Leidos is looking to solve state-of-the-art research and development problems in remote sensing applications, including detection, tracking, data fusion, and classification, by applying machine learning and signal processing skills.
Requirements
- Strong programming ability in Python and/or C/C++ for Linux environments
- Knowledge of code configuration control
- Familiarity with common machine and deep learning packages such as Scikit-Learn, PyTorch, etc.
- Experience with Automatic Target Recognition algorithm development
- Experience working with monostatic or bi-static Synthetic Aperture Radar (SAR) and/or Synthetic Aperture Lidar (SAL) data and sensor systems
- Experience developing computer vision applications
- Experience with multi-sensor data fusion
Responsibilities
- Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, and signature modeling.
- Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems.
- Rapidly and iteratively implement new algorithms to address these challenges.
- Develop Automatic Target Recognition (ATR) algorithms using Python, MATLAB, C++, and other languages for real world applications.
- Leverage state-of-the-art AI/ML tools and methods to improve performance of ATR systems
- Provide technical leadership for tasks and programs
- Developing computer vision applications
Other
- Bachelor’s degree with 2+ years or Master's degree with experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics.
- Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance
- US Citizenship Required
- Ability to effectively communicate technical solutions to coworkers, teammates, and customers.
- About three quarters of the job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration
