Aerospace Engineering Intern

About the role

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.

Responsibilities

• 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.
• 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, aerospace engineering or a related degree and continue to be enrolled full-time the semester following the internship.
• This is a part-time, on call position (20 hours per week) for a student during academic semester.

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# or C++).
• Basic knowledge of using Git for code management.

Pay & Schedule

• Salary compensation range: $46,500 - $58,000 - $69,500 Annual
• This is a part-time, on call position (20 hours per week) for a student during academic semester.
• Work Location Type: Hybrid