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Computational Engineering Jobs in Ohio (NOW HIRING)

Battelle

Computational Biologist

Columbus, OH · On-site

As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research by applying computational approaches to protein structure prediction, design, and optimization. You ...

A/V Services LLC

D. in Bioengineering, Chemical Engineering, Computational Biology, Bioinformatics, Biochemistry, Systems Biology, or a related field. Candidates with an M.S. and 2+ years of experience will be ...

New

A/V Services LLC

D. in Bioengineering, Chemical Engineering, Computational Biology, Bioinformatics, Biochemistry, Systems Biology, or a related field. Candidates with an M.S. and 2+ years of experience will be ...

New

OSI Engineering, Inc.

Test Engineer (UX)

Raymond, OH · On-site

This role leads testing activities, gathering both computational and physical vehicle data for exterior systems. When performance issues arise, the engineer develops and implements countermeasures in ...

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Computational Engineering information

See Ohio salary details

$46.1K

$115.5K

$130.7K

How much do computational engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational engineering in Ohio is $115,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs in fields such as aerospace, automotive, or energy. Strong skills in programming, numerical methods, and problem-solving are essential for this role.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, where advanced simulations and modeling are essential. Professionals with skills in programming, numerical methods, and software tools like MATLAB or Python are sought after for their ability to optimize designs and solve complex problems.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What are the most commonly searched types of Computational Engineering jobs in Ohio? The most popular types of Computational Engineering jobs in Ohio are:
What are popular job titles related to Computational Engineering jobs in Ohio? For Computational Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Computational Engineering jobs in Ohio look for? The top searched job categories for Computational Engineering jobs in Ohio are:
Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Ohio as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,524 per year, or $55.5 per hour.

Engineer, Development (AI-Augmented Scientific Modeling)

JMJ PHILLIP

Perrysburg, OH • On-site

$130 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 hours ago

Posted today

Job description

We are seeking an Engineer, Development (AI-Augmented Scientific Modeling) to develop and enhance advanced scientific modeling solutions by integrating artificial intelligence, data-driven methodologies, and computational engineering techniques. The ideal candidate is passionate about innovation, enjoys solving complex technical challenges, and has experience applying AI and computational modeling to accelerate research, product development, and engineering decision-making.

Position ResponsibilitiesAI Model Development
  • Develop and implement AI-augmented scientific and engineering models.
  • Integrate machine learning techniques with traditional physics-based modeling approaches.
  • Evaluate and improve model accuracy, scalability, and performance.
Scientific Modeling & Simulation
  • Design, develop, and validate computational models for engineering and scientific applications.
  • Analyze simulation results and recommend design or process improvements.
  • Ensure models accurately represent real-world systems and behaviors.
Data Analysis & Machine Learning
  • Collect, clean, and analyze large datasets to support predictive modeling.
  • Develop algorithms that improve model efficiency and decision-making.
  • Apply statistical and machine learning techniques to solve engineering challenges.
Research & Innovation
  • Stay current with advancements in AI, scientific computing, and emerging technologies.
  • Evaluate new tools and methodologies to improve development capabilities.
  • Contribute to research initiatives and technology roadmaps.
Cross-Functional Collaboration
  • Collaborate with engineering, research, software development, and data science teams.
  • Translate complex technical findings into actionable recommendations.
  • Support product development through technical expertise and analytical insights.
Documentation & Technical Communication
  • Prepare technical documentation, reports, and model validation results.
  • Present findings to internal stakeholders and leadership.
  • Maintain documentation to support knowledge sharing and regulatory compliance where applicable.
Prerequisites
  • Bachelor's, Master's, or Ph.D. in Engineering, Computer Science, Applied Mathematics, Physics, Materials Science, or a related technical field.
  • Experience in scientific computing, computational modeling, simulation, or AI-driven engineering applications.
  • Knowledge of machine learning frameworks and programming languages such as Python, MATLAB, or similar tools.
  • Experience with numerical methods, optimization, and data analysis.
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to work collaboratively in multidisciplinary engineering and research environments.
Certifications (Preferred, but Not Required)
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Certified TensorFlow Developer
  • Data Science or Artificial Intelligence certifications
  • Lean Six Sigma Green Belt
What the Role Offers
  • Salary Range: $130,000 – $160,000 annually.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company contributions.
  • Performance-based incentive opportunities.
  • Paid time off and company holidays.
  • Professional development and continuing education support.
  • Access to cutting‑edge AI technologies and research initiatives.
  • Collaborative engineering environment with opportunities for career advancement.
Why Perrysburg?

Perrysburg offers an excellent environment for engineering and technology professionals, with access to a growing innovation ecosystem, advanced manufacturing, and research-driven industries. The area provides opportunities to work on cutting‑edge technologies while enjoying a strong professional community, a high quality of life, and excellent long‑term career growth.

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