Senior SLAM Engineer
Core
Design, develop, and deploy state estimation, mapping, and calibration systems for autonomous earthmoving machines operating in dynamic, feature-poor environments.
Role type
Senior IC SLAM Machine Learning Engineer
Builds
Production SLAM systems, sensor calibration pipelines, and localization tools for heavy-duty autonomous machinery
Domain
Robotics, Autonomous Earthmoving, State Estimation
Deliverable
production ML models
Required skills
SLAM system design, state estimation, multi-sensor fusion, factor graph optimization, automated sensor calibration, C++14/17, Python, LiDAR odometry, point cloud registration, IMU integration, probabilistic robotics, linear algebra, 3D geometry
Preferred skills
Off-road autonomy experience, continuous/online calibration algorithms, complex vehicle kinematics, dynamic environment mapping
Technologies
GTSAM, Ceres Solver, g2o, LOAM, ICP, NDT
Responsibilities
Architect multi-sensor fusion algorithms for high-frequency state estimation; Develop mapping stack including point cloud registration and loop closure; Design automated calibration pipelines for multi-sensor rigs; Implement multi-modal localization algorithms for edge deployment; Integrate SLAM outputs with perception and planning systems; Analyze field telemetry to improve system reliability
Seniority
Senior, hands-on IC
