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Computational Engineering Jobs in Connecticut (NOW HIRING)

Aequor

Duties: As an active team member of the Computational Innovation department, the successful ... Skills: • Programming experience with Python and R for bioinformatic data analysis in unix-like ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

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

Varsity Tutors

Mechanical Engineering Tutor

Hartford, CT · Remote

$18 - $40/hr

Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced ...

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Computational Engineering information

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$46.1K

$115.6K

$130.8K

How much do computational engineering jobs pay per year?

As of Sep 9, 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:

Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Connecticut as of September 2026, with employment types broken down into 2% Internship, 77% Full Time, 10% Part Time, 5% Temporary, and 6% Contract. Highlights an 90% In-person, 4% 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

Danbury, CT • On-site

Entegris
Semiconductor and Electronic Component Manufacturing • 5 - 10K employees
Learn more about Entegrisexternal

$93K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Key responsibilities

  • Develop and apply molecular, statistical, and computational 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.

Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

88th of 547 rated manufacturers

Job description

Job Title:
Senior Scientist, Computational Materials Solutions
Job Description:
The Role
Entegris is currently seeking a Senior Scientist, Computational Materials Solutions to join our Digital Innovation Team in the Technology and Innovation organization within our Materials Solutions (MS) business.
This role focuses on accelerating innovation by combining computational science, machine learning, and domain expertise to 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.
What You'll Do
  • Develop and apply molecular, statistical and 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.

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

  • Strong foundation in 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 in materials science, chemistry, semiconductor, life sciences, energy, or advanced manufacturing R&D.

  • Demonstrated success combining experimental data with modeling and AI to 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. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization - not just when it's convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.
What We Offer
Our total rewards package goes above and beyond just a paycheck. Whether you're looking 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
  • Generous 401(K) plan with an impressive employer match

  • Excellent health, dental and vision insurance packages to fit your needs

  • Flexible work schedule and 11 paid holidays a year

  • Paid time off (PTO) policy that empowers you to take the time you need to recharge

  • Education assistance to support your learning journey

  • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

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 to providing equal 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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