Engineering Intern

** Description*
* Leidos'  
** Defense Systems** ,  
** Threat Modeling & Simulation Portfolio** , is seeking a talented  
** Engineering Intern
** for modeling & simulation applications with the ability to potentially work multiple projects within the Threat Modeling & Simulation Portfolio. This internship has the flexibility to be part-time (12 hours minimum) or full-time, depending on school schedule.

You will join a diverse team of junior-to-senior software developers, engineers, and scientists to help create unique solutions for complex problems. Our team solves important problems that make a difference and support our customers in the current and future defense of our nation; primarily in the areas of modeling & simulation, data analysis, and algorithm development for electro-optical infrared (EO/IR) systems, radar systems, directed energy weapons, and command and control systems.

The ideal candidate will demonstrate exceptional academic performance and enthusiasm toward developing a broad technical capability to support overlapping engineering/scientific/developer disciplines with a particular focus on solving problems. Candidate will be expected to productively contribute to a team environment while communicating effectively to management, technical leads, and coworkers.

Joining our team offers the opportunity to work with experts in their field and grow your career in an area that is appealing to you. You will quickly become an integral member of our team and be given the opportunity to take responsibility for challenging problems of your own. Because of this, we seek team members that are driven and engaged in their work while simultaneously demonstrating high character, given that you will often be working on sensitive and unique problems which require a high degree of trust from our customers.

** If this sounds like the kind of environment where you can thrive, keep reading!*
* ** Leidos Defense Systems Sector
** provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions.

To explore and learn more,  () !

** Are you ready to make an impact? Share your resume with us today!*
* ** Primary Responsibilities.*
* + Candidate can expect to work closely with a team of engineers and scientists to solve problems in a variety of disciplines to include EO/IR sensor systems, radar systems, directed energy weapons, and command and control systems, primarily for modeling & simulation purposes.

+ Candidate is expected to have a strong academic performance that lends itself towards a technical capability to support overlapping engineering/scientific/developer disciplines.

+ Candidate is also expected to have the ability to work and to communicate effectively within a multidisciplinary team.

** Basic Qualifications.*
* + Candidate must be actively enrolled and pursuing a Bachelor's degree program from an accredited university in mechanical engineering, electrical engineering, engineering physics, physics, software engineering, computer science, or an equivalent engineering or scientific program.

+ Experience solving problems with MATLAB/Python/C++ or equivalent.

+ Must be a U.S. Citizen and able to obtain and maintain a DoD security clearance.

+ Must be able to work between 12-40 hours a week.

** Preferred Qualifications.*
* + Highly organized, demonstrating the ability to work independently at times due to a fast-paced and highly productive work environment.

+ Interest in working multiple programs with proficiency in C++, MATLAB, Python, and/or C#.

+ Experience or interest in one or more of the following: EO/IR/RF phenomenology, image processing, signal processing, Kalman filtering, GPU programming with CUDA experience, developing AI/ML solutions.

+ Preference may be given to candidates with one or more of the…