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Computational Design Internship information

What is a computational design internship?

A Computational Design Internship is a temporary position where interns apply programming, algorithmic thinking, and design principles to solve complex design challenges. Interns often work with tools like Grasshopper, Dynamo, or scripting languages such as Python to automate workflows, generate design variations, and optimize solutions. This role is commonly found in architecture, engineering, product design, and other fields that integrate computation into the creative process. It provides hands-on experience with parametric modeling, generative design, and data-driven decision-making in real-world projects.

What types of projects or tasks might I work on during a computational design internship?

As a Computational Design Intern, you can expect to work on projects that integrate programming and design, such as developing parametric models, automating design processes, or optimizing architectural or product solutions using computational methods. You may collaborate closely with designers, engineers, and architects, contributing to both conceptual design and technical implementation. Typical responsibilities include scripting algorithms, analyzing design performance, building and testing prototypes, and visualizing data-driven design outcomes. This hands-on experience provides valuable exposure to cutting-edge digital design practices, teamwork, and real-world problem-solving.

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

To thrive as a Computational Design Intern, a strong background in mathematics, programming (such as Python or C++), and design principles—often supported by coursework or relevant academic projects—is essential. Familiarity with computational design tools like Rhino/Grasshopper, Autodesk Revit, or parametric modeling software is commonly required. Strong problem-solving abilities, adaptability, and effective teamwork and communication skills are also highly valued. These competencies enable interns to contribute creatively and technically to design solutions, making them effective contributors in multidisciplinary environments.

Is computational design an in demand career?

Computational design is a growing field with increasing demand across architecture, engineering, and product design industries. Professionals skilled in programming, parametric modeling, and tools like Rhino, Grasshopper, or Dynamo are sought after for innovative and efficient design solutions.

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

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

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

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

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

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

What cities in Virginia are hiring for Computational Design Internship jobs?

Cities in Virginia with the most Computational Design Internship job openings:

Computational Design Internship jobs near you
Infographic showing various Computational Design Internship job openings in Virginia as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution.

Software Engineering Intern - Artificial Intelligence (Spring 2027)

Cynet Corp

Vienna, VA • On-site

Internship

Posted 4 days ago

Job description

Cynet Systems Inc. is a proud participant in the Internships VA program. #InVA

Join an award-winning and talented organization that delivers world-class staffing and technology solutions. Working within a dynamic and innovative environment, you will have the opportunity to gain hands-on experience supporting cutting-edge Artificial Intelligence and Machine Learning initiatives while collaborating with experienced technical professionals.

As Cynet continues to expand its IT and technology capabilities, this internship provides a unique opportunity for a motivated individual to apply academic knowledge to real-world software engineering challenges and contribute to the development of AI-driven solutions.

About the Role

The Software Engineering Intern - Artificial Intelligence will support the design, development, testing, and optimization of software solutions focused on Artificial Intelligence and Machine Learning. This role will work closely with senior engineering leadership to assist with AI model development, data processing initiatives, and software development lifecycle activities.

The ideal candidate is passionate about emerging technologies, enjoys solving complex problems, and is eager to gain practical experience working with AI frameworks, cloud technologies, and enterprise-level software solutions.

What will you be doing day to day?
  • Collaborate with senior engineers to design, develop, and implement AI/ML solutions supporting business initiatives.
  • Assist with the creation and optimization of data pipelines supporting large-scale enterprise data processing across various systems.
  • Perform data preprocessing, cleaning, validation, and sanitization to prepare datasets for machine learning applications.
  • Develop, test, and maintain code using Python and/or TypeScript while ensuring quality and reliability.
  • Participate in software development lifecycle (SDLC) activities, including code reviews, unit testing, sprint planning, and Agile/Scrum processes.
  • Research and evaluate emerging Artificial Intelligence technologies, frameworks, and methodologies to improve system capabilities and efficiency.
  • Assist with documenting technical architectures, workflows, processes, and experimental results using Microsoft Office and technical visualization tools.
  • Collaborate with cross-functional teams to support the implementation and enhancement of AI-driven solutions.
  • Perform other duties and responsibilities as assigned.

Requirements

Your Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Software Engineering, or a related STEM discipline.
  • Coursework, projects, or research experience focused on Artificial Intelligence, Machine Learning, data science, or computational mathematics preferred.
  • Strong academic standing with a desire to apply theoretical knowledge to practical industry applications.
  • Previous internship, academic project, or hands-on experience with software development, data analysis, or AI/ML concepts preferred.
Your Skills
  • Proficiency in Python and/or TypeScript with a strong foundation in software development principles.
  • Familiarity with Artificial Intelligence and Machine Learning concepts, including Generative AI, Agentic AI, RAG, LangChain, LangGraph, and Vertex AI.
  • Basic understanding of databases, including SQL, NoSQL, and vector databases.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
  • Strong analytical, problem-solving, and communication skills with attention to detail.
  • Ability to collaborate effectively in a team-oriented environment and demonstrate a willingness to learn emerging technologies.

Benefits

About Cynet

Headquartered in the Washington, D.C. metro area, Cynet Systems is an award-winning and one of the fastest growing workforce solutions companies that help our clients realize their talent potential through custom staffing & recruiting solutions. Since its humble inception in 2010, Cynet has had a presence in all 50 States and over 2000 people strong spread across the US. For more information, please visit our website, www.cynetsystems.com 

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