Leidos is looking to hire machine learning and signal processing engineers to work on state-of-the-art research and development problems, primarily focused on remote sensing applications, to transform image and signal data into actionable information.
Requirements
- Strong programming ability in Python and/or C/C++ for Linux enviroments
- 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
Other
- Ability to effectively communicate technical solutions to coworkers, teammates, and customers.
- Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance
- US Citizenship Required
- This position requires 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, however we offer flexible in-office hours and the ability to perform some job duties remotely.
