Software Engineer, State Estimation & Localization

Job description

Job responsibilities

• Design, implement, and deploy state-estimation and localization algorithms for autonomous construction machines
• Combine GNSS, IMU, lidar, and machine-sensor data into accurate, real-time estimates of machine position, motion, and configuration
• Improve reliability through sensor monitoring, consistency checks, fault detection, trustworthy confidence estimates, redundancy, and graceful degradation
• Handle measurements that arrive late, out of order, intermittently, or not at all
• Build ground-truth systems, offline reference estimators, metrics, and regression tests that measure performance and expose failures
• Work on related problems such as sensor calibration, clock synchronization, lidar-based arm estimation, and joint offline estimation
• Diagnose issues using field data, recorded-data replay, and simulation, then test improvements on physical machines
• Collaborate with controls, perception, safety, hardware, and systems teams to improve the performance of the complete autonomy system

Job requirements

• 4+ years of professional engineering or applied research experience in state estimation, localization, navigation, SLAM, or sensor fusion
• Strong foundations in probabilistic estimation, linear algebra, 3D geometry, and numerical methods
• Hands-on experience with one or more of GNSS/INS fusion, Kalman filtering, factor graphs, lidar or visual odometry, point-cloud registration, or sensor calibration
• Strong production software skills in Rust or modern C++. Our production stack is primarily Rust, and we will support experienced C++ engineers as they ramp up
• Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing
• Strong debugging and data-analysis skills, including the ability to investigate problems across algorithms, software, sensors, and hardware
• A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience