Build navigation for Ribbit’s autonomous airplanes in Burlington, combining visual-inertial odometry, sensor fusion, and real-time C++ in a hybrid setting.This senior engineering position focuses on state estimation for aircraft operating through challenging navigation conditions. You will develop INS mechanisation, GNSS/INS integration, vision-based localization, and alternative-sensor approaches. Your work will support automatic takeoff, approach, flare, and landing while producing trustworthy estimates for downstream users.Key Responsibilities: Design aircraft-state estimators using Kalman and factor-graph methodsDevelop visual-inertial odometry, map matching, and landmark detectionFuse IMUs, GNSS, cameras, Li DAR, radar, and air-data sensorsEstimate wind, air data,



and terrain-relative heightValidate real-time C++ through logs, simulation, HIL, and flightRequirements: Experience developing navigation or localization software on real hardwareStrong foundation in recursive, batch, and nonlinear estimation techniquesExperience with inertial navigation, coordinate frames, and IMU error modellingGNSS-denied localization experience, especially visual odometry or visual SLAMPython or MATLAB experience for analysis and filter tuningBring aircraft navigation, visual localization, and sensor-fusion experience to Ribbit’s autonomous flight programs in Ontario.#J-18808-Ljbffr

📌 Autonomous Aircraft Navigation Engineer (Burlington)
🏢 Rainfall Ventures
📍 Burlington