Senior Autonomy Software Engineer, Mapping

What you'll do

• Set architecture and strategy for onboard navigation and pose estimation; lead sensor-fusion development across IMU, camera, and lidar.
• Guide visual and lidar odometry algorithms, evaluate new techniques, and define organization-wide navigation metrics and evaluation methods.
• Assess sensor performance and calibration, and serve as a technical escalation point for complex localization problems.

What they ask for

• BS, MS, or PhD with academic or industry experience building navigation, localization, and odometry systems.
• Expertise in C++ and strong software engineering skills for high-reliability deployed applications.
• Deep experience converting raw sensor data into 6-DOF pose using Kalman filtering, factor graphs, or comparable state-estimation techniques.
• Experience with computer vision, visual odometry, and/or odometry from point clouds; history of mentoring engineers.

Pay

$200,000 — $260,000 USD base salary

Tools

C++, GNSS, IMU, wheel speed, Kalman Filtering, factor graphs, computer vision, lidar

AI focus

The role develops navigation and localization systems for autonomous vehicles, including sensor fusion and pose estimation. The posting also states that a third-party AI tool assists with initial application screening; humans make final hiring decisions.