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Salary: USD 140,000 - 260,000 / annual
Archer is an aerospace company building all-electric vertical takeoff and landing (eVTOL) aircraft for sustainable air mobility. The company designs, manufactures, and operates electric aircraft capable of carrying four passengers with minimal noise.
In this role, you will develop and optimize state-estimation algorithms for GPS-denied and GNSS-degraded navigation environments. Your responsibilities include implementing visual-inertial odometry (VIO), lidar/vision-aided inertial navigation systems (INS), and multi-sensor fusion approaches. You will integrate state-estimation solutions with onboard sensors including IMUs, cameras, lidar, and other avionics hardware.
Key responsibilities:
- Develop and tune state-estimation algorithms for challenging navigation scenarios
- Implement VIO, lidar/vision-aided INS, and sensor fusion techniques
- Integrate navigation solutions with multiple sensor types
- Validate performance through simulation, bench testing, and field testing
- Analyze test data to identify and resolve navigation issues
- Collaborate with perception, controls, and test teams to ensure robust navigation across operating conditions
Required qualifications include background in guidance, navigation & control (GN&C), robotics, or related technical field. You must have strong proficiency in C++ and Python, with hands-on experience in VIO/SLAM techniques, EKF or factor-graph-based sensor fusion, and integration of IMU, camera, and lidar sensors.
Bonus qualifications include experience with PX4 or ArduPilot EKF, GPS-denied navigation testing, and subscale aircraft or robotics navigation backgrounds. This is an onsite position based in San Jose; visa sponsorship is not available.
