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Computational Design Jobs in Connecticut (NOW HIRING)

Varsity Tutors

Rhino Tutor

Bridgeport, CT · Remote

$18 - $40/hr

... computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching NURBS surface modeling, parametric design, and fabrication workflow in Rhino and Grasshopper. Guides ...

Varsity Tutors

Rhino Tutor

Norwalk, CT · Remote

$18 - $40/hr

... computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching NURBS surface modeling, parametric design, and fabrication workflow in Rhino and Grasshopper. Guides ...

Varsity Tutors

Rhino Tutor

New Haven, CT · Remote

$18 - $40/hr

... computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching NURBS surface modeling, parametric design, and fabrication workflow in Rhino and Grasshopper. Guides ...

Varsity Tutors

Rhino Tutor

Stamford, CT · Remote

$18 - $40/hr

... computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching NURBS surface modeling, parametric design, and fabrication workflow in Rhino and Grasshopper. Guides ...

Varsity Tutors

Rhino Tutor

Hartford, CT · Remote

$18 - $40/hr

... computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching NURBS surface modeling, parametric design, and fabrication workflow in Rhino and Grasshopper. Guides ...

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Computational Design information

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$38

$52

$70

How much do computational design jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computational design in Connecticut is $52.25, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $69.95 per hour, depending on experience, location, and employer.

What is a computational design?

A Computational Design job involves using algorithms, programming, and digital tools to create and optimize designs across various disciplines such as architecture, engineering, and product design. Professionals in this field leverage parametric modeling, generative design, and automation to enhance efficiency and innovation. They often work with software like Grasshopper, Dynamo, Python, or machine learning frameworks to solve complex design challenges. This role blends creativity with technical expertise to develop smarter, data-driven design solutions.

What does a typical day look like for someone working in computational design?

A typical day in Computational Design involves using specialized software to develop, test, and refine design algorithms that solve spatial or structural problems. You might collaborate with architects, engineers, or product designers to create digital prototypes, analyze performance data, and implement feedback for iterative improvement. Much of the work is project-based and requires frequent teamwork and meetings to align goals and ensure smooth integration of computational solutions into larger projects. Expect a dynamic environment where problem-solving and creativity are highly valued, and learning opportunities are ongoing as you stay up-to-date with new tools and methods.

What are the key skills and qualifications needed to thrive in computational design, and why are they important?

To thrive in Computational Design, a strong background in mathematics, programming, and design principles is essential, often supported by a degree in architecture, engineering, computer science, or a related field. Proficiency in software tools such as Rhino, Grasshopper, Python, MATLAB, and CAD platforms is typically required, along with relevant certifications in parametric or generative design if available. Strong problem-solving skills, creative thinking, and the ability to collaborate across multidisciplinary teams help candidates excel in this position. Mastery of these skills enables the creation of innovative, efficient solutions for complex design challenges and facilitates effective teamwork within fast-moving project environments.

Is computational design an in demand career?

Computational design is a growing field with increasing demand across architecture, engineering, and product development industries. Professionals skilled in programming, parametric modeling, and software like Rhino, Grasshopper, or Dynamo are sought after as companies adopt digital fabrication and automation technologies.

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

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

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

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

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

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

Computational Design jobs near you
Infographic showing various Computational Design job openings in Connecticut as of August 2026, with employment types broken down into 78% Full Time, 5% Part Time, 4% Temporary, and 13% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $108,684 per year, or $52.3 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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