Navigation and Autonomy Engineer

Description

The Contested Autonomy and Navigation Branch at Leidos develops cutting‑edge alternative navigation and autonomy technologies for environments where GPS alone cannot be trusted. Based in Huntsville, AL, this role combines algorithm development, simulation, integration, and real‑world field testing of autonomous systems for customers including DARPA, NASA, AFRL, ONR, and the U.S. Army.

• Develop, integrate, and analyze state estimation and multi‑sensor fusion algorithms such as Extended Kalman Filters, Unscented Kalman Filters, Particle Filters, and Factor Graphs.
• Develop, integrate, and analyze computer vision perception and localization techniques, including feature extraction/matching, optical flow/visual odometry, image correlation, SLAM, and machine learning approaches for these tasks.
• Perform development primarily in MATLAB, Python, C++, ROS, and Linux‑based environments.
• Develop and utilize simulation testbeds to support algorithm testing and assessment.
• Travel with the team to demo systems to customers on aircraft, ground vehicles, pedestrians, and naval ships; testing trips typically last 1–2 weeks and occur 3–4 times a year.

• Bachelor’s degree in computer engineering, electrical engineering, computer science, aerospace engineering, mechanical engineering, or equivalent with 2+ years of experience; or Master’s degree with fewer than 2 years of experience.
• Must be a U.S. 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 (e.g., Kalman Filters, Particle Filters, or Factor Graphs) or computer vision algorithms (e.g., OpenCV). Experience with both is preferred.

• Experience with various sensor types (Inertial Measurement Units, GPS, cameras, LiDAR, etc.).
• Experience with the Robot Operating System (ROS) and the OpenCV computer vision library.
• Experience with interface communication standards/protocols such as RS232, RS422, TCP/IP, and UDP.
• Experience with autonomous system development through robotics competitions.
• Experience with Linux operating environment.
• Experience using version control tools (Git, Subversion, etc.).
• Experience with AI/ML for computer vision or robotics applications.

Pay Range: $69,550.00 – $

Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave, and Retirement options.

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, disability, or any other protected characteristic. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.