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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. Key sponsors of the Department work program include CPE Simulation, Training, Test, & Threat (Orlando, FL), CPE Ground - Soldier Systems (Fort Belvoir, VA), CPE Ground - Combat Platforms and DEVCOM Ground Vehicle Systems Center (Ann Arbor, MI), DEVCOM Soldier System Center (Natick, MA), PAE Fires and CPE Aviation (Huntsville, AL), Army Test and Evaluation Command (Aberdeen Proving Ground, MD) and CPE Chemical, Biological, Radiological and Nuclear Defense (Edgewood, MD). The work programs leverage a diverse set of technical disciplines from within the Department and across the corporation to maximize our impact in solving some of the Army's toughest modernization challenges 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, 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# 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
Salary compensation range and midpoint:$46,500 - $58,000 - $69,500 Annual
Work Location Type:Hybrid
Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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