Navigation and Autonomy Engineer

The Contested Autonomy and Navigation Branch at Leidos develops cutting-edge alternative navigation and autonomy technologies for environments where GPS alone cannot be trusted. You’ll work on small, fast-moving engineering teams developing and demonstrating advanced capabilities on aircraft, ground vehicles, pedestrians, and maritime platforms.

Requirements

• Develop, integrate, and analyze state estimation and multi-sensor fusion algorithms, including Extended Kalman Filters, Unscented Kalman Filters, Particle Filters, Factor Graphs
• Develop, integrate, and analyze computer vision perception and localization techniques including feature extraction/matching, optical flow/visual odometry, image correlation, Simultaneous Localization and Mapping (SLAM), machine learning approaches
• Develop and utilize simulation testbeds to support algorithm testing and assessment
• Travel with your team to demo your system to the customer on a variety of platforms, including aircraft, ground vehicles, pedestrians, and naval ships
• Must be a US Citizen
• Must be eligible to obtain and maintain a U.S. Secret security clearance
• Experience with MATLAB, Python, or C++ for algorithm development and analysis
• Background in robotics, controls, estimation, or autonomous systems
• Experience with either sensor fusion/estimation algorithms or with computer vision algorithms

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance