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 methods
- Develop visual-inertial odometry, map matching, and landmark detection
- Fuse IMUs, GNSS, cameras, LiDAR, radar, and air-data sensors
- Estimate wind, air data, and terrain-relative height




- Validate real-time C++ through logs, simulation, HIL, and flight

Requirements:

- Experience developing navigation or localization software on real hardware
- Solid foundation in recursive, batch, and nonlinear estimation techniques
- Experience with inertial navigation, coordinate frames, and IMU error modelling
- GNSS-denied localization experience, especially visual odometry or visual SLAM
- Python or MATLAB experience for analysis and filter tuning

Bring aircraft navigation, visual localization, and sensor-fusion experience to Ribbit’s autonomous flight programs in Ontario.

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