering, Computer Science, or related fields
Work EnvironmentDesigning and developing models, working in R&D or product development teamsRunning simulations, analyzing results, often in testing or validation labs
Industry UsageAutomotive, aerospace, electronics, and manufacturing sectorsAutomotive, aerospace, electronics, and manufacturing sectors
Common Search/ComparisonModeling Engineer vs Simulation Engineer

Modeling Engineers focus on creating mathematical and computational models to represent systems or components, while Simulation Engineers run simulations based on those models to analyze performance and behavior. Both roles often overlap but serve different stages in product development and testing processes.

What engineers make $200,000 a year?

Senior modeling engineers, especially those with expertise in machine learning, simulation, or specialized software, can earn $200,000 or more annually. High salaries are often associated with extensive experience, advanced skills, and working in industries like aerospace, automotive, or technology companies that value modeling and simulation capabilities.
What are popular job titles related to Modeling Engineer jobs in Ohio? For Modeling Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Modeling Engineer jobs in Ohio look for? The top searched job categories for Modeling Engineer jobs in Ohio are:
Modeling Engineer jobs near you
Infographic showing various Modeling Engineer job openings in Ohio as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,934 per year, or $49 per hour.
Development Engineer (AI-Augmented Scientific Modeling)

Development Engineer (AI-Augmented Scientific Modeling)

First Solar

Perrysburg, OH • On-site

Full-time

Posted 6 days ago

New

First Solar rating

6.8

Company rating: 6.8 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

422nd of 527 rated manufacturers

Job description


First Solar reserves the right to offer you a role most applicable to your experience and skillset.
Basic Job Functions:
First Solar is seeking a self-driven computational scientist, scientific modeling engineer, applied physicist, or AI-augmented research engineer to help accelerate scientific learning and R&D decision-making. The role combines physical reasoning, computation, data analysis, scientific software, and modern AI-assisted workflows to turn complex observations into practical insight.
This role sits at the intersection of scientific modeling, AI-assisted research workflows, data science, simulation, uncertainty analysis, and engineering decision support. The candidate will develop models, software tools, and analytical workflows that help transform scientific information and experimental results into practical engineering insight.
Education/Experience:
  • Bachelor's degree and 10 years of experience, Master's degree and 8 years of experience, or Ph.D. (strongly preferred) and 5 years of experience in Engineering (Chemical, Electrical, Mechanical, or Computational Science and Engineering) or a related technical field (e.g., Applied Mathematics, Scientific Computing, Physics, Materials Science, Astronomy/Astrophysics, Computational Chemistry, or Computational Biology).
  • Relevant experience must include applying computational, physical, statistical, data-driven, or AI-enabled methods to scientific or engineering challenges.
  • Alternatively, candidates with 2 years of experience as a Development Engineer II at First Solar will be considered.
  • Helpful, but not necessary experience:
    • Experience creating models, software tools, or analytical workflows that influenced experimental decisions, process improvements, engineering decisions, or scientific strategy.
    • Experience building computational pipelines for complex experimental or observational data from microscopy, spectroscopy, scattering measurements, tomography, reliability testing, manufacturing systems, or field-performance monitoring.
    • Experience modeling one or more of the following: transport, diffusion, reaction kinetics, degradation, defect physics, semiconductor behavior, electrochemical systems, materials evolution, or coupled process-structure-property relationships.
    • Familiarity with materials science, photovoltaics, semiconductor devices, thin films, defect chemistry, energy materials, manufacturing process data, or field-performance modeling.

Required Skills/Competencies:
  • Strong written and verbal English communication skills, with the ability to participate effectively in cross-functional technical teams.
  • Experience using modern AI tools and integrating AI-assisted methods into scientific, engineering, or research workflows to accelerate modeling, simulation, software development, literature synthesis, data analysis, or technical decision-making.
  • Demonstrated ability to independently learn new scientific, computational, or analytical methods and apply them to unfamiliar technical problems.
  • Ability to work effectively in ambiguous research environments where the correct model, mechanism, or interpretation is not known in advance.
  • Candidates should demonstrate strength in the following areas:
    • Machine learning, AI-assisted scientific workflows, surrogate modeling, or simulation acceleration.
    • Scientific modeling of physical, chemical, materials, device, or engineering systems.
    • Data analysis, inference, uncertainty assessment, optimization, or model calibration.
    • Scientific software development in Python, Julia, C++, MATLAB, C#, or similar environments.
    • Integration of models and algorithms with experimental, operational, reliability, manufacturing, or field data.
    • Ability to connect scientific understanding with practical engineering decisions.
    • Evidence of scientific curiosity, creativity, intellectual independence, and ability to challenge assumptions constructively.

Essential Responsibilities:
  • Develop and apply machine-learning, generative AI, and physics-informed modeling approaches to explore complex structure-property-performance relationships, identify promising design directions, and accelerate scientific understanding of material systems.
  • Evaluate and apply AI-assisted tools and emerging computational methods that meaningfully improve scientific productivity, model development, data analysis, simulation workflows, or engineering decision quality.
  • Translate physical hypotheses, experimental observations, and engineering questions into scientific models, surrogate models, decision-support tools, and AI-enhanced analytical workflows that help researchers understand complex systems, evaluate competing hypotheses, prioritize opportunities, and guide R&D decisions.
  • Implement scientific models and analysis workflows as reusable computational tools with attention to robustness, computational efficiency, documentation, and reproducibility.
  • Identify knowledge gaps, critical uncertainties, and high-value learning opportunities across research programs, to maximize information gained from experiments and simulations.
  • Use experimental data to support model calibration, parameter estimation, uncertainty assessment, sensitivity analysis, and model validation.
  • Work closely with process development, characterization, reliability, device physics, and other technical teams to improve scientific learning cycles, accelerate problem-solving, and convert research insights into practical engineering actions.
  • Communicate modeling assumptions, limitations, validation results, uncertainty, and technical conclusions clearly to both specialist and non-specialist audiences.

Reporting Relationships:
  • Report to Fellow, Advanced Research.
  • This position will not have direct reports.

Travel:
  • 0% - 5% (On occasion/as needed for training, etc.)

Estimated Salary Range:
  • $80,700 - $135,000 Annually

Physical Requirements:
All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship.
Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.
Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

What First Solar employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply