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Computational Engineering Internship Jobs in Florida

... Engineering, or related technical field * 1-5 years of relevant experience (internships, academic ... Solid understanding of time complexity and computational efficiency, especially when handling large ...

... Engineering, or related technical field * 1-5 years of relevant experience (internships, academic ... Solid understanding of time complexity and computational efficiency, especially when handling large ...

... Engineering, or related technical field * 1-5 years of relevant experience (internships, academic ... Solid understanding of time complexity and computational efficiency, especially when handling large ...

... computational studies, and lead lab-in-the-loop collaborations with UAB, regional, and national ... Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC ...

Data Scientist-Mid

Tampa, FL ยท Hybrid

$114K - $155K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Science, Git, Python ... Utilizes advanced tools and computational skills to interpret, connect, predict, and make ...

Showing results 21-33

Computational Engineering Internship information

What are the key skills and qualifications needed to thrive as a computational engineering intern, and why are they important?

To thrive as a Computational Engineering Intern, you need a solid background in mathematics, programming (such as Python, MATLAB, or C++), and engineering principles, typically gained through relevant coursework or a degree in engineering, computer science, or a related field. Familiarity with simulation software, numerical analysis tools, and version control systems like Git is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and contribute to complex engineering projects. These competencies are crucial for efficiently supporting engineering teams and delivering accurate computational analyses in a fast-paced environment.

What is the difference between Computational Engineering Internship vs Mechanical Engineering Internship?

AspectComputational Engineering InternshipMechanical Engineering Internship
Required CredentialsTypically pursuing or holding a degree in computational, software, or engineering disciplinesTypically pursuing or holding a degree in mechanical engineering or related fields
Work EnvironmentFocus on software development, simulations, and modeling in labs or office settingsHands-on hardware, design, and testing in labs, manufacturing, or field environments
Industry UsageUsed in aerospace, automotive, energy, and tech sectors for simulation and analysisCommon in manufacturing, automotive, aerospace, and product design industries

Computational Engineering Internships focus on software, modeling, and simulation tasks, often in tech-driven industries, while Mechanical Engineering Internships involve physical design, testing, and hardware work. Both roles require engineering backgrounds but differ in daily tasks and work environments.

What is a computational engineering internship?

A Computational Engineering Internship is a temporary position for students or recent graduates, where they apply their knowledge of computer science, mathematics, and engineering to solve real-world problems using computational methods. Interns typically work on projects involving simulation, modeling, data analysis, or software development in engineering fields. This role provides hands-on experience with industry tools and technologies, and helps interns develop practical skills in areas such as programming, numerical analysis, and algorithm design. Interns may also collaborate with experienced engineers and researchers, contributing to ongoing projects and gaining valuable insights into engineering workflows.

What types of projects does a computational engineering intern typically work on, and how do these projects contribute to their professional development?

Computational Engineering Interns often work on projects involving simulation, modeling, data analysis, or algorithm development to solve real engineering problems. These assignments may include optimizing engineering processes, validating simulation results, or supporting the development of new computational tools. Interns usually collaborate closely with experienced engineers, gaining exposure to industry software and best practices. This hands-on experience not only develops their technical abilities but also helps them build teamwork and communication skills essential for advancing in the field.

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

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

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

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

What cities in Florida are hiring for Computational Engineering Internship jobs?

Cities in Florida with the most Computational Engineering Internship job openings:

Infographic showing various Computational Engineering Internship job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineering Intern - Artificial Intelligence (Spring 2027)

Cynet Corp

Leesburg, FL โ€ข On-site

Internship

Posted 3 days ago

New


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.comย