Perception Engineer III

Job description

Job responsibilities

• Design and develop target detection, tracking, and state estimation pipelines that produce robust track kinematics under challenging observation conditions
• Implement track initiation, maintenance, association, and termination logic with well-characterized uncertainty
• Develop and tune nonlinear state estimators (EKF, UKF, particle filters) for target motion modeling
• Characterize seeker performance across engagement geometries, environmental conditions, and target signatures
• Define confidence and covariance outputs that downstream autonomy can reason about
• Architect the world state representation that fuses self-state, target tracks, terrain, threats, and mission context into a coherent model
• Integrate outputs from VIO/SLAM, sensor fusion, and target tracking into a unified perception picture
• Manage temporal alignment, coordinate frames, and data association across heterogeneous sensor streams

Job requirements

• Bachelor's in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, Applied Mathematics, or related field (Master's preferred) – equivalent industry experience also welcome
• 6-9+ years of experience in robotics perception, state estimation, or sensor fusion
• Strong proficiency in modern C++ for real-time embedded systems, with an emphasis on determinism, memory discipline, and performance
• Hands-on experience with ROS2 and DDS-based middleware in production or program-delivered systems
• Demonstrable experience developing and tuning nonlinear state estimators (EKF, UKF, or particle filters) for real applications
• Working knowledge of at least one relevant area: target tracking, SLAM, VIO, or multi-sensor fusion – with the ability and interest to grow into the others
• Experience deploying perception software on embedded compute platforms
• Strong foundation in linear algebra, probability, coordinate frames, and estimation theory