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Modeling And Simulation Engineer Jobs in Connecticut

LiquidPiston

Senior Engine Performance Engineer

Suffield, CT · On-site

$101K - $139K/yr

You will also collaborate with Modeling and Simulation teams to integrate analytical results into ... Partner with Test Engineers to create and execute test plans that generate critical experimental ...

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All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Connecticut

Modeling And Simulation Engineer information

See Connecticut salary details

$37.1K

$117.4K

$181.2K

How much do modeling and simulation engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for modeling and simulation engineer in Connecticut is $117,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $139,400.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Connecticut?

For Modeling And Simulation Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Modeling And Simulation Engineer jobs in Connecticut look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Modeling And Simulation Engineer jobs?

Cities in Connecticut with the most Modeling And Simulation Engineer job openings:

Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Connecticut as of September 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $117,388 per year, or $56.4 per hour.

Simulation Engineering Intern - Summer 2027 | LiquidPiston

Suffield, CT • On-site

LiquidPiston
Motor Vehicle Manufacturing • 11 - 50 employees
Learn more about LiquidPistonexternal

$16.25 - $21.25/hr

Other

Posted 3 days ago

New

Job description

Simulation Engineering Intern - Summer 2027 | LiquidPiston
Location: Suffield, CT
Schedule: Full-time, onsite 5 days/week
Employment Type: Summer 2027 Internship
Compensation: Paid internship
Relocation: Relocation assistance is not available
Why LiquidPiston?
What if you could use simulation to help develop an entirely new kind of engine?
LiquidPiston is developing compact, high-performance rotary engines based on a novel thermodynamic cycle for applications across defense, aerospace, commercial power, and advanced propulsion.
As a Simulation Engineering Intern, you won't be working on theoretical exercises that sit on a shelf. You'll use modeling, simulation, programming, and engineering analysis to help answer real questions about how our engines perform and then compare those predictions against physical test data. You'll work alongside engineers developing and testing next-generation propulsion technology, gaining experience seeing a simulation move from a model on a computer to hardware on the test stand.
The Opportunity
We're looking for an engineering student who enjoys figuring out why something behaves the way it does.This internship is centered around computational engineering: building models, running simulations, analyzing results, improving predictions, and turning data into useful engineering decisions.
Depending on your background and the needs of the team, you may work on areas such as engine performance, thermodynamics, heat transfer, fluid behavior, structural response, or system-level modeling.You'll have the opportunity to take ownership of meaningful technical work while learning from engineers working across mechanical design, combustion, controls, and engine testing.
What You'll Do
Model Real Engineering Problems
  • Develop and modify simulation models used to evaluate engine and propulsion-system behavior.
  • Model performance across different operating conditions and design configurations.
  • Apply engineering fundamentals to understand thermodynamic, thermal, fluid, structural, or system-level behavior.
  • Run simulations, evaluate outputs, and identify trends or unexpected results.
  • Use engineering judgment to determine whether simulation results make physical sense.
  • Explore design alternatives and help evaluate performance tradeoffs.
Turn Data Into Answers
  • Analyze simulation and experimental datasets to identify trends, relationships, and areas for improvement.
  • Compare simulation predictions against physical test results.
  • Investigate differences between predicted and measured behavior.
  • Help refine models based on what the test data is telling us.Create clear plots, calculations, and summaries that help engineers make decisions.
Improve the Way We Simulate
  • Write scripts and tools to automate repetitive simulation and data-processing tasks.
  • Develop Python, MATLAB, or similar workflows for analysis and visualization.
  • Help organize, process, and interpret large engineering datasets.
  • Look for opportunities to make simulation workflows faster, more repeatable, and easier to use.
  • Build tools that help engineers spend less time processing data and more time understanding it.
Work Across Engineering Teams
  • Collaborate with mechanical, combustion, controls, and test engineers.
  • Help connect simulation results with physical hardware and test programs.
  • Participate in technical discussions and design reviews.
  • Document modeling approaches, assumptions, methods, and conclusions.
  • Present findings and explain technical results to engineers and other team members.
Qualifications
  • Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related engineering field.
  • Strong interest in simulation, computational engineering, modeling, or engineering analysis.
  • Solid understanding of engineering fundamentals such as thermodynamics, heat transfer, fluid mechanics, or structural mechanics.
  • Strong analytical and problem-solving skills.
  • Comfortable working with technical data and drawing conclusions from results.
  • Curious and willing to dig into problems rather than accepting unexpected results at face value.
  • Detail-oriented with a methodical approach to engineering work.
  • Able to work independently while collaborating effectively with a multidisciplinary team.
  • Strong written and verbal communication skills.
Requirements
  • Available to work full-time onsite in Suffield, CT, 5 days per week during Summer 2027.
  • Experience using at least one engineering simulation or analysis tool such as ANSYS, MATLAB/Simulink, GT-Power, COMSOL, Abaqus, STAR-CCM+, Fluent, or a comparable tool.
  • Programming or scripting experience with Python, MATLAB, C++, or a similar language.
  • Ability to analyze and interpret simulation or engineering data.
  • Ability to clearly document technical work, assumptions, methods, and results.
  • Ability to learn new engineering software and computational methods quickly.
  • Must understand fundamental operating principles of internal combustion engines.
Our Culture
At LiquidPiston, we challenge convention and solve hard problems. We move fast, think boldly, and iterate quickly. Our team thrives on collaboration, creativity, and resilience. We take calculated risks and believe that every setback is a steppingstone toward breakthrough innovation.
Equal Opportunity Employer
LiquidPiston, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, or veteran status, and will not be discriminated against on the basis of disability.
All offers of employment at LiquidPiston are contingent upon the successful completion of a pre-employment background check, drug screening and credit check.

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