Archer
State Estimation and Navigation Engineer
About this role
Archer seeks a State Estimation and Navigation Engineer to develop and implement advanced navigation algorithms for an all-electric vertical takeoff and landing aircraft operating in GPS-denied environments. You will work on sensor fusion, visual-inertial odometry, and lidar-based navigation systems, collaborating across perception, controls, and test teams.
What you'll do
- Develop and tune state-estimation algorithms for GPS-denied and GNSS-degraded navigation scenarios
- Implement visual-inertial odometry, lidar/vision-aided inertial navigation, and multi-sensor fusion techniques
- Integrate state-estimation solutions with IMU, camera, lidar, and other onboard aircraft sensors
- Validate navigation performance through simulation, bench testing, and field testing
- Analyze test data to identify and resolve navigation performance issues
- Collaborate with perception, controls, and test teams to ensure robust navigation across operating conditions
What they're looking for
- C++ and Python programming
- Visual-inertial odometry (VIO) and SLAM techniques
- Extended Kalman Filter (EKF) and factor-graph sensor fusion
- IMU, camera, and lidar sensor integration
- State estimation algorithms
- Guidance, Navigation & Control (GN&C)
- Robotics systems
- Test data analysis and validation
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Archer
Archer develops all-electric vertical takeoff and landing (eVTOL) aircraft for sustainable aviation. The company is hiring engineers across electrical integration, software, aerodynamics, and controls to build and validate autonomous flight systems, propulsion architectures, and aircraft design.
View all jobs at ArcherLikely interview questions
- Walk us through your experience developing or implementing visual-inertial odometry systems and what challenges you encountered.
- Describe a project where you integrated multiple sensors (IMU, camera, lidar) into a navigation stack—how did you handle sensor synchronization and fusion?