Aerospace Engineer

Leidos•Huntsville, AL

2d•$69,550 - $125,725•Onsite

About The Position

The Defense Sector at Leidos is seeking a talented Engineer for a full-time position in the Leidos Autonomy and Artificial Intelligence branch. You will work to solve complex engineering problems with a highly technical, multidisciplinary team consisting of aerospace engineers, computer scientists, research scientists, and statisticians. This group provides cutting-edge solutions to aerospace and defense problems such as autonomous battle management, robotic vehicle guidance, and model-based system identification. For this position you must be able to be on-site daily at our work location in Huntsville, AL. If you are not already local you would need to relocate to be considered.

Requirements

US Citizen with the ability to obtain and maintain a TS/SCI security clearance.
Bachelor’s degree and 2+ years of prior relevant experience or Master's degree with less than 2 years of prior relevant experience.
Advanced proficiency in programming, specifically including Python and MATLAB.
Fundamental understanding of mathematical concepts, including linear algebra, matrix math, statistics, trigonometry, and coordinate frames.
Fundamental understanding of core aerospace concepts, such as vehicle and attitude dynamics, control systems, and flight mechanics.
Understanding of machine learning basics, supervised learning, reinforcement learning, and statistics.
Ability to perform independent research to learn new skills.
Ability to work both in collaborative team environments and independently on open-ended research problems.
Effective technical communication skills.

Nice To Haves

US Citizen with an active security clearance.
Research experience or prior internship positions.
Experience with C++.
Experience with Linux.
Experience with version control systems (e.g. Git).

Responsibilities

Develop solutions to aerospace and defense problems by applying a variety of engineering, AI/ML, and software technical skills.
Solve open-ended research problems across several different aerospace domains.
Utilize technical skills in dynamical modeling and simulation, machine learning (e.g., supervised learning, reinforcement learning), algorithm development, and data visualization.
Implement skills and solutions in software via programming languages such as Python.
Leverage internal resources (e.g., software toolkits), collaborate with peers and experienced professionals, and learn independently.
Comfortably and effectively communicate technical results of their analysis to peers.