Staff State Estimation Engineer, Shield AI

• Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience
• Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors
• Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters)
• Proficient in C++11 or newer in real-time environments
• Comfortable working in Linux, with experience using standard command-line tools and scripting
• Strong written and verbal communication skills with a collaborative mindset
• Demonstrated success working in fast-paced development cycles and delivering high-quality results

Desirable

• As a Staff State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments
• You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability
• Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications
• Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments
• Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks
• Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance
• Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems
• Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions
• Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions