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Computational Engineering Jobs in Connecticut (NOW HIRING)

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Advanced Engineering Analysis & Software: Proven expertise in vibration analysis, FEA stress analysis, and Computational Fluid Dynamics (CFD), complemented by advanced scientific programming skills ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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Showing results 1-20

Computational Engineering information

See Connecticut salary details

$46.1K

$115.6K

$130.8K

How much do computational engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computational engineering in Connecticut is $115,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $125,100.00 per year, depending on experience, location, and employer.

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 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 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.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, as it involves using advanced modeling, simulation, and programming skills to solve complex engineering problems. The field offers strong job growth prospects, especially for those proficient in programming languages, numerical methods, and software tools like MATLAB or Python.

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 across various engineering disciplines.

What are the most commonly searched types of Computational Engineering jobs in Connecticut?

The most popular types of Computational Engineering jobs in Connecticut are:

What are popular job titles related to Computational Engineering jobs in Connecticut?

For Computational Engineering jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Computational Engineering jobs in Connecticut look for?

The top searched job categories for Computational Engineering jobs in Connecticut are:

Infographic showing various Computational Engineering job openings in Connecticut as of August 2026, with employment types broken down into 6% Internship, 65% Full Time, 8% Part Time, 13% Temporary, and 8% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $115,596 per year, or $55.6 per hour.

Senior Scientist, Computational Materials Solutions

Entegris

Danbury, CT • On-site

$93K - $127K/yr

Other

PTO

Posted 5 days ago


Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

89th of 540 rated manufacturers


Job description

Job Title:

Senior Scientist, Computational Materials Solutions

Job Description:

The Role

Entegris is currently seeking aSenior Scientist,Computational Materials Solutionsto join ourDigital Innovation Teamin theTechnology and Innovation organization within our Materials Solutions (MS) business. This position will beremote.

This role focuses on accelerating innovation by combining computational science, machine learning, and domainexpertiseto deepen scientific understanding, guide experimentation, and translate research breakthroughs into scalable technologies for Molecular & Engineering Solutions (MES) business unit. You will translate MES business and technology priorities into actionable computational approaches, including molecular and materials modeling, predictive simulation, statistical and hybrid methods, and scientific data analysis. You will work in close partnership with experimental scientists, engineers, R&D leaders, and cross-functional technology teams to develop solutions that inform materials design, process development, product performance, and next generation technologies. The ideal candidate brings deep quantitative rigor, curiosity-driven problem solving, and the ability to bridge theory, data, and experimentation.

WhatYou'llDo

  • Develop and apply molecular,statisticaland computational, chemistry-informed solutions to investigate material behavior, process mechanisms, and guide materials design.

  • Support MES product and technology development programs through AI/ML, predictive simulations, structure-property analysis, design-of-experiments support, optimization, and reusable computational workflows.

  • Integrate simulation data, experimental results, and domain knowledge to support hypothesis generation, experiment prioritization, and model-based interpretation of R&D results.

  • Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification to build scientific confidence in computational recommendations.

  • Translate computational outputs into actionable guidance for MES scientists, engineers, and leaders, including clear communication of assumptions, limitations, uncertainty, and decision implications.

  • Build reusable solution libraries, workflows, documentation, and technical knowledge assets that can be applied across MES priorities and broader Materials Division R&D needs.

  • Communicate modeling assumptions, results, and insights clearly to technical and non-technical stakeholders. Document methods and results in technical reports, internal publications, and knowledge repositories.

WhatWeSeek

  • M.S. or Ph.D. in Chemistry, Materials Science, Physics, Engineering, or related scientific discipline.

  • Strong foundationin computational materials science, computational chemistry, molecular modeling, statistics, scientific computing, and simulation

  • Experience supporting research, experimentation, or early-stage technology development.

  • Ability to connect computational results to physical or chemical mechanisms and translate those results into practical R&D decisions.

  • Working knowledge of model verification, validation, uncertainty quantification, documentation, simulation data management, model reuse, and lifecycle governance.

  • Hands-on experience developing computational, simulation, or data-driven solutions using Python and scientific libraries such as NumPy, pandas, scikit-learn,PyTorch, TensorFlow, or related tools.

  • Strong collaboration, stakeholder-management, and communication skills with the ability to present complex technical work clearly to scientific, engineering, and business audiences.

Preferred Qualifications

  • 1-3 years of experience inmaterials science, chemistry, semiconductor, life sciences, energy, or advanced manufacturing R&D.

  • Demonstrated success combiningexperimental data with modeling and AIto guide discovery or development.

  • Experience with design-of-experiments (DoE), optimization, or Bayesian methods.

  • Familiarity with visualization, notebooks, or technical storytelling for R&D audiences.

  • Publications, patents, or significant internal research contributions.

Why Work at Entegris

Lead. Inspire. Innovate. Define Your Future.

Not everyone who works for a global company shares the same background,experiences and perspectives. Weleveragethe differences of our employees tobringnew ideasto the table. Every employee throughout the company isencouraged to share input on projects and initiatives. Our decision-makingprocess is truly a collaborative effort as we realize there are leaders at everylevel of the organization. We put our values at the core of how weoperateas anorganization - not just whenit'sconvenient, but in a lasting and meaningfulway. We want the time and energy you spend here to have a positive impact onyourlife inside and outside of the office.

WhatWeOffer

Ourtotalrewardspackagegoesaboveandbeyondjustapaycheck.Whetheryou'relooking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Compensation: $100,500 - $125,500 per year range with actual pay dependent on candidate overall skills for the role
  • Generous401(K)planwithanimpressiveemployermatch

  • Excellenthealth,dentalandvisioninsurancepackagestofityourneeds

  • Flexibleworkscheduleand11paidholidaysayear

  • Paidtimeoff(PTO)policythatempowersyoutotakethetimeyouneedtorecharge

  • Educationassistancetosupportyourlearningjourney

  • Values-drivenculturewithcolleaguesthatrallyaroundPeople,Accountability,CreativityandExcellence

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

At Entegris we are committed toprovidingequal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.


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