GovCIO is currently hiring for a LiDAR Engineer/Scientist 1 to design, develop, and integrate LiDAR-based sensing solutions for advanced perception systems.  This role involves working across hardware, firmware, and software to deliver high-accuracy structural mapping and object detection capabilities.  The ideal candidate has strong experience with LiDAR sensors, point cloud processing, and real-time perception and the ability to support engineering functions on the Navy’s Fleet Submarine Very Low and Low-Frequency Broadcast Engineering Support team.  This position will be in Charleston, SC and will be an on-site position that typically requires 40% CONUS/OCONUS travel.

• Develop and optimize LiDAR sensor configurations for vehicle, robotics, or mapping applications
• Implement algorithms for point cloud filtering, segmentation, object detection, and classification.
• Evaluate LiDAR hardware performance and recommend sensor selections and calibration strategies.
• Integrate LiDAR data pipelines into existing perception or Simultaneous Localization and Mapping (SLAM) systems.
• Collaborate with cross-functional teams including hardware engineers, software developers, and product managers.
• Conduct field tests, analyze results, and improve system performance in real-world conditions.
• Create documentation, test plans, and reports for both internal use and regulatory compliance.
• Understand how LiDAR can be integrated into Model Based Systems Engineering (MBSE), which incorporated tools like CST, and Solidworks can help visualize what is actually taking place at each site.
• Perform electronics troubleshooting to the component level; read schematics/wiring diagrams; perform cable build/repair, connectorization, and rework/soldering as needed to restore system operation.

Required Skills and Experience

• High School degree with 3-6 yrs experience
• Clearance Level: SECRET
• BS degree in Software Engineering, Computer Engineering, Computer Science, Electrical Engineering, Mathematics, Robotics or Physics or related field.
• 3+ years of hands-on experience working with LiDAR sensors or 3D perception systems.
• Strong Proficiency with point cloud processing libraries (e.g., PCL, Open3D)
• Experience in C++, Python, or ROS.
• Familiarity with calibration, sensor fusion, and real-time systems.
• Solid understanding of geometric algorithms and 3D data structures.

Preferred Skills and Experience

• Strongly desired: FAA Part 107 Certification

• Develop and optimize LiDAR sensor configurations for vehicle, robotics, or mapping applications
• Implement algorithms for point cloud filtering, segmentation, object detection, and classification.
• Evaluate LiDAR hardware performance and recommend sensor selections and calibration strategies.
• Integrate LiDAR data pipelines into existing perception or Simultaneous Localization and Mapping (SLAM) systems.
• Collaborate with cross-functional teams including hardware engineers, software developers, and product managers.
• Conduct field tests, analyze results, and improve system performance in real-world conditions.
• Create documentation, test plans, and reports for both internal use and regulatory compliance.
• Understand how LiDAR can be integrated into Model Based Systems Engineering (MBSE), which incorporated tools like CST, and Solidworks can help visualize what is actually taking place at each site.
• Perform electronics troubleshooting to the component level; read schematics/wiring diagrams; perform cable build/repair, connectorization, and rework/soldering as needed to restore system operation.