Software Engineering Intern - Orlando, Fl

The MITRE Corporation • Orlando, FL

4d • Hybrid

About The Position

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.
The Army Soldier and Weapon Systems Department (N214) mission is to provide world class engineering workforce for combat, testing, and training capabilities to provide the U.S. Army an asymmetric advantage. The work programs leverage a diverse set of technical disciplines to solve complex problems in the areas of systems engineering, agile software development, test and evaluation, digital engineering, autonomous systems, and training.
Job Responsibilities:
The intern will work in conjunction with both MITRE and Capability Portfolio Executive for Simulation, Training, and Instrumentation (CPE STRI) in support of an Army Training project.
This project seeks to utilize predictive algorithms and/or ML/AI tools to assist in the development of a synthetic training environment, providing leadership with a continual overview of options and best paths forward for support.
The intern will participate in the design and implementation of cloud-based architectures to support scalable deployment, integration, and experimentation of ML/AI tools within the synthetic training environment.
The intern will develop, test, and document software components—such as data processing pipelines, ML/AI integration modules, and user-facing tools—to enable robust, maintainable, and extensible capabilities within the synthetic training environment.
Basic Qualifications:
Sustained excellence in academic performance
Must be a student enrolled full-time in an accredited degree-seeking program in computer engineering, software engineering, or a related degree and continue to be enrolled full-time the semester following the internship.
Preferred Qualifications:
Demonstrated interest in serving the public
AI/ML experience
Cloud experience
Familiarity with Python for simple programming tasks in AI.
Ability to work with data to find patterns and insights.
Comfort with at least one programming language.
Java, Python, C# and or C++
Basic knowledge of using Git for code management.
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret

Requirements

• Sustained excellence in academic performance
• Must be a student enrolled full-time in an accredited degree-seeking program in computer engineering, software engineering, or a related degree and continue to be enrolled full-time the semester following the internship.

Nice To Haves

• Demonstrated interest in serving the public
• AI/ML experience
• Cloud experience
• Familiarity with Python for simple programming tasks in AI.
• Ability to work with data to find patterns and insights.
• Comfort with at least one programming language.
• Java, Python, C# and or C++
• Basic knowledge of using Git for code management.

Responsibilities

• The intern will work in conjunction with both MITRE and Capability Portfolio Executive for Simulation, Training, and Instrumentation (CPE STRI) in support of an Army Training project.
• The intern will participate in the design and implementation of cloud-based architectures to support scalable deployment, integration, and experimentation of ML/AI tools within the synthetic training environment.
• The intern will develop, test, and document software components—such as data processing pipelines, ML/AI integration modules, and user-facing tools—to enable robust, maintainable, and extensible capabilities within the synthetic training environment.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees